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. 2024 Oct 24;135(5-6):2871–2908. doi: 10.1007/s00170-024-14597-2

Large-scale investigation of dry orthogonal cutting experiments Ti6Al4V and Ck45

Hagen Klippel 1,, Stefan Süssmaier 1, Nanyuan Zhang 1, Michal Kuffa 1, Konrad Wegener 1
PMCID: PMC11528021  PMID: 39493498

Abstract

The numerical simulation of metal cutting processes requires material data for constitutive equations, which cannot be obtained with standard material testing procedures. Instead, inverse identifications of material parameters within numerical simulation models of the cutting experiment itself are necessary. This report presents the findings from a large-scale study of dry orthogonal cutting experiments on Ti6Al4V (Grade 5) and Ck45 (AISI 1045). It includes material characterization through microstructural analysis and tensile tests. The study details the measurement of cutting insert geometries and cutting edge radii, evaluates process forces, deduces friction coefficients and coefficients for Kienzle’s force model, and analyzes chip forms and thicknesses as well as built-up edge formation depending on the process parameters. The collected data, stored in pCloud, can support other researchers in the field, e.g. for recomputations within numerical models or inverse parameter identifications. The dataset includes force measurements, cutting edge scans, and chip images including longitudinal cross-sections of chips.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00170-024-14597-2.

Keywords: Dry orthogonal cutting, Material characterisation, AISI 1045, Ti6Al4V

Introduction

The metal cutting process is characterized by harsh conditions, which comprise large plastic strains up to 700%, strain rates up to 106s-1, and temperatures ranging from 500 to 1400 C, according to [1]. In the numerical simulation of such processes, material parameters for constitutive models are required, but these conditions cannot be reproduced neither in simple (direct) experiments nor in experiments combining the aforementioned conditions. Instead, material parameters need to be deduced from an inverse identification, where the cutting test itself serves as a material test, as for example shown in [2] for Ck45 material, in [3] for Al6061-T6 material, or in [4] for Ck45 and 16MnCr5 material.

Constitutive model constants taken from literature, e.g. for Ti6Al4V [5], show large variations, and so do the simulation results. Raw materials specified by the respective standards, when sourced from different suppliers and charges, show slight variations in the chemical composition within the tolerance bands and may have undergone different manufacturing steps (drawing, rolling, forging) and heat treatments, which finally leads to a wide scatter of thermo-mechanical behaviour [6]. An investigation performed on ferritic-pearlitic steels in [7] shows the yielding behaviour of C45 with a strong dependency of the microstructure. Similar variations are shown in [8], where the influence of the chemical composition and the manufacturing process on the yielding behaviour is analyzed. Since the initial conditions of the materials are often not clearly indicated in the literature, it is difficult to select a suitable constitutive model parameter set from literature for the numerical simulation of documented experiments. For example, [9] documents process forces and chip geometry measurements for Ti6Al4V, but properties for their material batch are not given. Similarly, [10] documents orthogonal cutting test results for various process parameter combinations without properties, which makes it difficult to recompute the experiments within numerical simulations.

Ck45 is a perlitic-ferritic steel which is easy to machine and widely used in mechanical engineering applications, e.g. for crankshafts, bolts, gears, and bearings [11]. The material exhibits dynamic strain aging (DSA), also known as blue brittleness, at elevated temperatures leading to increased yield stresses depending on plastic strain rate and temperature and thus can affect the chip formation and process forces. In [12], the importance of considering DSA effects in the constitutive modelling is highlighted, where improvements in the metal cutting of Ck45 are shown. A constitutive model which considers DSA is successfully presented in [13], and in [14], improvements of cutting force and chip formation predictions are shown when using constitutive models considering the DSA.

Titanium alloys are of great industrial interest [15] and find wide use in biotechnical applications due to their biocompatibility [16] and are also popular in aeronautics [17] due to their low density and high strength. The most widely used titanium alloy is Ti6Al4V which however is considered difficult to machine because the material removal rate is low if the tool wear is to be low, and since the high strength causes high process forces, crater wear forms close to the cutting edge due to short chip contact lengths and the low thermal conductivity supports segmented chip formation, which can cause vibrations.

It can be concluded from the above that it is not only necessary to document the process forces, but also to characterize the raw materials and the evolution of process forces, friction coefficients, chip thicknesses, and chip shapes as a function of the process parameters on the same batch of material. Therefore, the aim of the present publication is the documentation of a large-scale testing programme of Ck45 (AISI 1045) and Ti6Al4V (3.7165, Grade 5) using dry quasi-orthogonal cutting experiments together with a characterization of the raw materials. The cutting tests are performed in a wide range of feed rates (f=0.01..0.4mm/rev) and cutting speeds (vc=10...500m/min). Prior to the cutting experiments, the raw materials are examined: hardness tests, as well as microstructural analyses by means of investigating etched samples and electron backscatter diffraction (EBSD) analyses, are conducted to detect any irregularities, e.g. preferential grain orientations or material anisotropies, that may be caused by the manufacturing process. Tensile tests are carried out on test specimens of these materials, and material parameters for quasi-stationary conditions, together with the rate dependency at low strain rates, are documented.

In the orthogonal cutting tests, neither lubrication nor cooling has been used. Each cutting test was performed with an unused cutting edge to minimize possible wear effects on the process. All cutting edges were measured using 3D metrology before the cutting tests to determine the cutting edge radii in the unworn state using the procedure according to [18]. This is necessary because the cutting edge radius can have a significant influence on the process forces as reported by [19] for steel and in [20] for Ti6Al4V. The measured process forces, chip shapes, average chip thicknesses, chip microstructures, apparent friction coefficients according to Merchant [21] as well as an estimation of the friction coefficients according to Albrecht [19] and, where applicable, built-up edge formations and tempering colors are documented. The measured process forces are used to derive Kienzle coefficients for both materials over a large range of cutting speeds. The results of this investigation shall provide a database which can be used for recomputations within numerical simulations.

Materials and methods

A flow chart of this investigation is provided in Fig. 1. Basic inputs to the orthogonal tests are the raw materials, cutting inserts, and the test plan. The raw materials are used for micrographs, EBSD analyses, hardness measurements, and tensile tests. The cutting inserts are investigated before the tests to determine the cutting edge radii distribution along the cutting edge length. Output from the cutting tests are the chips, process forces, and the tool wear. The chips from each experiment are used to determine the average chip thicknesses, and from Ck45 chips, the tempering colours are investigated to estimate the chip temperature. The tool wear is analyzed qualitatively. If the tool wear is not high, the force measurements are used to analyze the frictional behaviour, to determine the Kienzle coefficients, and to evaluate the process forces with regard to feed rates, cutting speeds, and cutting edge radii. In the following sections, the methodologies and results are explained in detail.

Fig. 1.

Fig. 1

Flow chart of the investigations in this work with inputs (red boxes), outputs (green boxes), and result evaluations (orange boxes)

Cutting test setup

For the machining test, thin-walled cylinders with a diameter of D72mm and a wall thickness of d2mm are turned longitudinally on a Schaublin 42 L CNC lathe. This emulates an orthogonal cut closely. The cylinders are turned inside and outside from the raw workpieces in the same clamping setup. The machining of the outer surfaces removes the scaling and the decarburated zone of the Ck45. The setup with a cylinder in place is shown in Fig. 2 together with the experimental setup for the orthogonal cutting tests.

Fig. 2.

Fig. 2

Setup of the quasi-orthogonal cutting experiment: cylinder with cutting insert (left) and close-up (right) with cutting width b, feed speed vf, and cutting speed vc directions

Figure 3 shows the forces acting on the cutting insert.

Fig. 3.

Fig. 3

Quasi-orthogonal cutting setup with process force components: cylinder with cutting insert (left) and cutting plane in 2D (right)

Forces are measured using a Kistler 9121A5 dynamometer in combination with a Kistler 5019A charge amplifier and digitalized with a NI USB-6211 data acquisition system. The signal is low-pass filtered with a cut-off frequency of 30 Hz before being sampled with 1.1 kHz. Since the force measurement uses the piezoelectric effect, some voltage drift occurs over time, which leads to small offsets in the measured force signal F~meas. The force offset F~offset overlays the measured process force F~proc and is corrected after each cutting experiment:

F~proc=F~meas-F~offset 1

The offset F~offset of the force is evaluated by positioning the cutter before the cut with a distance of 1 mm away from the cylinder to cut. With the desired feed rate of the experiment, the cutter approaches the workpiece, and during this time, the idle forces F~offset are recorded and then used to correct to force signals with Eq. 1. A schematic of this correction is shown in Fig. 4.

Fig. 4.

Fig. 4

Force measurements using a piezoelectric dynamometer are overlayed with small force offsets due to voltage drifts and are corrected by evaluating the idle forces F~offset before the tool contacts the workpieces

High-speed camera recordings are conducted for the first cutting tests with a Phantom V12.1 camera using an endoscope (see the cutting setup in Fig. 3). References to these records are linked in the result tables in the appendix Tables 17 and 18. In order to simplify numerical modelling and to reduce the number of unknown parameters, the experiments are performed as dry cuts. Each combination of feed rates f and cutting speed vc is usually tested three times to ensure results quality and repeatability. For each test, an unused cutting edge is used and test durations are kept short in an attempt to keep tool wear insignificant.

Table 17.

Experimental results Ti6Al4V orthogonal cutting tests

Test vc f Fc σFc Ff σFf rn σrn havg σhavg lcut Tchip Wear Force
(m/min) (mm/rev) (N) (N) (N) (N) (μm) (μm) (μm) (μm) (mm) (K) measurement
V0001 10.5 0.01 55.7 2.1 83.8 4.9 37.1 2.0 34.4 9.1 2024 - L graphic file with name 170_2024_14597_Figao_HTML.gif
V0002 12.6 0.01 55.2 1.8 76.4 4.2 32.0 2.4 38.3 8.3 2024 - L graphic file with name 170_2024_14597_Figap_HTML.gif
V0003 10.5 0.01 57.4 1.8 80.7 4.6 30.8 4.0 44.0 20.8 2024 - L graphic file with name 170_2024_14597_Figaq_HTML.gif
V0004 12.6 0.1 214.0 7.7 149.0 6.5 33.5 3.2 160.4 - 607 - L graphic file with name 170_2024_14597_Figar_HTML.gif
V0005 10.5 0.1 209.1 7.0 130.7 5.2 27.4 5.0 158.4 - 607 - L graphic file with name 170_2024_14597_Figas_HTML.gif
V0006 12.6 0.1 210.4 7.0 138.1 6.0 29.8 2.1 130.8 33.2 607 - L graphic file with name 170_2024_14597_Figat_HTML.gif
V0007 10.5 0.1 0.0 0.0 0.0 0.0 33.8 2.2 175.4 - 607 - M graphic file with name 170_2024_14597_Figau_HTML.gif
V0008 12.6 0.1 0.0 0.0 0.0 0.0 30.3 1.9 358.1 19.2 607 - L graphic file with name 170_2024_14597_Figav_HTML.gif
V0009 12.6 0.1 0.0 0.0 0.0 0.0 30.3 1.9 157.7 - 607 - L graphic file with name 170_2024_14597_Figaw_HTML.gif
V0010 10.5 0.2 361.3 15.3 189.1 7.1 31.4 2.4 279.4 - 607 - L graphic file with name 170_2024_14597_Figax_HTML.gif
V0011 12.6 0.2 363.5 14.2 182.5 6.2 28.1 5.7 279.4 - 607 - L graphic file with name 170_2024_14597_Figay_HTML.gif
V0012 10.5 0.2 366.1 14.5 199.1 7.4 31.7 2.9 341.8 - 607 - L graphic file with name 170_2024_14597_Figaz_HTML.gif
V0013 12.6 0.01 54.9 1.8 76.2 4.4 32.0 4.1 31.1 2.2 2024 - L graphic file with name 170_2024_14597_Figba_HTML.gif
V0014 10.5 0.01 53.3 1.6 70.2 3.8 25.4 3.3 29.8 - 2024 - L graphic file with name 170_2024_14597_Figbb_HTML.gif
V0015 12.6 0.01 53.8 1.6 74.0 4.0 31.6 4.0 32.1 1.4 2024 - L graphic file with name 170_2024_14597_Figbc_HTML.gif
V0016 10.5 0.1 207.0 6.6 132.8 5.0 28.9 3.9 219.3 73.5 607 - L graphic file with name 170_2024_14597_Figbd_HTML.gif
V0017 12.6 0.1 208.0 7.2 138.3 5.6 31.3 2.1 180.0 0.5 607 - L graphic file with name 170_2024_14597_Figbe_HTML.gif
V0018 10.5 0.1 211.4 7.2 141.6 6.2 31.9 2.0 211.2 55.6 607 - L graphic file with name 170_2024_14597_Figbf_HTML.gif
V0019 12.6 0.2 362.2 13.9 181.2 6.4 26.2 3.1 288.1 - 607 - L graphic file with name 170_2024_14597_Figbg_HTML.gif
V0020 10.5 0.2 360.2 12.0 179.2 5.6 25.2 3.8 385.7 40.0 607 - L graphic file with name 170_2024_14597_Figbh_HTML.gif
V0021 12.6 0.2 358.8 12.8 186.6 6.7 30.5 2.1 296.6 42.1 607 - L graphic file with name 170_2024_14597_Figbi_HTML.gif
V0022 74.3 0.01 40.3 1.2 61.0 2.7 27.2 3.3 22.3 - 2024 - L graphic file with name 170_2024_14597_Figbj_HTML.gif
V0023 88.9 0.01 0.0 0.0 0.0 0.0 30.8 2.7 22.4 0.3 2024 - L graphic file with name 170_2024_14597_Figbk_HTML.gif
V0024 74.3 0.01 42.7 1.3 73.2 3.3 34.2 2.9 24.1 2.7 2024 - L graphic file with name 170_2024_14597_Figbl_HTML.gif
V0025 88.9 0.1 194.8 5.4 133.6 3.8 31.3 2.8 126.7 0.9 607 - L graphic file with name 170_2024_14597_Figbm_HTML.gif
V0026 74.3 0.1 195.9 5.3 137.5 4.6 33.6 5.3 113.6 6.9 607 - L graphic file with name 170_2024_14597_Figbn_HTML.gif
V0027 88.9 0.1 196.3 4.2 139.4 3.3 30.8 2.5 139.2 18.3 607 - L graphic file with name 170_2024_14597_Figbo_HTML.gif
V0028 74.3 0.2 316.1 9.1 170.5 3.8 32.0 1.9 202.5 24.2 607 - L graphic file with name 170_2024_14597_Figbp_HTML.gif
V0029 88.9 0.2 308.8 4.5 147.6 2.3 27.1 4.0 202.7 6.5 607 - L graphic file with name 170_2024_14597_Figbq_HTML.gif
V0030 74.3 0.2 319.2 6.7 172.1 3.3 33.3 1.8 232.9 33.3 607 - L graphic file with name 170_2024_14597_Figbr_HTML.gif
V0031 190.5 0.01 35.1 0.7 53.2 1.1 23.8 1.9 18.0 2.2 2024 - L graphic file with name 170_2024_14597_Figbs_HTML.gif
V0032 159.1 0.01 37.1 1.0 64.2 1.4 29.1 2.9 25.7 - 2024 - L graphic file with name 170_2024_14597_Figbt_HTML.gif
V0033 190.5 0.01 41.3 0.7 79.2 1.3 34.2 1.7 18.4 - 2024 - L graphic file with name 170_2024_14597_Figbu_HTML.gif
V0034 159.1 0.1 179.4 4.6 126.9 2.2 33.6 2.4 113.5 - 607 - L graphic file with name 170_2024_14597_Figbv_HTML.gif
V0035 190.5 0.1 175.5 1.4 119.2 0.8 32.7 1.8 148.9 25.9 607 - L graphic file with name 170_2024_14597_Figbw_HTML.gif
V0037 159.1 0.2 288.5 6.2 144.5 2.8 29.7 4.0 206.8 9.4 607 - M graphic file with name 170_2024_14597_Figbx_HTML.gif
V0038 190.5 0.2 289.8 4.8 158.9 2.4 32.8 2.2 198.0 - 607 - M graphic file with name 170_2024_14597_Figby_HTML.gif
V0039 159.1 0.2 289.2 3.3 145.0 2.2 29.3 3.6 198.8 - 607 - M graphic file with name 170_2024_14597_Figbz_HTML.gif
V0040 190.5 0.4 491.3 7.5 225.5 9.3 28.9 4.2 337.1 - 607 - M graphic file with name 170_2024_14597_Figca_HTML.gif
V0041 159.1 0.4 471.4 16.9 203.5 19.6 33.3 2.9 365.6 - 607 - M graphic file with name 170_2024_14597_Figcb_HTML.gif
V0042 190.5 0.4 490.8 8.5 238.2 8.3 35.6 2.4 368.6 - 607 - M graphic file with name 170_2024_14597_Figcc_HTML.gif
V0043 212.2 0.01 36.0 1.1 67.5 1.4 30.0 4.3 19.2 - 2024 - L graphic file with name 170_2024_14597_Figcd_HTML.gif
V0044 254.1 0.01 42.3 0.8 84.2 1.5 37.5 1.7 17.6 - 4049 - L graphic file with name 170_2024_14597_Figce_HTML.gif
V0045 212.2 0.01 38.0 0.9 66.4 1.5 30.5 2.0 24.3 - 4049 - L graphic file with name 170_2024_14597_Figcf_HTML.gif
V0046 254.1 0.01 39.5 0.8 72.5 1.2 32.1 3.6 19.6 2.8 4049 - L graphic file with name 170_2024_14597_Figcg_HTML.gif
V0047 212.2 0.1 171.0 2.3 120.9 1.0 33.8 2.8 117.3 10.7 607 - L graphic file with name 170_2024_14597_Figch_HTML.gif
V0048 254.1 0.1 168.3 2.3 119.0 1.9 32.9 2.5 87.9 3.3 607 - L graphic file with name 170_2024_14597_Figci_HTML.gif
V0049 212.2 0.1 171.8 2.8 126.7 2.0 36.8 1.9 85.0 - 607 - L graphic file with name 170_2024_14597_Figcj_HTML.gif
V0050 254.1 0.2 269.5 4.1 145.0 2.9 31.4 2.1 146.2 1.8 607 - L graphic file with name 170_2024_14597_Figck_HTML.gif
V0051 212.2 0.2 288.3 6.1 165.0 4.4 37.5 2.1 201.3 6.8 607 - L graphic file with name 170_2024_14597_Figcl_HTML.gif
V0052 254.1 0.2 271.2 7.1 143.7 4.7 31.3 2.8 166.6 35.4 607 - L graphic file with name 170_2024_14597_Figcm_HTML.gif
V0053 212.2 0.4 481.5 13.6 214.9 5.9 31.7 2.3 298.5 12.1 607 - M graphic file with name 170_2024_14597_Figcn_HTML.gif
V0054 254.1 0.4 449.8 12.2 208.4 7.9 35.3 3.4 234.9 17.2 607 - M graphic file with name 170_2024_14597_Figco_HTML.gif
V0055 212.2 0.4 483.4 8.0 216.1 4.1 33.4 3.7 351.4 38.0 607 - M graphic file with name 170_2024_14597_Figcp_HTML.gif
V0056 381.3 0.01 38.6 0.7 68.6 1.2 33.0 3.0 20.4 1.9 4049 - L graphic file with name 170_2024_14597_Figcq_HTML.gif
V0057 318.5 0.01 38.0 0.8 69.0 1.2 34.2 2.2 14.0 - 4049 - L graphic file with name 170_2024_14597_Figcr_HTML.gif
V0058 381.3 0.01 36.2 0.7 61.0 1.0 28.4 2.3 18.3 - 4049 - L graphic file with name 170_2024_14597_Figcs_HTML.gif
V0059 318.5 0.1 162.0 3.5 112.1 2.6 32.2 2.2 223.9 101.9 1214 - L graphic file with name 170_2024_14597_Figct_HTML.gif
V0060 381.3 0.1 157.5 3.3 115.5 2.8 33.0 2.4 99.7 - 1214 - L graphic file with name 170_2024_14597_Figcu_HTML.gif
V0061 318.5 0.1 159.1 3.8 104.9 3.0 28.7 4.6 122.3 10.1 1214 - L graphic file with name 170_2024_14597_Figcv_HTML.gif
V0062 381.3 0.2 262.1 5.7 162.7 11.8 34.1 2.1 145.4 6.5 1214 - M graphic file with name 170_2024_14597_Figcw_HTML.gif
V0063 318.5 0.2 270.3 4.9 158.3 6.0 32.5 2.1 147.7 10.1 1214 - M graphic file with name 170_2024_14597_Figcx_HTML.gif
V0064 381.3 0.2 260.0 4.3 165.6 9.5 35.2 2.7 153.5 - 1214 - M graphic file with name 170_2024_14597_Figcy_HTML.gif
V0065 318.5 0.4 455.6 10.5 272.1 32.2 36.8 2.2 232.3 20.9 1214 - H graphic file with name 170_2024_14597_Figcz_HTML.gif
V0066 381.3 0.4 468.5 9.4 412.3 59.6 34.8 2.1 161.5 - 1214 - H graphic file with name 170_2024_14597_Figda_HTML.gif
V0067 318.5 0.4 453.9 12.1 253.6 28.6 35.8 4.2 261.3 - 1214 - H graphic file with name 170_2024_14597_Figdb_HTML.gif
V0068 254.1 0.2 299.5 12.7 305.9 103.5 29.8 5.0 212.3 2.5 11136 - H graphic file with name 170_2024_14597_Figdc_HTML.gif
V0301 10.0 0.02 79.0 2.3 85.7 5.3 36.8 3.0 - - 3324 - L graphic file with name 170_2024_14597_Figdd_HTML.gif
V0302 10.0 0.02 83.5 2.4 97.2 5.9 41.2 2.2 93.1 27.3 3324 - L graphic file with name 170_2024_14597_Figde_HTML.gif
V0303 10.0 0.02 78.5 2.2 84.9 5.3 34.1 2.8 - - 3324 - L graphic file with name 170_2024_14597_Figdf_HTML.gif
V0304 10.0 0.06 155.4 4.8 121.7 6.5 40.6 2.4 103.6 6.8 3324 - L graphic file with name 170_2024_14597_Figdg_HTML.gif
V0305 10.0 0.06 154.3 4.9 118.9 6.5 39.9 2.9 - - 3324 - L graphic file with name 170_2024_14597_Figdh_HTML.gif
V0306 10.0 0.06 156.4 5.0 125.0 6.9 41.3 2.5 - - 3324 - L graphic file with name 170_2024_14597_Figdi_HTML.gif
V0307 10.0 0.1 -0.2 2.3 -0.1 1.4 34.4 4.3 - - 3324 - L graphic file with name 170_2024_14597_Figdj_HTML.gif
V0308 10.0 0.1 223.0 7.2 152.4 7.7 42.2 4.4 - - 3324 - L graphic file with name 170_2024_14597_Figdk_HTML.gif
V0309 10.0 0.1 223.5 7.8 154.6 8.4 42.4 3.6 164.2 4.2 3324 - L graphic file with name 170_2024_14597_Figdl_HTML.gif
V0310 50.1 0.02 61.7 1.7 71.4 3.3 32.4 4.0 - - 3324 - L graphic file with name 170_2024_14597_Figdm_HTML.gif
V0311 50.1 0.02 68.2 1.9 95.1 4.7 42.5 1.9 49.3 7.9 3324 - L graphic file with name 170_2024_14597_Figdn_HTML.gif
V0312 50.1 0.02 67.1 1.8 89.8 4.4 40.7 2.4 - - 3324 - L graphic file with name 170_2024_14597_Figdo_HTML.gif
V0313 50.1 0.06 139.8 4.2 121.3 4.5 38.4 2.9 - - 3324 - L graphic file with name 170_2024_14597_Figdp_HTML.gif
V0314 50.1 0.06 141.5 4.4 126.7 4.7 40.2 3.6 - - 3324 - L graphic file with name 170_2024_14597_Figdq_HTML.gif
V0315 50.1 0.06 138.4 4.2 117.8 4.4 38.3 2.7 75.7 3.6 3324 - L graphic file with name 170_2024_14597_Figdr_HTML.gif
V0316 50.1 0.1 211.4 6.2 143.2 3.7 38.7 2.5 - - 3324 - L graphic file with name 170_2024_14597_Figds_HTML.gif
V0317 50.1 0.1 210.8 6.2 141.6 3.8 36.7 2.2 - - 3324 - L graphic file with name 170_2024_14597_Figdt_HTML.gif
V0318 50.1 0.1 210.9 5.9 140.6 3.4 36.3 2.2 152.1 - 3324 - L graphic file with name 170_2024_14597_Figdu_HTML.gif
V0319 10.0 0.1 221.9 7.1 145.8 7.1 37.7 2.4 - - 3324 - L graphic file with name 170_2024_14597_Figdv_HTML.gif
V0320 19.9 0.01 55.9 3.1 84.5 5.2 40.5 2.8 22.8 - 3324 - L graphic file with name 170_2024_14597_Figdw_HTML.gif
V0321 19.9 0.01 57.2 1.8 85.8 5.1 39.2 2.3 - - 3324 - L graphic file with name 170_2024_14597_Figdx_HTML.gif
V0322 19.9 0.01 56.2 2.2 84.3 5.0 39.5 2.2 - - 3324 - L graphic file with name 170_2024_14597_Figdy_HTML.gif
V0323 19.9 0.04 111.7 4.2 108.5 5.9 38.1 3.1 - - 3324 - L graphic file with name 170_2024_14597_Figdz_HTML.gif
V0324 19.9 0.04 104.3 3.1 87.8 4.4 31.2 3.6 - - 3324 - L graphic file with name 170_2024_14597_Figea_HTML.gif
V0325 19.9 0.04 110.5 3.5 104.9 5.6 37.5 2.6 74.5 10.7 3324 - L graphic file with name 170_2024_14597_Figeb_HTML.gif
V0326 19.9 0.1 211.1 6.5 146.8 6.4 37.3 2.0 - - 3324 - M graphic file with name 170_2024_14597_Figec_HTML.gif
V0327 19.9 0.1 213.5 6.8 158.1 7.1 42.9 2.2 - - 3324 - M graphic file with name 170_2024_14597_Figed_HTML.gif
V0328 19.9 0.1 205.8 6.4 133.0 5.5 33.5 3.5 146.7 - 3324 - M graphic file with name 170_2024_14597_Figee_HTML.gif
V0329 100.0 0.01 44.1 1.0 81.4 3.3 40.6 2.1 - - 3324 - L graphic file with name 170_2024_14597_Figef_HTML.gif
V0330 100.0 0.01 43.5 1.1 77.7 3.1 40.0 2.7 - - 3324 - L graphic file with name 170_2024_14597_Figeg_HTML.gif
V0331 100.0 0.01 43.6 1.0 78.7 3.1 38.8 2.7 22.8 1.1 3324 - L graphic file with name 170_2024_14597_Figeh_HTML.gif
V0332 100.0 0.04 99.0 2.1 96.0 2.4 33.8 3.3 - - 3324 - L graphic file with name 170_2024_14597_Figei_HTML.gif
V0333 100.0 0.04 98.4 2.0 93.9 2.1 34.5 3.2 73.4 13.7 3324 - L graphic file with name 170_2024_14597_Figej_HTML.gif
V0334 100.0 0.04 102.8 2.4 111.5 3.0 41.0 2.7 - - 3324 - L graphic file with name 170_2024_14597_Figek_HTML.gif
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V0485 40.0 0.15 285.3 7.4 162.7 9.8 38.0 2.4 - - 3348 - M graphic file with name 170_2024_14597_Figkf_HTML.gif
V0486 40.0 0.2 349.7 6.5 178.7 9.7 33.2 4.4 - - 3348 - M graphic file with name 170_2024_14597_Figkg_HTML.gif
V0487 40.0 0.2 352.3 5.2 169.1 6.0 33.4 3.1 - - 3348 - M graphic file with name 170_2024_14597_Figkh_HTML.gif
V0488 40.0 0.2 353.1 6.2 180.6 8.8 37.2 3.3 233.7 - 3348 - M graphic file with name 170_2024_14597_Figki_HTML.gif
V0489 125.0 0.06 141.9 2.2 123.3 2.0 37.7 3.2 - - 3348 - M graphic file with name 170_2024_14597_Figkj_HTML.gif
V0490 125.0 0.06 141.7 2.3 122.8 2.3 37.9 3.3 88.5 8.6 3348 - M graphic file with name 170_2024_14597_Figkk_HTML.gif
V0491 125.0 0.06 141.9 2.2 125.2 2.1 39.0 3.2 98.9 16.1 3348 - M graphic file with name 170_2024_14597_Figkl_HTML.gif
V0492 125.0 0.15 258.3 2.6 150.5 1.8 37.1 4.0 - - 3348 - M graphic file with name 170_2024_14597_Figkm_HTML.gif
V0493 125.0 0.15 256.5 2.6 137.3 1.7 34.6 3.2 - - 3348 - M graphic file with name 170_2024_14597_Figkn_HTML.gif
V0494 125.0 0.15 259.2 2.6 154.2 1.9 39.3 2.7 171.6 2.7 3348 - M graphic file with name 170_2024_14597_Figko_HTML.gif
V0495 125.0 0.2 322.3 4.9 166.6 5.0 35.4 2.4 - - 3348 - M graphic file with name 170_2024_14597_Figkp_HTML.gif
V0496 125.0 0.2 324.0 5.3 176.1 5.0 38.6 3.3 296.9 135.6 3348 - M graphic file with name 170_2024_14597_Figkq_HTML.gif
V0497 125.0 0.2 321.7 4.1 173.4 3.6 42.9 4.6 - - 3348 - M graphic file with name 170_2024_14597_Figkr_HTML.gif
V0498 100.0 0.06 143.9 3.1 136.8 3.7 46.8 2.8 - - 3348 - M graphic file with name 170_2024_14597_Figks_HTML.gif
V0499 100.0 0.06 142.5 3.4 132.2 4.0 40.5 3.2 147.5 51.8 3348 - M graphic file with name 170_2024_14597_Figkt_HTML.gif
V0500 100.0 0.06 140.9 3.1 128.7 3.6 39.3 3.0 - - 3348 - M graphic file with name 170_2024_14597_Figku_HTML.gif
V0501 100.0 0.12 229.3 2.0 147.5 1.4 39.1 3.0 156.1 4.4 3348 - M graphic file with name 170_2024_14597_Figkv_HTML.gif
V0502 100.0 0.12 227.1 1.9 142.5 1.6 37.7 2.9 - - 3348 - M graphic file with name 170_2024_14597_Figkw_HTML.gif
V0503 100.0 0.12 229.4 1.9 149.9 1.6 38.1 2.9 - - 3348 - M graphic file with name 170_2024_14597_Figkx_HTML.gif
V0504 100.0 0.2 325.2 4.1 172.5 2.3 39.4 4.0 - - 3348 - M graphic file with name 170_2024_14597_Figky_HTML.gif
V0505 100.0 0.2 329.4 4.1 177.2 2.7 41.0 2.2 241.5 2.0 3348 - M graphic file with name 170_2024_14597_Figkz_HTML.gif
V0506 100.0 0.2 323.9 3.8 164.0 2.4 35.9 2.7 - - 3348 - M graphic file with name 170_2024_14597_Figla_HTML.gif
V0507 150.0 0.06 138.2 1.4 118.3 1.1 36.5 3.0 - - 3348 - M graphic file with name 170_2024_14597_Figlb_HTML.gif
V0508 150.0 0.06 139.8 1.4 130.6 1.5 41.0 2.8 109.3 21.5 3348 - M graphic file with name 170_2024_14597_Figlc_HTML.gif
V0509 150.0 0.06 137.4 1.3 117.1 1.2 37.3 3.0 - - 3348 - M graphic file with name 170_2024_14597_Figld_HTML.gif
V0510 150.0 0.12 218.6 1.7 144.3 1.7 39.0 2.4 149.9 13.8 3348 - M graphic file with name 170_2024_14597_Figle_HTML.gif
V0511 150.0 0.12 219.6 1.8 149.3 1.9 41.2 2.3 - - 3348 - M graphic file with name 170_2024_14597_Figlf_HTML.gif
V0512 150.0 0.12 216.9 1.7 137.5 1.5 35.4 2.2 - - 3348 - M graphic file with name 170_2024_14597_Figlg_HTML.gif
V0513 150.0 0.2 324.2 4.7 176.0 7.3 36.0 2.9 - - 3348 - M graphic file with name 170_2024_14597_Figlh_HTML.gif
V0514 150.0 0.2 325.1 5.8 185.3 7.9 37.8 2.8 276.6 51.4 3348 - M graphic file with name 170_2024_14597_Figli_HTML.gif
V0515 150.0 0.2 326.2 5.2 184.0 7.3 37.3 2.1 - - 3348 - M graphic file with name 170_2024_14597_Figlj_HTML.gif
V0516 150.0 0.02 63.6 1.0 91.0 1.9 38.3 2.5 38.5 11.3 3348 - L graphic file with name 170_2024_14597_Figlk_HTML.gif
V0517 150.0 0.02 61.6 0.8 83.2 1.5 34.8 3.6 - - 3348 - L graphic file with name 170_2024_14597_Figll_HTML.gif
V0518 150.0 0.02 63.4 0.8 89.0 1.6 36.2 3.9 - - 3348 - L graphic file with name 170_2024_14597_Figlm_HTML.gif
V0519 150.0 0.03 85.4 1.2 105.7 1.8 40.0 2.8 38.8 0.5 3348 - L graphic file with name 170_2024_14597_Figln_HTML.gif
V0520 150.0 0.03 87.1 1.2 108.3 1.9 38.1 4.1 - - 3348 - L graphic file with name 170_2024_14597_Figlo_HTML.gif

Table 18.

Experimental results Ck45 orthogonal cutting tests

Test vc f Fc σFc Ff σFf rn σrn havg σhavg lcut Tchip Wear Force
(m/min) (mm/rev) (N) (N) (N) (N) (μm) (μm) (μm) (μm) (mm) (K) measurement
Test vc f Fc σFc Ff σFf rn σrn havg σhavg lcut Tchip Wear Force
(m/min) (mm/rev) (N) (N) (N) (N) (μm) (μm) (μm) (μm) (mm) (K) measurement
V0069 10.1 0.01 52.1 11.0 31.6 6.7 33.9 1.6 - - 6587 - L graphic file with name 170_2024_14597_Figlp_HTML.gif
V0070 10.1 0.01 47.0 7.1 28.4 4.2 35.5 2.3 71.1 - 6587 360 L graphic file with name 170_2024_14597_Figlq_HTML.gif
V0071 10.1 0.01 47.7 9.5 28.4 5.7 39.5 4.9 - - 6587 - L graphic file with name 170_2024_14597_Figlr_HTML.gif
V0072 10.1 0.1 325.1 26.7 185.5 19.3 42.3 2.4 228.6 - 1317 360 L graphic file with name 170_2024_14597_Figls_HTML.gif
V0073 10.1 0.1 312.1 38.8 175.8 20.0 39.2 3.0 190.2 - 1317 360 L graphic file with name 170_2024_14597_Figlt_HTML.gif
V0074 10.1 0.1 310.3 25.2 173.0 15.9 39.0 3.8 231.3 - 1317 360 L graphic file with name 170_2024_14597_Figlu_HTML.gif
V0075 10.1 0.2 509.0 9.2 303.2 27.0 42.4 2.0 439.0 - 1317 360 L graphic file with name 170_2024_14597_Figlv_HTML.gif
V0076 10.1 0.2 543.9 39.7 306.9 30.7 39.2 4.0 367.9 - 1317 360 M graphic file with name 170_2024_14597_Figlw_HTML.gif
V0077 10.1 0.2 543.7 39.9 298.6 32.0 42.4 2.3 516.4 - 1317 360 M graphic file with name 170_2024_14597_Figlx_HTML.gif
V0078 10.1 0.2 542.9 32.6 297.3 28.2 33.2 4.7 444.3 - 1317 360 L graphic file with name 170_2024_14597_Figly_HTML.gif
V0079 70.1 0.01 38.5 9.5 24.3 6.4 41.2 2.5 69.0 - 4391 360 L graphic file with name 170_2024_14597_Figlz_HTML.gif
V0080 70.1 0.01 38.0 9.0 23.7 5.6 36.3 4.6 - - 6587 360 L graphic file with name 170_2024_14597_Figma_HTML.gif
V0081 70.1 0.01 37.0 9.8 23.3 6.2 42.4 2.5 90.4 - 21959 360 L graphic file with name 170_2024_14597_Figmb_HTML.gif
V0082 70.1 0.1 283.7 14.6 233.6 25.6 40.6 2.6 - - 1317 250 L graphic file with name 170_2024_14597_Figmc_HTML.gif
V0083 70.1 0.1 329.6 8.9 319.8 11.2 39.5 3.6 - - 1976 250 M graphic file with name 170_2024_14597_Figmd_HTML.gif
V0084 70.1 0.1 379.7 4.0 401.0 5.7 38.2 4.1 395.5 - 4391 300 M graphic file with name 170_2024_14597_Figme_HTML.gif
V0085 70.1 0.1 387.3 2.9 412.2 2.9 43.8 2.3 414.8 4.3 4391 290 M graphic file with name 170_2024_14597_Figmf_HTML.gif
V0086 70.1 0.2 612.8 9.9 511.3 2.7 38.1 3.5 - - 2195 290 M graphic file with name 170_2024_14597_Figmg_HTML.gif
V0087 70.1 0.2 617.0 8.1 511.5 0.7 41.4 2.5 679.2 - 2195 290 M graphic file with name 170_2024_14597_Figmh_HTML.gif
V0088 70.1 0.2 614.7 8.5 511.5 0.7 41.4 2.5 606.5 - 2195 290 M graphic file with name 170_2024_14597_Figmi_HTML.gif
V0089 70.1 0.2 614.3 8.3 544.9 14.6 36.0 2.6 - - 2195 290 M graphic file with name 170_2024_14597_Figmj_HTML.gif
V0090 150.0 0.01 34.4 5.3 -169.7 4.0 39.8 2.5 57.7 14.2 21959 360 L graphic file with name 170_2024_14597_Figmk_HTML.gif
V0091 150.0 0.01 36.5 5.9 25.0 4.3 41.7 2.1 44.0 - 21959 360 L graphic file with name 170_2024_14597_Figml_HTML.gif
V0092 150.0 0.01 36.3 6.4 24.9 4.6 39.5 2.5 37.9 2.2 21959 360 L graphic file with name 170_2024_14597_Figmm_HTML.gif
V0093 150.0 0.1 344.4 1.2 334.9 1.6 41.5 3.5 318.0 - 4391 290 M graphic file with name 170_2024_14597_Figmn_HTML.gif
V0094 150.0 0.1 346.8 2.3 340.2 3.8 43.4 2.0 346.2 - 4391 290 M graphic file with name 170_2024_14597_Figmo_HTML.gif
V0095 150.0 0.1 342.9 2.3 332.4 3.6 36.1 3.0 353.2 - 4391 290 M graphic file with name 170_2024_14597_Figmp_HTML.gif
V0096 150.0 0.2 549.0 3.0 410.3 4.1 40.6 2.5 512.8 - 2195 290 M graphic file with name 170_2024_14597_Figmq_HTML.gif
V0097 150.0 0.2 544.6 5.0 401.9 9.7 44.7 2.1 529.6 - 2195 360 M graphic file with name 170_2024_14597_Figmr_HTML.gif
V0098 150.0 0.2 544.8 3.7 402.0 6.1 41.3 2.2 409.5 36.7 2195 340 M graphic file with name 170_2024_14597_Figms_HTML.gif
V0099 150.0 0.4 876.9 20.6 470.4 39.7 42.9 2.5 724.3 - 1097 320 M graphic file with name 170_2024_14597_Figmt_HTML.gif
V0100 150.0 0.4 920.4 5.9 515.7 4.5 40.0 2.5 801.9 96.8 2195 340 M graphic file with name 170_2024_14597_Figmu_HTML.gif
V0101 150.0 0.4 899.5 15.1 498.8 23.7 42.0 2.9 638.6 - 4940 340 M graphic file with name 170_2024_14597_Figmv_HTML.gif
V0102 30.0 0.02 72.6 27.8 45.2 16.3 40.5 2.9 - - 3440 360 L graphic file with name 170_2024_14597_Figmw_HTML.gif
V0103 30.0 0.02 71.6 24.5 43.9 14.2 39.2 2.9 - - 3440 360 L graphic file with name 170_2024_14597_Figmx_HTML.gif
V0104 30.0 0.02 70.2 24.1 43.2 14.3 40.2 2.7 244.0 - 3440 360 L graphic file with name 170_2024_14597_Figmy_HTML.gif
V0105 30.0 0.06 188.3 20.8 108.6 14.2 42.4 2.4 - - 3440 360 L graphic file with name 170_2024_14597_Figmz_HTML.gif
V0106 30.0 0.06 170.6 29.0 96.9 16.4 36.0 3.9 108.3 - 3440 360 L graphic file with name 170_2024_14597_Figna_HTML.gif
V0107 30.0 0.06 166.2 32.6 95.5 18.1 42.3 2.1 - - 3440 360 L graphic file with name 170_2024_14597_Fignb_HTML.gif
V0108 30.0 0.15 377.0 29.3 216.1 19.9 38.3 2.9 242.4 - 3440 360 L graphic file with name 170_2024_14597_Fignc_HTML.gif
V0109 30.0 0.15 370.1 27.3 209.4 20.3 42.9 2.3 257.9 - 3440 360 L graphic file with name 170_2024_14597_Fignd_HTML.gif
V0110 30.0 0.15 377.1 26.8 218.9 18.8 39.9 2.7 221.5 22.9 3440 360 M graphic file with name 170_2024_14597_Figne_HTML.gif
V0111 100.0 0.02 64.0 18.6 41.2 12.1 40.5 2.4 - - 3440 360 L graphic file with name 170_2024_14597_Fignf_HTML.gif
V0112 100.0 0.02 64.1 19.9 41.9 12.9 38.2 4.9 104.6 - 3440 360 L graphic file with name 170_2024_14597_Figng_HTML.gif
V0113 100.0 0.02 63.2 12.6 41.2 8.3 42.4 3.0 48.4 - 3440 360 L graphic file with name 170_2024_14597_Fignh_HTML.gif
V0114 100.0 0.06 198.4 2.9 177.9 4.6 41.6 2.3 - - 3440 320 M graphic file with name 170_2024_14597_Figni_HTML.gif
V0115 100.0 0.06 196.9 2.3 175.5 3.9 38.1 4.5 - - 3440 290 M graphic file with name 170_2024_14597_Fignj_HTML.gif
V0116 100.0 0.06 195.8 2.7 172.6 4.8 37.3 3.7 161.5 - 3440 320 M graphic file with name 170_2024_14597_Fignk_HTML.gif
V0117 100.0 0.15 455.2 6.2 405.4 12.7 38.4 3.5 506.9 21.2 3440 300 M graphic file with name 170_2024_14597_Fignl_HTML.gif
V0118 100.0 0.15 461.8 6.5 420.1 11.5 37.2 4.0 - - 3440 360 M graphic file with name 170_2024_14597_Fignm_HTML.gif
V0119 100.0 0.15 476.3 8.1 443.7 14.2 39.5 3.0 - - 3440 360 M graphic file with name 170_2024_14597_Fignn_HTML.gif
V0120 30.0 0.04 126.3 25.2 72.6 15.5 38.2 2.6 - - 3440 360 L graphic file with name 170_2024_14597_Figno_HTML.gif
V0121 30.0 0.04 127.7 23.3 75.3 13.3 40.5 3.1 117.7 14.8 3440 360 L graphic file with name 170_2024_14597_Fignp_HTML.gif
V0122 30.0 0.04 121.7 35.2 71.5 20.1 35.2 4.5 - - 3440 360 L graphic file with name 170_2024_14597_Fignq_HTML.gif
V0123 30.0 0.1 262.5 23.4 152.9 15.5 43.1 2.1 - - 3440 360 L graphic file with name 170_2024_14597_Fignr_HTML.gif
V0124 30.0 0.1 253.2 26.7 144.5 16.8 39.0 2.9 - - 3440 360 L graphic file with name 170_2024_14597_Figns_HTML.gif
V0125 30.0 0.1 258.1 25.7 147.2 15.7 38.4 2.5 147.3 - 3440 360 L graphic file with name 170_2024_14597_Fignt_HTML.gif
V0126 30.0 0.2 488.6 26.6 289.1 23.2 39.6 3.2 - - 3440 240 M graphic file with name 170_2024_14597_Fignu_HTML.gif
V0127 30.0 0.2 501.3 28.5 307.1 30.0 44.0 2.1 448.1 78.9 3440 240 M graphic file with name 170_2024_14597_Fignv_HTML.gif
V0128 30.0 0.2 493.3 25.7 296.3 25.5 40.6 3.5 - - 3440 240 M graphic file with name 170_2024_14597_Fignw_HTML.gif
V0129 100.0 0.04 122.9 8.3 91.6 9.0 43.4 2.1 109.1 15.7 3440 250 L graphic file with name 170_2024_14597_Fignx_HTML.gif
V0130 100.0 0.04 120.1 10.7 85.4 8.7 31.6 3.3 - - 3440 360 L graphic file with name 170_2024_14597_Figny_HTML.gif
V0131 100.0 0.04 113.6 12.7 79.9 11.4 36.5 4.7 - - 3440 240 L graphic file with name 170_2024_14597_Fignz_HTML.gif
V0132 100.0 0.1 350.9 3.1 360.2 5.4 39.2 3.5 - - 3440 320 M graphic file with name 170_2024_14597_Figoa_HTML.gif
V0133 100.0 0.1 350.0 2.4 355.7 5.5 37.6 2.3 379.1 - 3440 320 M graphic file with name 170_2024_14597_Figob_HTML.gif
V0134 100.0 0.1 353.6 1.8 364.8 2.8 38.3 2.7 - - 3440 320 M graphic file with name 170_2024_14597_Figoc_HTML.gif
V0135 100.0 0.2 565.3 10.5 459.0 19.1 38.5 6.2 - - 3440 340 M graphic file with name 170_2024_14597_Figod_HTML.gif
V0136 100.0 0.2 552.9 12.3 444.3 24.6 44.3 5.2 - - 3440 320 M graphic file with name 170_2024_14597_Figoe_HTML.gif
V0137 100.0 0.2 565.9 9.2 461.8 16.3 40.4 3.2 572.9 - 3440 340 M graphic file with name 170_2024_14597_Figof_HTML.gif
V0138 30.0 1.0 1590.6 61.8 1417.5 170.1 0.0 0.0 - - 3440 - H graphic file with name 170_2024_14597_Figog_HTML.gif
V0139 50.1 0.02 67.9 25.9 41.2 15.0 38.9 3.7 145.6 - 3308 360 L graphic file with name 170_2024_14597_Figoh_HTML.gif
V0140 50.1 0.02 73.1 22.6 45.3 13.3 39.9 3.3 59.4 - 3308 360 L graphic file with name 170_2024_14597_Figoi_HTML.gif
V0141 50.1 0.02 68.0 28.1 42.1 17.0 40.4 2.6 - - 3308 360 L graphic file with name 170_2024_14597_Figoj_HTML.gif
V0142 50.1 0.06 164.3 40.3 99.1 23.0 38.4 3.3 - - 3308 360 L graphic file with name 170_2024_14597_Figok_HTML.gif
V0143 50.1 0.06 167.2 29.7 100.9 16.6 35.2 5.2 191.2 - 3308 360 L graphic file with name 170_2024_14597_Figol_HTML.gif
V0144 50.1 0.06 158.0 40.8 94.6 23.1 36.6 2.6 - - 3308 360 L graphic file with name 170_2024_14597_Figom_HTML.gif
V0145 50.1 0.15 506.7 10.7 487.4 16.5 42.8 2.6 - - 3308 240 M graphic file with name 170_2024_14597_Figon_HTML.gif
V0146 50.1 0.15 511.1 6.1 493.2 9.5 43.3 2.5 614.2 - 3308 280 M graphic file with name 170_2024_14597_Figoo_HTML.gif
V0147 50.1 0.15 504.7 7.7 483.2 15.1 38.1 2.8 - - 3308 300 M graphic file with name 170_2024_14597_Figop_HTML.gif
V0148 150.0 0.02 73.5 4.9 59.7 4.3 36.3 2.6 - - 3308 260 L graphic file with name 170_2024_14597_Figoq_HTML.gif
V0149 150.0 0.02 68.2 7.9 51.6 6.2 39.3 2.9 - - 3308 360 L graphic file with name 170_2024_14597_Figor_HTML.gif
V0150 150.0 0.02 69.2 6.3 53.7 5.5 41.0 4.3 64.3 2.0 3308 240 L graphic file with name 170_2024_14597_Figos_HTML.gif
V0151 150.0 0.06 224.4 1.8 239.6 3.0 37.2 2.1 211.7 - 3308 340 M graphic file with name 170_2024_14597_Figot_HTML.gif
V0152 150.0 0.06 226.2 1.4 244.7 2.0 38.2 3.3 - - 3308 340 M graphic file with name 170_2024_14597_Figou_HTML.gif
V0153 150.0 0.06 224.5 1.4 239.9 3.0 40.8 1.9 - - 3308 340 M graphic file with name 170_2024_14597_Figov_HTML.gif
V0154 150.0 0.15 428.6 2.9 353.1 4.1 35.3 2.9 303.8 - 3308 340 M graphic file with name 170_2024_14597_Figow_HTML.gif
V0155 150.0 0.15 425.4 2.3 345.2 3.0 35.4 7.9 - - 3308 340 M graphic file with name 170_2024_14597_Figox_HTML.gif
V0156 150.0 0.15 430.4 3.6 356.7 4.7 37.9 2.4 - - 3308 300 M graphic file with name 170_2024_14597_Figoy_HTML.gif
V0157 50.1 0.04 113.1 28.8 65.8 16.2 38.2 2.6 - - 3308 360 L graphic file with name 170_2024_14597_Figoz_HTML.gif
V0158 50.1 0.04 122.7 23.1 73.0 13.4 37.8 4.4 114.1 22.1 3308 360 L graphic file with name 170_2024_14597_Figpa_HTML.gif
V0159 50.1 0.04 114.3 40.4 68.6 23.4 43.5 4.8 - - 3308 360 L graphic file with name 170_2024_14597_Figpb_HTML.gif
V0160 50.1 0.1 262.1 19.9 168.6 18.4 42.2 3.0 - - 3308 240 M graphic file with name 170_2024_14597_Figpc_HTML.gif
V0161 50.1 0.1 261.7 20.0 167.3 17.0 39.5 2.0 - - 3308 240 M graphic file with name 170_2024_14597_Figpd_HTML.gif
V0162 50.1 0.1 257.4 18.4 160.1 14.1 33.6 3.0 253.0 - 3308 240 M graphic file with name 170_2024_14597_Figpe_HTML.gif
V0163 50.1 0.2 654.4 6.4 623.0 10.6 42.4 2.4 - - 3308 290 M graphic file with name 170_2024_14597_Figpf_HTML.gif
V0164 50.1 0.2 651.7 5.2 615.7 8.6 43.2 2.2 720.5 - 3308 340 M graphic file with name 170_2024_14597_Figpg_HTML.gif
V0165 50.1 0.2 649.6 5.3 613.7 8.6 42.1 2.9 520.6 - 3308 340 M graphic file with name 170_2024_14597_Figph_HTML.gif
V0166 150.0 0.04 141.8 5.2 131.9 11.9 33.6 3.1 - - 3308 300 M graphic file with name 170_2024_14597_Figpi_HTML.gif
V0167 150.0 0.04 137.9 3.7 128.9 10.2 40.4 2.1 121.3 - 3308 340 M graphic file with name 170_2024_14597_Figpj_HTML.gif
V0168 150.0 0.04 139.7 5.7 133.5 14.6 40.5 1.8 170.1 - 3308 320 M graphic file with name 170_2024_14597_Figpk_HTML.gif
V0169 150.0 0.1 325.3 3.9 312.0 6.1 35.4 2.9 234.0 - 3308 340 M graphic file with name 170_2024_14597_Figpl_HTML.gif
V0170 150.0 0.1 322.4 6.1 307.5 10.7 36.3 2.7 - - 3308 300 M graphic file with name 170_2024_14597_Figpm_HTML.gif
V0171 150.0 0.1 326.6 6.6 313.6 11.5 40.5 2.7 351.0 - 3308 340 M graphic file with name 170_2024_14597_Figpn_HTML.gif
V0172 150.0 0.2 517.5 7.9 373.6 13.5 32.7 3.6 - - 3308 340 M graphic file with name 170_2024_14597_Figpo_HTML.gif
V0173 150.0 0.2 519.2 4.3 377.3 5.5 40.3 4.5 406.8 - 3308 340 M graphic file with name 170_2024_14597_Figpp_HTML.gif
V0174 150.0 0.2 520.0 12.2 380.3 20.9 40.7 2.8 410.9 - 3308 320 M graphic file with name 170_2024_14597_Figpq_HTML.gif
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Test plan

Orthogonal cutting tests are conducted for a large range of feed rates and cutting speeds. Each experimental set is repeated three times to ensure the reproducibility of the results. Because it is not clear, before the cutting experiments, when significant tool wear will occur, the cutting speeds vc and feed rates f are gradually increased until the process forces become instable or noticeable tool wear occurs. The process forces of such experiments are not analyzed. In total, 520 cutting tests are conducted, of which 288 are for Ti6Al4V and 232 for Ck45. The parameter ranges are given in Table 1, and all combinations of feed rates f and cutting speeds vc which are used in the cutting experiments of Ti6Al4V and Ck45 are displayed in Fig. 5.

Table 1.

Test matrix of the cutting tests

Cutting speed Feed rate
Material vc(m/min) f(mm/rev)
Ti6Al4V 10...500 0.01...0.4
Ck45 10...500 0.01...0.4
Fig. 5.

Fig. 5

Process parameter combinations used in the orthogonal cutting experiments

Cutting inserts

Uncoated turning inserts Sandvik Coromant CCMW 09T304 H13A (ISO) are used for the cutting experiments. The material of the cutting tool insert is grade H13A, which is a cobalt-bonded tungsten carbide with a Co content of 6wt% and a WC content of 94wt% [22]. The main geometrical data of the inserts are given in Table 2, and pictures of the turning insert geometry are provided in Fig. 6.

Table 2.

Main geometry data of Sandvik Coromant CCMW 09T304 H13A (ISO) inserts

Dimension Symbol Value
Corner edge radius RE 0.397mm
Cutting edge height S 3.969mm
Inscribed circle IC 9.525mm
Cutting edge length LE 9.272mm
Clearance angle α 7
Rake angle γ 0
Cutting edge radius rn See Section 2.2.1

Fig. 6.

Fig. 6

Cutting insert geometry (left) from [23] and four cut positions A–D (right) for cutting experiments, from [24]

One of the inserts was analyzed prior to the cutting experiments using a scanning electron microscope (SEM) and is shown in Fig. 7. The grain sizes are in the order of 1–3 μm. The hardness is measured on the rake face at three different positions using micro-hardness measurements and hardnesses between 1812 to 1877 HV10 are obtained.

Fig. 7.

Fig. 7

SEM analysis of the rake face prior to experiments on one of the Sandvik Coromant CCMW 09T304 H13A (ISO) inserts. Grain sizes are visible in the order of 1 to 3 μm

Additionally, surface roughnesses are measured on the rake face and the clearance face on one of the cutting inserts. The measurement is performed according to ISO 4287 using confocal measurements of the cutting insert surface topology with a Sensofar S neox microscope with 150× magnification. The results are compiled in Table 3.

Table 3.

Measured surface roughnesses of rake and clearance face according to ISO 4287

Face of cutting insert Ra(μm) Rz(μm)
Rake face 0.295 1.956
Clearance face 0.289 1.850

The cutting edge radii along the cutting edge length LE exhibit a certain scatter which results from the sintering and brushing process. Since these radii have a significant impact on the process forces, they are optically measured (see details in chapter 2.2.1). An Applitec SCACL-2020X-09 tool holder (ISO-2216) is used, which has an entering angle κ = 90° and an inclination angle λ = 0°. With these settings, the back engagement is ap=b·sinκ=b and the uncut chip thickness is h=f·sinκ=f. Each insert is used for four cutting experiments (two cuts per side of the insert) where after every experiment another position A–D is used on the insert. These four cut positions A–D are shown in Fig. 6.

Determination of cutting edge radii

The shape of the cutting insert, especially the cutting edge radius, has a major influence on the process forces of the turning operation. Albrecht [19] showed for steel that with increasing cutting edge radius, the feed force Ff increases strongly, and the cutting force Fc increases moderately. The effect becomes more pronounced with higher feed rates. Wyen [20] conducted a similar investigation for Ti6Al4V revealing comparable influences on the process forces (see Fig. 8).

Fig. 8.

Fig. 8

Influence of cutting edge radius rn and feed rate f on the cutting and feed forces for orthogonal cutting of Ti6Al4V, from [20]. The forces are normalized to a cutting width of b=1mm, the cut speed was vc=70m/min, the rake angle γ=10, and the clearance angle α=8

The inserts in this investigation have a cutting radius unspecified by the manufacturer, and therefore, all cutting edges (2 × 149 inserts) of the cutting inserts are optically measured with an Alicona InfiniteFocusG4 microscope prior to the cutting tests in an unused condition. With the focus variation principle [25, 26], 3D data of the scanned surfaces are generated, where a 20× magnification with 0.5 µm vertical and 7 µm lateral resolution is used to scan along the complete cutting edge length (LE). Initially, a scan depth of 60 µm was used, but since in some positions cutting edge radii of about 50 µm appeared, it was then later increased to 400 µm. Before the cutting edge radii determination the scanned 3D data is reworked. In a first step, single peaks (measurement artefacts) are removed. This is followed by the determination of the left and right endpoints of the cutting edge (LE) between the corner radii for which height profile gradients are evaluated. In between these two points, the cutting edge radii are analyzed and they serve as reference points for the exact determination of the cut position after the experiments (Fig. 9).

Fig. 9.

Fig. 9

Cutting insert with cut positions A and B showing start and endpoints of the cutting edge, shortest distances from the corners to the beginning of the cutting zones, and width of cuts

The determination of the cutting edge radii follows the procedures outlined in [18, 27] in order to ensure the reproducibility of the results. A total of about 1,275,000 cutting edge radii (>4000 radii per cutting edge) are extracted from the scans. Over all 149 cutting inserts, the cutting edge radius along LE varies between 20 µm and 50 µm (Fig. 10). The variation of the cutting edge radius along one cutting edge length LE can be significant, as for instance shown in Fig. 11, where it varies between rn 25 µm and rn 50 µm. The mean cutting edge radius is 37.5 µm with a standard deviation 4.9 µm. The scatter of the radius is the reason, why the exact cutting edge radius was determined after the experiments, when the location of the cut on the cutting edge is known for every insert and its four cut positions A–D. Histogram plots of the cutting edge length LE and the cutting edge radii are given in Fig. 10. The length of the cutting edge LE varies between 8.7 mm and 8.95 mm which is inline with the tolerance class of the selected inserts. The cutting edge radius is averaged along the cut width of 2 mm for each experiment and is given in Tables 17 and 18 together with the respective standard deviation.

Fig. 10.

Fig. 10

Histogram of cutting edge lengths LE (left) and cutting edge radii (right) over all cutting inserts

Fig. 11.

Fig. 11

Example of cutting edge radii variation along a single cutting edge, with averaged cutting edge radii at cut positions A and B

Chip thickness measurements

At least one chip from the three repetitions of each set of feed rate f and cutting speed vc is embedded in Bakelite, ground (120, 240, 500, 1000, 2500, 4000) and polished (6μm, 3μm, 1μm). After polishing, the chips are etched with Kroll (Ti6Al4V) and Nital (Ck45). The geometry and microstructure are then analyzed with a Keyence VHX-5000 microscope. The main dimensions which are measured are the chip area Achip and the unrolled chip length lchip using a polygonal approximation (see Fig. 12) from which the average chip thickness havg is computed as follows:

havg=Achiplchip 2

Due to the embedding process in Bakelite under high pressure, the chip curling radii are not evaluated, as thinner chips in particular are deformed thus changing the curvature.

Fig. 12.

Fig. 12

Measurement of average chip thicknesses havg by the chip area Achip and unrolled chip length lchip

Delivery condition of the materials

Raw materials of Ck45 and Ti6Al4V are used in cylindrical form with a diameter of 80 mm and a height of 90 mm. All cylinders are from the same batch of the respective material.

Ti6Al4V consists of two phases: α-phase and β-phase. The α-phase is stabilized by aluminium and has a hcp-structure, while the β-phase is stabilized by vanadium, consisting of a bcc-lattice [28]. This batch of material was produced using the triple vacuum arc remelting (VAR) method. After production, a heat treatment at 750 C for 90 min was performed followed by air cooling. The chemical composition as specified from the supplier is given in Table 4 and the tensile properties (minimum values) in Table 5.

Table 4.

Supplier information on the chemical composition of the material batches of Ti6Al4V and Ck45

Material Fe C N H O Y Al V
Ti6Al4V 0.111 0.025 0.020 0.003 0.15 <0.005 6.12 4.11
Ck45 Balance 0.445 0.01 0.002
Ti Mn Si P S Cr Ni Mo
Ti6Al4V Balance
Ck45 0.01 0.76 0.24 0.018 0.02 0.18 0.05 0.01
Cu Sn Nb B Residuals
each total
Ti6Al4V <0.1 <0.4
Ck45 0.15 0.006 0.001 0.000

Table 5.

Supplier information on tensile test results of the respective Ti6Al4V and Ck45 material batch

Dimension Ti6Al4V Ck45
Tensile strength Rm(MPa) 952 671
Yield strength Rp0.2(MPa) 869 420
Elongation at break (%) 16.5 (4D[29]) 22.2 (A5[30])
Reduction of area (%) 39
Hardness test (HRC) 30.0

The material batch of Ck45 (C45E) was produced in an electric shaft furnace and afterwards rolled into cylindric form. The chemical composition as specified by the supplier is shown in Table 4, and the tensile properties of the materials in Table 5. A Jominy test was performed by the supplier, and the results are shown in Table 6. The material exhibits a high hardenability at the outer surface where the hardness is up to 59 HRC which indicates a martensitic microstructure and decreases to 19 HRC with increasing distance from the surface, indicating a ferritic-perlitic microstructure.

Table 6.

Supplier information on Jominy test results of this material batch of Ck45

(mm) 1 2 3 4 5 6 7 8 9 10 11 13 15 20 25 30
HRC 59 57 54 46 37 34 30 29 28 27 26 25 24 23 21 19

Sample preparation

Deep bores are inserted into the raw cylinders using EDM drilling. A smaller cylinder of 60 mm diameter is cut out via wire EDM and used to manufacture the test specimens for tensile testing (see Section 2.4.4). The outer cylinders are used for orthogonal cutting experiments. A disk with a height of hdisk = 10 mm is sliced off of one cylinder of each material using wire EDM and used to determine the radial hardness profile. The disks are ground and polished prior to the hardness measurements. After the hardness measurements, the same disks are used to prepare etched samples from the top and side surfaces for microstructural investigations and EBSD analysis. An overview of the material usage is shown in Fig. 13.

Fig. 13.

Fig. 13

Raw material usage for material tests and orthogonal cutting tests (left) and sample orientations for hardness measurements, etched samples, and EBSD analysis with surface denominations (right)

Vickers hardness measurement

Vickers hardness measurements HV10 are conducted for Ck45 and Ti6Al4V. The measurements are performed on the top faces of each cylinder along four directions of the samples where in one direction a 1 mm stepping and in the others a 2 mm stepping was used. The hardness measurement directions and the results of the hardness measurement for both materials are shown in Fig. 14. The Ck45 has an average hardness of 184 HV10 but shows a hardness reduction down to 143 HV10 at the disk center within a radius of around 6 mm. Towards the outer radius, the hardness is constant except for the very last measurement point in direction 2 which shows a slight drop in hardness. The hardness distribution of the Ti6Al4V sample is almost constant in all directions and radial positions with the exception of some spots. The average hardness is 312 HV10.

Fig. 14.

Fig. 14

Hardness measurement directions (left) and results for Ti6Al4V (middle) and Ck45 (right)

Microstructure

The microstructure of the two materials is investigated by optical analysis of the etched surface and EBSD analysis. This investigation should indicate possible irregularities of the grain structure or anisotropy in the material which could lead to different requirements for the constitutive model to be used in numerical simulations of the cutting experiments.

Etched samples are prepared for microstructural analyses of the top and side surfaces. The Ti6Al4V samples are etched with Kroll. The microstructure of the top and side surfaces are shown in Fig. 15. Due to the heat treatment, both show a uniform microstructure without any salience.

Fig. 15.

Fig. 15

Microstructure of Ti6Al4V: the top surface (left) and the side surface (right) show a uniform grain structure

The Ck45 is etched with Nital. Figure 16 shows the top surface. A ferritic-perlitic microstructure is visible. Towards the outer surface, decarburations and mill scales can be seen. At the disk center, the microstructure is uniform. The side surface microstructure revealed a columnar structure along the cylinder axis (see Fig. 17). This is likely to have been induced by rolling during the manufacturing process.

Fig. 16.

Fig. 16

Microstructure of Ck45 steel: top surface at the disk center (left) showing a uniform grain structure and at outer radius (right) showing decarburation and mill scale

Fig. 17.

Fig. 17

Microstructure of Ck45 steel: side surface showing a columnar structure

The crystallographic orientations in the grains and the textures are measured with EBSD for the top and side surfaces of the Ck45 and Ti6Al4V material. The measured areas of the samples are given in Table 7. The EBSD analysis of Ti6Al4V reveals a slightly different ratio of α- and β-phase for top and side surfaces. The average grain diameters and average aspect ratios of the grains are similar for the side and top surfaces. The results, together with grain sizes and aspect ratios, are given in Table 8 for Ti6Al4V and Ck45. The grain orientations of the α-phases of Ti6Al4V are shown for the side and top surface in Fig. 18, the corresponding distributions of α and β-phases in Fig. 19. The pole figures of the α-phases are given with Fig. 20 for side and top surfaces, respectively. The pole figures reveal a slightly stronger texture on the side surface than on the top surface. The grain orientations of Ck45 are shown for the side and top surfaces in Fig. 21 and the pole figures in Fig. 22. Similar to Ti6Al4V, the side surface shows a stronger texture than the top surface which may have been induced by the rolling process during manufacturing.

Table 7.

EBSD measurement sizes of the four specimen

Specimen Surface Sample size (μm2) Figures
Ti6Al4V Side 443×347 18, 19, 20
Ti6Al4V Top 331×428
Ck45 Side 545×428 21, 22
Ck45 Top 709×556
Table 8.

Ti6Al4V and Ck45: EBSD measurement results for side and top surfaces

Material Ti6Al4V Ck45
Surface Side Top Side Top
Grain diameter, average Dg(μm) 9.9 9.1 17.8 14.3
Grain diameter, std.dev. μDg(μm) 4.2 3.2 13.5 9.3
Grain aspect ratio, average 1.8 1.7 1.8 1.8
Grain aspect ratio, std.dev 0.6 0.5 0.5 0.6
α-phase vol. % 96.7 94.8 - -
β-phase vol. % 3.3 5.2 - -
Fig. 18.

Fig. 18

EBSD of Ti6Al4V: side (left) and top (middle) surface with crystal orientations (right)

Fig. 19.

Fig. 19

EBSD of Ti6Al4V: α / β-phase distribution in the side (left) and top (right) surface

Fig. 20.

Fig. 20

Pole figures 0001, 101¯0, and 112¯0 of Ti6Al4V: top (top row) and side (bottom row) surface of the α-phase

Fig. 21.

Fig. 21

EBSD of Ck45: side (left) and top (middle) surface with crystal orientations (right)

Fig. 22.

Fig. 22

Pole figures 100, 110, and 111 of Ck45: top (top row) and side (bottom row) surface

Tensile tests

In the following, tensile test results on this batch of materials are summarized from [24]. The tensile tests are performed for both materials, Ck45 and Ti6Al4V, at room temperature for three different strain rates (ε˙pl=0.002s-1,0.1s-1,0.15s-1) and each repeated three times. The tensile test specimens are produced according to DIN50125 [31] with form B and the dimensions B8x40 from the inner core of the cylinders (see Fig. 14). The tensile tests revealed yield strengths at quasi-static conditions in the order of σy=867MPa for Ti6Al4V. For Ck45, Lüders band formation is observed, and the yield strength is in the order of σy=392MPa. The measured flow stress curves are used to fit material parameters for the work hardening and strain rate sensitivity part of the Johnson-Cook flow stress model [32]:

σy=A+B·(εpl)nwork hardening·1+C·lnε˙plε˙pl0strain rate sensitivity·1-T-TrefTf-Trefmthermal softening 3

where A, B, C, m, and n are material dependent parameters, εpl is the equivalent plastic strain, ε˙pl the plastic strain rate, T the temperature, Tf the melting temperature, and Tref the reference temperature of the material tests. Tests at temperatures higher than room temperature are not carried out; therefore, the parameter m stays undetermined. The parameters A, B, C, and n are determined with the procedure in [33] using the measured true stress–strain curves and the fracture stresses and strains using the Bridgman correction [34]. The strain rate sensitivity parameter C is valid only at very low strain rates, as the tests are conducted in the strain rate range from 0.002s-1 to 0.15s-1. The obtained Johnson-Cook parameters are given in Table 9. The experimental and JC-approximated flow curves are given together with the fit of the strain rate sensitivities in Fig. 23 for Ti6Al4V and in Fig. 24 for Ck45.

Table 9.

Ti6Al4V and Ck45: fit of the work hardening parameters A, B, and n and the strain rate sensitivity C of the JC flow stress model (3)

Material A B n ε˙plref C
(MPa) (MPa) (-) (1/s) (-)
Ti6Al4V 867 344 0.361 0.002 0.0145
Ck45 392 735 0.304 0.002 0.0108
Fig. 23.

Fig. 23

Ti6Al4V: measured stress–strain curves with fracture stresses and strains for the three tensile tests at quasi-static conditions (ε˙pl=0.002s-1) and fit of the Johnson-Cook parameters A, B, and n (left) and fit of the Johnson-Cook strain rate sensitivity parameter C (right)

Fig. 24.

Fig. 24

Ck45: measured stress–strain curves with fracture stresses and strains for the three tensile tests at quasi-static conditions (ε˙pl=0.002s-1) and fit of the Johnson-Cook parameters A, B, and n (left) and fit of the Johnson-Cook strain rate sensitivity parameter C (right). Note that the Lüders band formation is cut off in the displayed experimental flow curve

Thermophysical properties

Thermal and physical properties are not measured on the raw materials; therefore, typical values from the literature [35] are presented in Table 10.

Table 10.

Ti6Al4V and Ck45: EBSD measurement results for side and top surface

Quantity Symbol Unit Ti6Al4V Ck45
Young’s modulus E (GPa) 110 205
Poisson’s ratio ν (-) 0.342 0.29
Density ϱ (kg/m3) 4430 7870
Thermal conductivity λ (W/mK) 7.44 50.7
Specific heat cp (J/kgK) 553 486
Melting temperature Tm (K) 1877 1773

Results

Tables 15 and 16 in the appendix list the process parameters for each experiment ID and indicate for which experiment chip thicknesses are measured and for which etched samples are documented. The complete cutting test results are provided for Ti6Al4V in Table 17 and for Ck45 in Table 18 in the C. The process forces Fc and Ff are normalized to a cutting width of w=1mm and are given together with their respective standard deviations σFc and σFf. The next two columns contain the averaged cutting edge radius rn and its standard deviation σrn, followed by the average chip thickness havg and its standard deviation σhavg (if more than one chip is evaluated), the cutting distance lcut and the temperature of the chip Tchip derived from the tempering colour (only Ck45). Since in some cases, significant tool wear occurs at high cutting speeds and or high feed rates, the last two columns contain a statement about tool wear and the stability of the measured process forces. Experiments with unstable process forces or with high tool wear are not considered in the following evaluation.

Table 15.

Ti6Al4V: overview of process parameter combinations and according test numbers

graphic file with name 170_2024_14597_Figag_HTML.gif

Table 16.

Ck45: overview of process parameter combinations and according test numbers

graphic file with name 170_2024_14597_Figah_HTML.gif

Process forces and specific cutting energy

The experimentally measured process forces are normalized to a cutting width of b=1mm and are displayed for Ti6Al4V and Ck45 in Figs. 25 and 26, respectively. The colour of the dots indicates the cutting edge radius rn or cutting speed vc of the respective experiment. For Ti6Al4V, cutting and feed force increase with increasing feed rate. The cutting forces Fc tend to increase with increasing cutting edge radius rn, but decrease towards higher cutting speed vc. The feed force Ff increases as well with increasing rn, but it appears that increasing vc leads to higher forces below feed rates of around f=0,1mm/rev.

Fig. 25.

Fig. 25

Process forces Ti6Al4V cutting experiments, cutting (left column) and feed force component (right column) depending on the feed rate f, the colour depicts the cutting edge radius rn (top row) and the cutting speed vc (bottom row) of the experiment

Fig. 26.

Fig. 26

Process forces Ck45 cutting experiments, cutting (left column) and feed force component (right column) depending on the feed rate f, the colour depicts the cutting edge radius rn (top row) and the cutting speed vc (bottom row) of the experiment

The Ck45 exhibits a complex behaviour: the process forces increase as well with increasing feed rate, but dependencies on the cutting edge radius rn or cutting speed vc are not obvious. Instead, at a constant feed rate, the process forces first increase from very low to medium cutting speeds (vc100m/min) and then start to drop to similar low forces as with very low cutting speeds (see for example the feed forces at f=0,1mm/rev in Fig. 26).

With the measured cutting forces, the specific (volumetric) cutting energy (SCE) ec can be calculated according to [36]:

ec=Fcvcbhvc=FcAc=kc 4

with Fc being the cutting force, vc the cutting speed, b the cutting width, h the uncut chip thickness, Ac the cross-sectional area of the uncut chip and kc the specific cutting pressure. The material removal rate (MRR) is defined as follows:

MRR=vcbh=Acvc 5

The computed SCE are displayed in Fig. 27 versus the feed rate. The colouring of the data points corresponds to the MRR. For both materials, the SCE decreases with increasing feed rate as well as MRR.

Fig. 27.

Fig. 27

Specific cutting energy (SCE) versus feed rate f for Ck45 and Ti6Al4V. The colouring of the data points depicts the corresponding material removal rate (MRR)

Chip shapes

At least one chip sample of each combination of feed rate and cutting speed is embedded and etched. Cutting experiments for which etched images are available are provided in Tables 15 and 16 in Appendix 2, and they can be downloaded from the location provided in Table 13. In the following, a small selection is shown for Ti6Al4V and Ck45. For Ti6Al4V, chips in a feed rate range of f=0.01mm/rev,0.1mm/rev and 0.2mm/rev and at cutting speeds of vc=11,40,100 and 381m/min are displayed in Table 11. All chips are continuous with a wavy or segmented chip type. The chip segmentation becomes more pronounced towards higher feed rate f and higher cutting speed vc. None of the chips from the Ti6Al4V cutting experiments showed traces of the effect of built-up edges (BUE).

Table 13.

Data storage of the quasi-orthogonal cutting experiments

Data Link Comment
Cutting test data pCloud All cutting test data
Process forces pCloud Format: time (s), Fp(N), Ff(N), Fc(N)
Cutting edge pCloud New inserts, informations in
scans CutPositionsOnCuttingEdge.xls
Cutting edges pCloud
after tests
Chip images pCloud Overview
Chip images pCloud Microscope images
(polished) before etching
Chip images pCloud Microscope images with
(etched) chip microstructures

Table 11.

Ti6Al4V: chip overview of selected experiments with the chip flow direction in all images from right to left

f Scale Cutting speed vc(m/min)
(mm/rev) 100μm 11 40 100 381
0.01 graphic file with name 170_2024_14597_Figa_HTML.gif graphic file with name 170_2024_14597_Figb_HTML.gif graphic file with name 170_2024_14597_Figc_HTML.gif graphic file with name 170_2024_14597_Figd_HTML.gif graphic file with name 170_2024_14597_Fige_HTML.gif
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0.2 graphic file with name 170_2024_14597_Figk_HTML.gif graphic file with name 170_2024_14597_Figl_HTML.gif graphic file with name 170_2024_14597_Figm_HTML.gif graphic file with name 170_2024_14597_Fign_HTML.gif graphic file with name 170_2024_14597_Figo_HTML.gif

Towards higher cutting speeds and higher feed rates, the chip segmentation becomes more pronounced

For Ck45, chips in a feed rate range of f=0.02mm/rev,0.06mm/rev and 0.1mm/rev and at cutting speeds of vc=10,50,150 and 450m/min are displayed in Table 12. Ck45 chips show BUE traces in the chips up to vc=50m/min at all three feed rate levels, while at vc=150m/min, only for f=0.02mm BUE is visible, and for vc=450m/min, no BUE is visible at all. At higher cutting speeds and higher feed rates of the Ck45 cutting experiments, the BUE-formation diminishes, while chip segmentations start to form. The BUE and chip segmentation behaviour versus cutting speed and feed rate is displayed in Fig. 28.

Table 12.

Ck45: chip overview of selected experiments with the chip flow direction in all images from right to left

f Scale Cutting speed vc(m/min)
(mm/rev) 100μm 10 50 150 450
0.02 graphic file with name 170_2024_14597_Figp_HTML.gif graphic file with name 170_2024_14597_Figq_HTML.gif graphic file with name 170_2024_14597_Figr_HTML.gif graphic file with name 170_2024_14597_Figs_HTML.gif graphic file with name 170_2024_14597_Figt_HTML.gif
0.06 graphic file with name 170_2024_14597_Figu_HTML.gif graphic file with name 170_2024_14597_Figv_HTML.gif graphic file with name 170_2024_14597_Figw_HTML.gif graphic file with name 170_2024_14597_Figx_HTML.gif graphic file with name 170_2024_14597_Figy_HTML.gif
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Traces of BUE are encircled in blue. Towards higher cutting speed and higher feed rate, chip segmentation starts to form, while traces of BUE diminish and disappear

Fig. 28.

Fig. 28

Process conditions in Ck45 machining at which built-up edge formation traces are found in the chips (left), and chip segmentations occur (right)

Chip thickness

At least one chip of each combination of feed rate and cutting speed is embedded in Bakelite for the manual measurement of havg using the method described in Section 2.3. The measured thicknesses are documented in Appendix 3 in Tables 17 and 18 for Ti6Al4V and Ck45, respectively. The average chip thicknesses scatter for Ti6Al4V and Ck45. For each chip, the averaged chip thickness was measured in several areas, and standard deviations σhavg were determined from them, which are additionally given in the result tables in the appendix. The scatter can occur due to various reasons:

  • The manual measurement procedure of the chip area and the polygonal approximation of the unrolled chip length.

  • Misalignments of chips in the embedding procedure because the chips are curled not only in feed direction but also due to the radius of the cutted cylinder.

  • Low stiffness of thinner chips which could lead to skewing during the embedding process, and therefore, larger effective cross-sections can appear.

For different feed rates, averaged chip thicknesses have been evaluated as a function of cutting speed. Since the chip thickness measurements scatter for the reasons mentioned above, smoothed trendlines are created using the Savitzky-Golay filter [37] in SciPy [38]. In addition to the trendlines, contour plots of chip thicknesses are created over feed rates and cutting speeds, interpolating between available data points.

A trend of decreasing chip thicknesses towards an increase of the cutting speed vc at constant feed rate f is visible for both Ti6Al4V and Ck45 (see Figs. 29 and 30, respectively). In case of Ck45, an initial increase of the average chip thickness with increasing cutting speed for feed rates f0,04mm is seen. However, upon further increase of the cutting speed, the average chip thickness decreases again. The cutting speed at which the behaviour reverses is not the same for all feed rates: as the feed rate increases, the maximum of the average chip thickness moves towards smaller cutting speeds vc.

Fig. 29.

Fig. 29

Measured average chip thickness of Ti6Al4V for different feed rates f and varying cutting speeds vc. Evaluation for selected feed rates with smoothed trendlines (left) and contour plot with black dots used for the interpolation (right)

Fig. 30.

Fig. 30

Measured average chip thickness of Ck45 for different feed rates f and varying cutting speeds vc. Evaluation for selected feed rates with smoothed trendlines (left) and contour plot with black dots used for the interpolation (right)

Friction coefficient

The measured process forces in the cutting experiments can be used to deduce friction coefficients. The simplest estimation is based on the ratio of tangential and normal forces exerted on the tool, also known as apparent friction coefficient μapp. It is given according to Merchant [21, 39] as follows:

μapp=Ff+Fc·tanγFc-Ff·tanγ 6

with Ff and Fc being the feed and cutting components of the process forces and γ being the rake angle. The drawback of the apparent friction coefficient μapp is the neglection of the cutting edge radius influence assuming an ideal sharp tool (perfect wedge). The apparent friction coefficients are shown for Ti6Al4V cutting experiments in Fig. 31. Towards higher feed rates, the apparent friction coefficient decreases to levels of μapp0.4..0.6. Especially at low feed rates, it can be seen that, as expected, a higher cutting edge radius leads to higher apparent coefficients of friction, but μapp also increases with higher cutting speed.

Fig. 31.

Fig. 31

Apparent friction coefficients μapp versus feed rate f for Ti6Al4V . The colour indicates the cutting speed vc (left) and the cutting edge radius rn (right). μapp decreases with increasing feed rate f and decreasing cutting speed vc

The apparent friction coefficients of the Ck45 cutting experiments are shown in Fig. 32. The cutting edge radius rn plays no obvious role, as lower and higher rn occur at all levels of μapp. For very low feed rates f<0.05mm/rev and increasing cutting speed vc, an increase in μapp is visible. At higher cutting speeds, μapp decreases with increasing feed rate.

Fig. 32.

Fig. 32

Apparent friction coefficients μapp versus feed rate f for Ck45. The colour indicates the cutting speed vc (left) and the cutting edge radius rn (right). A dependency on the cutting edge radius rn is not visible, while for very low f and increasing cutting speed vc, an increase in μapp is visible which then drops upon a further increase in vc. This behaviour is likely due to a change in BUE formation and chip segmentation

Because the analysis of the apparent friction coefficients is not meaningful for Ck45, a contour plot is chosen instead, where the apparent friction coefficients are plotted versus cutting speed and feed rate. For comparison purposes, a similar plot is provided for Ti6Al4V as well in Fig. 33. While for Ti6Al4V the apparent coefficient is highest at small feed rates and almost independent from the cutting speed, a different behaviour can be seen for Ck45. The maximum values of μapp are grouped along a hyperbolic curve. This hyperbola is located at the same combinations of f and vc where changes in the BUE-formation and chip segmentation are observed in Fig. 28.

Fig. 33.

Fig. 33

Apparent friction coefficients μapp versus feed rate f and cutting speed vc for Ti6Al4V (left) and Ck45 (right). The colour indicates the magnitude of μapp at the respective f and vc. While for Ti6Al4V μapp reduces with increasing f, Ck45 behaviour is more complex and shows a hyperbolic shape of the maximum values of μapp

A more elaborated approach for the determination of the friction coefficient from cutting experiments is described by Albrecht [19], considering the ploughing effect due to finite sharpness effect in the determination of the friction coefficient μfr:

μfr=(Ff-Fpl,f)+(Fc-Fpl,c)·tanγ(Fc-Fpl,c)+(Ff-Fpl,f)·tanγ 7

with Fpl,c and Fpl,f being the ploughing force components exerted in normal and feed direction. The friction coefficient μfr equals the slope in a Ff-Fc—plot where at higher feed rates ploughing effects diminish since the ratio of the cutting edge radius rn to the feed rate f becomes very small. Using the measured process forces of all Ti6Al4Vexperiments, the trend in Fig. 34 becomes visible from which the friction coefficient can be estimated with Albrecht’s method as μfr=0.3.

Fig. 34.

Fig. 34

Friction coefficient μfr estimation based on Albrecht’s method for Ti6Al4V (left) and Ck45 (right). The estimated friction coefficient for Ck45 is very high and most likely inaccurate due to changes in BUE-formation and chip segmentation

However, for Ck45 the same method leads to a significantly higher friction coefficient of about μfr=0.78, which is why cutting speed-dependent friction coefficients were evaluated instead and are shown Fig. 35.

Fig. 35.

Fig. 35

Ck45 friction coefficients determined with Albrecht’s approach showing a reduction with increasing cutting speed

From lower cutting speeds, the friction coefficient increases from μfr=0.545 to a maximum of μfr=0.827 at vc=50m/min and from there continuously drops to μfr=0.19 at vc=450m/min. The trend of the friction coefficients at cutting speeds beyond vc=50m/min is similar to the ones reported in [12] and in [40]. The reason for the observed trend is possibly linked to changes in BUE-formation and chip segmentation as discussed in Section 3.2. Detailed figures for each cutting speed can be found in Appendix 1.

It is emphasized that a more credible deduction of friction coefficients requires cutting tests with specially prepared cutting edge radii rn as for example used in [10]. Alternatively, an in-process tribometer can be used for the determination of the friction coefficient [41] directly on the fresh-cut surface.

Tempering colours

During the cutting, the temperature in the chips increases due to plastic dissipation in the primary shear zone and friction in the secondary shear zone. In the case of the Ck45, the temperature increase leads to visible tempering colours in the chips, which can be matched to tabulated values [42]. The tempering colours can be used to estimate the occuring chip temperatures in a range between Tmin=200C and Tmax=360C. All Ck45 chips are manually analyzed, and the tempering colour dependence on the cutting speed is shown for selected feed rates together with interpolated contour plots in Fig. 36. At low cutting speeds, temperatures are in the order of the maximum temperature Tmax=360C. With increasing cutting speed, the temperatures first reduce to levels below T=300C between vc=100..200m/min. In cutting speed ranges of vc200..450m/min, the temperatures increase to Tmax360 followed by a temperature reduction when the cutting speed is increased beyond vc450m/min. A possible explanation of this effect is a change in the chip formation mechanism (see Section 3.2 and Fig. 28). This effect could be maybe induced by DSA, where at higher temperatures, the yield strength is increasing.

Fig. 36.

Fig. 36

Estimated Ck45 chip temperatures based on tempering colours for different feed rates f and varying cuttings speeds vc. Evaluation for selected feed rates (left) and interpolated contour plot (right) with black dots denoting the experimental data points which have been used for the interpolation

Tool wear

The tool wear depends on the feed rate, cutting speed, and the amount of material removed at these parameters. For each cutting experiment, the tool wear is visually inspected and qualitatively classified into three categories:

  • Low (L): no traces of crater wear or wear-land wear

  • Medium (M): beginning crater and wear-land wear

  • High (H): heavy crater and/or wear-land wear, cutting edge worn

Examples of different tool wear classifications are shown in Fig. 37. The tool wear classification is given for each experiment in the appendix in Tables 17 and 18 for Ti6Al4V and Ck45, respectively.

Fig. 37.

Fig. 37

Wear classification of the cutter inserts: examples for low (top), medium (middle), and high (bottom) wear. The text in yellow colour depicts the corresponding experiment number

Kienzle coefficients

The Kienzle-Victor process force model [43] is an empirical equation that relates the cutting force Fc to the cut width b, uncut chip thickness h, and a factor kc which is the cutting force per unit area:

Fc=kc·ap·f=kc·b·h 8

All effects of the process conditions like cutting speed, tool geometry, and workpiece and tool material are contained in kc. It was found by Kienzle that the cut width b scales linearly with the cutting force while the uncut chip thickness scales with a power law, where kc1.1 is the specific cutting force at b=h=1mm:

Fc=b·kc1.1·h1-mc 9

The model can be extended to feed and passive force as well [44]:

Ff=b·kf1.1·h1-mf 10
Fp=b·kp1.1·h1-mp 11

In quasi-orthogonal cutting, the passive force component is Fp0, and therefore, Eqs. 9 and 10 are used to determine the Kienzle coefficients kc1.1(vc),kf1.1(vc) and the respective exponents mc(vc),mf(vc) at different cutting speeds for Ti6Al4V and Ck45. For this purpose, kc and kf are computed from the process forces and are extrapolated to f=1mm for each cutting speed. Examples of such extrapolations are shown in Fig. 38 for two different cutting speeds.

Fig. 38.

Fig. 38

Kienzle coefficient determination for Ti6Al4V at cutting speeds of vc=70m/min (left) and vc=150m/min (right)

Figure 39 shows the dependencies of the Kienzle coefficients on the cutting speed for Ti6Al4V. The corresponding values are supplied in Table 19 in Appendix 4. Towards higher cutting speeds, the specific cutting and feed force coefficients reduce, while the exponents mc,mf increase.

Fig. 39.

Fig. 39

Kienzle coefficients for Ti6Al4V and various cutting speeds vc

Table 19.

Ti6Al4V: Kienzle coefficients for feed and cutting force estimations

vc (m/min) 11 13 20 40 50 52 60 70
kc1.1 (N/mm2) 1299 1264 1265 1253 1061 1156 1146 1156
mc (-) 0.21 0.22 0.22 0.22 0.28 0.27 0.27 0.24
kf1.1 (N/mm2) 413 333 421 352 274 328 300 282
mf (-) 0.51 0.63 0.54 0.61 0.7 0.66 0.69 0.69
vc (m/min) 74 80 89 100 125 150 159 162
kc1.1 (N/mm2) 941 1084 891 932 962 998 869 1027
mc (-) 0.32 0.28 0.34 0.33 0.31 0.3 0.31 0.28
kf1.1 (N/mm2) 282 267 177 226 283 283 235 303
mf (-) 0.69 0.73 0.89 0.77 0.69 0.7 0.72 0.67
vc (m/min) 191 212 254 318 381 400 500
kc1.1 (N/mm2) 881 859 749 712 663 803 662
mc (-) 0.32 0.32 0.37 0.36 0.38 0.35 0.41
kf1.1 (N/mm2) 255 248 199 186 205 329 280
mf (-) 0.71 0.72 0.8 0.78 0.75 0.66 0.73

For Ck45, the specific cutting and feed force coefficients slightly reduce until cutting speeds of vc=150m/min, followed by an increase towards vc=300m/min and reduce from thereon strongly. The increase around vc=300m/min is possibly induced by the dynamic strain aging (DSA) phenomenon [12, 14, 45]. Figure 40 shows the dependencies of the Kienzle coefficients on the cutting speed for Ck45. The corresponding values are supplied in Table 20 in Appendix 4.

Fig. 40.

Fig. 40

Kienzle coefficients for Ck45 and various cutting speeds vc

Table 20.

Ck45: Kienzle coefficients for feed and cutting force estimations

vc (m/min) 10 30 50 70 100 150 200
kc1.1 (N/mm2) 1935 1803 1417 1729 1672 1707 1716
mc (-) 0.19 0.17 0.51 0.35 0.32 0.28 0.26
kf1.1 (N/mm2) 996 995 654 1156 809 765 1030
mf (-) 0.23 0.2 0.96 0.55 0.65 0.6 0.45
vc (m/min) 250 300 350 450
kc1.1 (N/mm2) 1794 1851 1575 1368
mc (-) 0.22 0.22 0.27 0.29
kf1.1 (N/mm2) 1268 1446 1024 587
mf (-) 0.31 0.29 0.38 0.53

Data storage

The data is stored in the pCloud and contains process force measurement data, cutting edge radii scans, pictures of chip geometries, and etched chips (see the respective links in Table 13).

Conclusions

Large-scale dry cutting experiments were conducted on Ti6Al4V and Ck45, with pre-test material characterization including hardness, microstructure, and tensile tests. The Johnson-Cook flow stress model coefficients were derived from these tests for the work hardening and strain rate sensitivity.

Cutting experiments used pristine cutting edges to minimize wear effects, and each edge’s radius was measured to account for its influence on process forces. For Ti6Al4V, the cutting edge radius affected process forces, with visible ploughing effects at lower feed rates. The friction coefficient was estimated at about 0.3, with chips showing continuous or wavy shapes and reduced thicknesses at higher speeds. Both cutting and feed forces decreased with increased cutting speed.

For Ck45, the relationship between cutting edge radius, feed rate, and cutting speed was less clear. A contour plot indicated that the maximum apparent friction coefficient occurred at high speeds and low feed rates and shifted towards lower cutting speed to higher feed rates. Built-up edge formation and chip segmentation were associated with these friction coefficients. The specific cutting and feed forces decreased initially with cutting speed but increased beyond 300mmin-1, with similar trends in chip thickness reduction. Complex cutting behaviour in Ck45 is likely due to dynamic strain aging effects. DSA effects are probably also responsible for reduced temperatures estimated from chip tempering colours in the area of the highest apparent friction coefficients. However, differences in the tempering colours could only be evaluated for a small temperature range, as this method cannot make any statements for temperatures below 200 C and above 360 C.

Friction coefficients were estimated but could be more accurately determined using specially ground cutting edges to reduce the scatter in the force measurements. Another possibility would be the use of an in-process tribometer. For more precise information on the process temperatures, it is advisable to record temperature curves using a pyrometer or IR camera. Measurement of chip thicknesses was challenging due to manual methods, chip embedding issues, and partial three-dimensional chip curvature. A planing setup could better approximate orthogonal cutting, though it limits maximum cutting speeds to around 30mmin-1. The chip curling radii were not analyzed due to their variability during embedding.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

The authors would hereby like to thank Adrian Fuhrer, Igor Podjanin, Knut Krieger, Matthias Röthlin, Mohamadreza Afrasiabi, Fabian Kneubühler, Moritz Wiessner, Mikhail Klyuev, Sandro Wigger, Albert Weber, Christoph Baumgart, Lukas Seeholzer, the IVP institute at ETH Zürich, Dr. Thomas Tancogne-Dejean (IMES/ETH) for the help with the EBSD images, ScopeM of ETH Zürich for their assistance with the SEM analysis of the cutting tools and the Swiss National Science Foundation (SNF) for the financial support under Grant No. 200021-149436.

Appendix 1.    Friction coefficients for Ck45

The cutting speed dependent friction coefficients evaluated using Albrecht’s method [19] are given in Table 14, and the Fc - Ff diagrams for each cutting speed are shown in Fig. 41.

Table 14.

Friction coefficients for Ck45 determined at different cutting speeds with Albrecht’s method

Cutting speed vc (m/min) 10 30 50 70 100
Friction coefficient μfr (-) 0.545 0.594 0.827 0.491 0.461
Cutting speed vc (m/min) 150 200 250 350 450
Friction coefficient μfr (-) 0.301 0.365 0.371 0.240 0.190

Fig. 41.

Fig. 41

Friction coefficient μfr estimation based on Albrecht’s method [19] for Ck45 at different cutting speeds

Appendix 2.    Test overview

Tables 15 and 16 contain the cutting experiment numbers sorted according to feed rate (columns) and cutting speed (rows) for Ti6Al4V and Ck45, respectively. The cutting experiment numbers can be used to find more information of the respective experiment in Tables 17 and 18. The colouring of the experiment number indicates the following:

  • black: no chip thickness measurement available

  • Inline graphic : chip thickness measurement available

  • Inline graphic : chip thickness measurement and etched chip picture available

Appendix 3.    Experimental results

The complete cutting test results are provided for Ti6Al4V (V0001-V0068, V0301-V0520) in Table 17 and for Ck45 (V0069-V0300) in Table 18 below. Blue coloured experiment numbers contain a link to a high speed camera video of that test. The process forces Fc and Ff are normalized to a cutting width of w=1mm and are given together with their respective standard deviations σFc and σFf. The next two columns contain the averaged cutting edge radius rn and its standard deviation σrn, followed by the average chip thickness havg and its standard deviation σhavg (if more than one chip is evaluated), the cutting distance lcut and the temperature of the chip Tchip derived from the tempering colour (only Ck45). The last two columns contain a qualitative statement of the tool wear and the process force measurement.

Tests labelled with Inline graphic are without any objections. Tests labelled Inline graphic have to be treated with care as such experiments should be repeated with a longer cutting distance in order for the process forces to reach a stable value. If however the standard deviations in the process forces of such tests are small, they still can be considered as valid. Results from tests labelled Inline graphic or Inline graphic are not trustworthy while tests labelled with Inline graphic ran into the amplifier limits and tests marked Inline graphic are most likely of insufficient quality and therefore invalid for further use. Nonetheless, invalid experiments are listed in the result tables for two reasons. First, critical process parameters are known then. Second, the generated chips can be still used for evaluation at these process conditions.

Appendix 4.    Kienzle parameters

The Kienzle coefficients are given as a function of cutting speed for Ti6Al4V in Table 19 and for Ck45 in 20.

Author Contribution

Conceptualization: Hagen Klippel, Stefan Süssmaier Data curation: Hagen Klippel, Stefan Süssmaier Formal analysis: Hagen Klippel, Stefan Süssmaier, Nanyuan Zhang Funding acquisition: Konrad Wegener Investigation: Hagen Klippel, Stefan Süssmaier, Nanyuan Zhang Methodology: Hagen Klippel, Stefan Süssmaier Project administration: Konrad Wegener Resources: Konrad Wegener Software: Hagen Klippel Supervision: Konrad Wegener, Michal Kuffa Validation: Hagen Klippel, Stefan Süssmaier, Nanyuan Zhang Visualization: Hagen Klippel, Stefan Süssmaier, Nanyuan Zhang Writing—original draft: Hagen Klippel Writing—review and editing: Konrad Wegener, Stefan Süssmaier, Nanyuan Zhang, Michal Kuffa

Funding

Open access funding provided by Swiss Federal Institute of Technology Zurich. The research leading to these results received funding from the Swiss National Science Foundation (SNF) under Grant Agreement No. 200021 149436.

Availability of Data and Materials

All data generated or analyzed during this study are included in this published article or a link to a cloud storage location is provided.

Declarations

Conflict of Interest

The authors declare no Conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Supplementary Materials

Data Availability Statement

All data generated or analyzed during this study are included in this published article or a link to a cloud storage location is provided.


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