Skip to main content
Sensors (Basel, Switzerland) logoLink to Sensors (Basel, Switzerland)
. 2024 Dec 13;24(24):7969. doi: 10.3390/s24247969

Influence of Lamb Wave Anisotropy on Detection of Water-to-Ice Phase Transition

Andrey Smirnov 1, Vladimir Anisimkin 1, Nikita Ageykin 1, Elizaveta Datsuk 1, Iren Kuznetsova 1,*
Editor: Vittorio Ferrari1
PMCID: PMC11679329  PMID: 39771707

Abstract

An important technical task is to develop methods for recording the phase transitions of water to ice. At present, many sensors based on various types of acoustic waves are suggested for solving this challenge. This paper focuses on the theoretical and experimental study of the effect of water-to-ice phase transition on the properties of Lamb and quasi shear horizontal (QSH) acoustic waves of a higher order propagating in different directions in piezoelectric plates with strong anisotropy. Y-cut LiNbO3, 128Y-cut LiNbO3, and 36Y-cut LiTaO3 plates with a thickness of 500 μm and 350 μm were used as piezoelectric substrates. It was shown that the amplitude of the waves under study can decrease, increase, or remain relatively stable due to the water-to-ice phase transition, depending on the propagation direction and mode order. The greatest decrease in amplitude (42.1 dB) due to glaciation occurred for Lamb waves with a frequency of 40.53 MHz and propagating in the YX+30° LiNbO3 plate. The smallest change in the amplitude (0.9 dB) due to glaciation was observed for QSH waves at 56.5 MHz propagating in the YX+60° LiNbO3 plate. Additionally, it was also found that, in the YX+30° LiNbO3 plate, the water-to-ice transition results in the complete absorption of all acoustic waves within the specified frequency range (10–60 MHz), with the exception of one. The phase velocities, electromechanical coupling coefficients, elastic polarizations, and attenuation of the waves under study were calculated. The structures “air–piezoelectric plate–air”, “air–piezoelectric plate–liquid”, and “air–piezoelectric plate–ice” were considered. The results obtained can be used to develop methods for detecting ice formation and measuring its parameters.

Keywords: plate acoustic wave, piezoelectric plates, water-to-ice phase transition, wave anisotropy, wave attenuation

1. Introduction

The transition of water from liquid to solid states when the temperature drops below zero degrees Celsius is a first-order phase transition [1]. These transitions are accompanied by the release of latent heat. The effects of lowering the temperature of water on its structure and the structure of the formed ice have been actively studied theoretically using molecular dynamics simulations [2,3,4], Gibbs free-energy calculations [5], transition potential approaches [6], and first-principles calculations [7]. The fundamental properties of matter during this transition have also been investigated experimentally. The properties of water in critical and supercritical conditions have been determined [8,9,10,11,12]. Recently, an analysis of the thermodynamic process during liquid freezing has been carried out [13]. The effects of impurities on the liquid-to-ice transition have been investigated [14,15,16,17]. Currently, research on the water–ice transition in porous materials [18,19], food [20,21], and biological tissues [22] is ongoing. In all these studies, a variety of experimental techniques were employed, including Raman spectroscopy [14,17], X-ray analysis [11,22], and scanning calorimetry [12], among others. Each of these techniques has contributed to the understanding of this important physical phenomenon.

It should be noted that the issue of controlling such transitions is important not only from a fundamental, but also from a practical point of view. Ice formation is a dangerous process in the operation of highways, airplanes, ships, etc. [23]. This process can lead to the incorrect functioning of wind turbines [24] or aircraft wings [25,26]. Additionally, an important aspect is the control of the freezing process of food or biological tissues [27].

In recent years, icing sensors have been developed using several different physical principles. These principles include optical [28], resistance [29], admittance [30], capacitive [31], electro-optical [32], fiber-optic [33], radio frequency [34], and ultrasonic [25,26,27,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53] methods. The acoustic sensors are of great interest and can be based on various types of acoustic waves. For example, bulk acoustic waves (BAW) [25,26,27,35,45], surface acoustic waves (SAW) [36,37,38,41,42,46,47,52,53], Love waves [40,43,48], and waves in plates [39,44,49]. It has been shown that the use of ultrasonic methods makes it possible to determine ice thickness [35], ice roughness [26], ice type [50], and the presence of a water film on ice surfaces [51].

Previously, it has been shown that the sensitivity to water-to-ice phase transition of higher-order Lamb and QSH waves propagating in some definite propagation directions in various piezoelectric plates (YZ-LiNbO3, YZ+90°-LiNbO3, ST,X-quartz, ST,X+90°-quartz, 36°YX-LiTaO3, or 36°YX+90°-LiTaO3) can increase or decrease, depending on the wave order, wavelength, and normalized plate thickness h/λ (h—thickness, λ—wavelength) [44]. As is known, the properties of acoustic waves (phase and group velocities, attenuation, electromechanical coupling coefficient, etc.) strongly depend on the direction of their propagation, i.e., on the anisotropy of the material. Therefore, the response of these waves to surface loading will also depend on the anisotropy of the material. It has recently been shown that, due to the anisotropy of higher-order Lamb waves in piezoelectric plates, it is possible to identify various liquids without the need for sensor films [54,55,56]. It was assumed that the anisotropy of these waves would also lead to their different reactions to the process of glaciation occurring on the surface of the piezoelectric plate. It should be noted that no such studies have been carried out before.

The aim of this work is the theoretical and experimental study of the effect of water–ice phase transitions on the properties of higher-order Lamb and QSH waves propagating in various directions through anisotropic piezoelectric plates.

2. Materials and Methods

2.1. Theoretical Method

For theoretical analysis, three structures “air–piezoelectric plate–air” (a), “air–piezoelectric plate–distilled water” (b), and “air–piezoelectric plate–ice”(c) were considered (Figure 1). For all structures, the acoustic wave propagation was taken along the x1 direction. The piezoelectric plate was bounded by the planes x3 = 0 and x3 = h. The regions with x3 > h corresponded to air (Figure 1a), distilled water (Figure 1b), or ice (Figure 1c), and the region with x3 < 0 always corresponded to air. The problem considered is two-dimensional, so all field components were assumed to be constant in the x2 direction [57].

Figure 1.

Figure 1

The geometry of the structures considered theoretically: (a) “air–piezoelectric plate–air”, (b) “air–piezoelectric plate–distilled water”, and (c) “air–piezoelectric plate–ice”.

The phase velocity, attenuation, and mechanical displacements of the acoustic waves could be found by using a system of appropriate equations for each medium contacted.

For the description of acoustic waves propagating in a piezoelectric plate, the motion Equation (1), Laplace’s Equation (2), and constitutive Equations (3) and (4) were used:

ρpz2Uipz/t2=Tijpz/xj, (1)
Djpz/xj=0, (2)
Tijpz=CijklpzUlpz/xk+ekijpzΦpz/xk, (3)
Djpz=εjkpzΦpz/xk+ejlkpzUlpz/xk, (4)

For the description of acoustic waves propagating in nonpiezoelectric isotropic ice, the corresponding motion Equation (5), Laplace’s Equation (6), and constitutive Equations (7) and (8) were written:

ρice2Uiice/t2=Tijice/xj, (5)
Djice/xj=0, (6)
Tijice=CijkliceUlice/xk, (7)
Djice=εjkiceΦice/xk. (8)

Let us consider liquid as an isotropic solid media [58]. In this case, the motion Equation (9), Laplace’s Equation (10), and constitutive Equations (11) and (12) were written together:

ρlq2Uilq/t2=Tijlq/xj, (9)
Djlq/xj=0, (10)
Tijlq=CijkllqUllq/xk, (11)
Djlq=εjklqΦlq/xk. (12)

Here, Ui, t, Tij, xj, Dj, Φ, and ρ are the components of mechanical displacement of particles, time, components of mechanical stress, coordinates, components of electrical displacement, electrical potential, and density, respectively. Cijkl, eikl, and εjk are the elastic, piezoelectric, and dielectric constants, respectively. The indexes pz, ice, and lq correspond to the piezoelectric film, ice, and non-viscous, non-conductive water (H2O), respectively.

In the regions of air, the electrical displacement is satisfied to Laplace’s equation:

Djair/xj=0, (13)

where Djair=ε0Φair/xk. Here, ε0 is the air permittivity and the index air indicates that the variable refers to air.

In solving this problem, the quasi-static approximation condition for each medium was used:

Ej=Φpz,ice,lq,air/xj. (14)

Here, Ej is a component of the electric field strength vector.

The solution was sought in the form of plane inhomogeneous waves propagating along the x1-axis with an unknown distribution of amplitudes along the x3-axis in each contacting media [58].

Yjx1,x3,t~eiωteiωx1/Veωζx3/V. (15)

Here, V, ω, and ζ are the phase velocity, the circular frequency of the acoustic wave, and its eigenvalue, respectively. Yj are normalized variables with dimension N/m2 corresponding to the components of mechanical displacement (U1, U2, U3), normal components of mechanical stress (T13, T23, T33), the electrical potential (Φ), and the normal component of electrical induction (D3) for each of the contacting media. Normalization for all media was performed using the material parameters of a piezoelectric material.

Y1pz=ωVC1111pzU1pz; Y2pz=ωVC1111pzU2pz; Y3pz=ωVC1111pzU3pz;Y4pz=T13pz; Y5pz=T23pz; Y6pz=T33pz (16)
Y7pz=ωVepzΦpz; Y8pz=epzε11pzD3pz (17)
Y1ice=ωVC1111pzU1ice; Y2ice=ωVC1111pzU2ice; Y3ice=ωVC1111pzU3ice;Y4ice=T13ice; Y5ice=T23ice; Y6ice=T33ice (18)
Y7ice=ωVepzΦice; Y8ice=epzε11pzD3ice (19)
Y1lq=ωVC1111pzU1ice; Y2lq=ωVC1111pzU2lq; Y3lq=ωVC1111pzU3lq;Y4lq=T13lq; Y5lq=T23lq; Y6lq=T33lq (20)
Y7lq=ωVepzΦlq; Y8lq=epzε11pzD3lq (21)
Y1air=ωVepzΦair; Y2air=epzε11pzD3air. (22)

Here, epz = 1 C/m2.

Expression (15) was substituted into Equations (1)–(14). At the same time, the variables T11, T22, T12, D1, and D2 were excluded from consideration for each medium, as they were not differentiated with respect to the x3 coordinate in Equations (1)–(14).

As a result, the systems of ordinary differential linear equations were obtained for each contacting media. For piezoelectric plates, ice, water and air, the numbers of these equations were 8, 8, 8, and 2, respectively. These systems further were re-written as:

dYjpz/dx3=CpzYjpz (23)
dYjice/dx3=CiceYjice (24)
dYjlq/dx3=ClqYjlq (25)
dYjair/dx3=CairYjair (26)

The matrices Cpz, Cice, Clq, and Cair have dimensions of 8 × 8, 8 × 8, 8 × 8, and 2 × 2, respectively. The eigenvalues (ζk) and the components of the eigenvectors (Yjk) of these matrices were obtained as the results of calculations.

The common solution for each medium was written as:

Yjpz=k=18AkpzYjkpzeζjpzx3eiw(tx1/V) (27)
Yjice=k=18AkiceYjkiceeζjicex3eiw(tx1/V) (28)
Yjlq=k=18AklqYjklqeζjlqx3eiw(tx1/V) (29)
Yjair=k=12AkairYjkaireζjairx3eiw(tx1/V) (30)

The weight coefficients Akpz, Akice,Aklq, and Akair as well phase velocity V are unknown values. To find them it is necessary to use the appropriate boundary conditions.

It should be noted that, in the case of plate contact with a half-infinite medium (ice, water, or air), it is necessary to make a choice of eigenvalues corresponding to the physical conditions of the problem. In all cases, the eigenvalues corresponding to the decrease in the electrical variables deep into the half-infinite medium were chosen. As for the mechanical variables, the eigenvalues corresponding to their increase deep into the half-infinite medium were selected. This choice was due to the need to take into account the radiation of acoustic wave energy deep into the contacting medium [58].

The electrical and mechanical conditions at boundaries x3 = 0 and x3 = h of each structure considered were used as follows [57,58]:

x3=0: Ti3pz=0;Φpz=Φair;D3pz=D3air, (31)
x3=h (contact with air): Ti3pzeζpzh=0;Φpzeζpzh=Φaireζairh;D3pzeζpzh=D3aireζairh, (32)
x3=h (contact with H2O): U3pzeζpzh=U3lqeζH2Oh;T33pzeζpzh=T33H2Oeζlqh;T13pzeζpzh=T23pzeζpzh=0; (33)
Φpzeζpzh=ΦH2Oeζlqh;D3pzeζpzh=D3lqeζlqh
x3=h (contact with ice): Uipzeζpzh=Uiiceeζiceh;Ti3pzeζpzh=Ti3iceeζiceh;Φpzeζpzh=Φiceeζiceh;D3pzeζpzh=D3iceeζiceh. (34)

Here, i = 1–3 and h is the thickness of a piezoelectric plate.

The matrix Dapa of the boundary conditions for the structure “air–piezoelectric plate–air” (Figure 1a) with a dimension of 10 × 10 was obtained by using Equations (31) and (32).

air piezoelectric plate air
x3 = 0 0 Y41pz Y42pz Y43pz Y44pz Y45pz Y46pz Y47pz Y48pz 0
0 Y51pz Y52pz Y53pz Y54pz Y55pz Y56pz Y57pz Y58pz 0
0 Y61pz Y62pz Y63pz Y64pz Y65pz Y66pz Y67pz Y68pz 0
Y11air Y71pz Y72pz Y73pz Y74pz Y75pz Y76pz Y77pz Y78pz 0
Dapa = Y21air Y81pz Y82pz Y83pz Y84pz Y85pz Y86pz Y87pz Y88pz 0
x3 = h 0 Y41pzeζ1pzh Y42pzeζ2pzh Y43pzeζ3pzh Y44pzeζ4pzh Y45pzeζ5pzh Y46pzeζ6pzh Y47pzeζ7pzh Y48pzeζ8pzh 0
0 Y51pzeζ1pzh Y52pzeζ2pzh Y53pzeζ3pzh Y54pzeζ4pzh Y55pzeζ5pzh Y56pzeζ6pzh Y57pzeζ7pzh Y58pzeζ8pzh 0
0 Y61pzeζ1pzh Y62pzeζ2pzh Y63pzeζ3pzh Y64pzeζ4pzh Y65pzeζ5pzh Y66pzeζ6pzh Y7pzeζ7pzh Y68pzeζ8pzh 0
0 Y71pzeζ1pzh Y72pzeζ2pzh Y73pzeζ3pzh Y74pzeζ4pzh Y75pzeζ5pzh Y76pzeζ6pzh Y77pzeζ7pzh Y78pzeζ8pzh Y11aireζ1airh
0 Y81pzeζ1pzh Y82pzeζ2pzh Y83pzeζ3pzh Y84pzeζ4pzh Y85pzeζ5pzh Y86pzeζ6pzh Y87pzeζ7pzh Y88pzeζ8pzh Y21aireζ1airh

The matrix Dapl of the boundary conditions for the structure “air–piezoelectric plate–distilled water” (Figure 1b) with dimension of 11 × 11 was obtained by using Equations (31) and (33).

air piezoelectric plate half-infinite H2O
x3 = 0 0 Y41pz Y48pz 0 0
0 Y51pz Y58pz 0 0
0 Y61pz Y68pz 0 0
Y11air Y71pz Y78pz 0 0
Y21air Y81pz Y88pz 0 0
Dapl = 0 Y31pzeζ1pzh Y38pzeζ8pzh Y31lqeζ1lqh 0
x3 = h 0 Y41pzeζ1pzh Y48pzeζ8pzh 0 0
0 Y51pzeζ1pzh Y58pzeζ8pzh 0 0
0 Y61pzeζ1pzh Y68pzeζ8pzh Y61lqeζ1lqh 0
0 Y71pzeζ1pzh Y78pzeζ8pzh 0 Y71lqeζ1lqh
0 Y81pzeζ1pzh Y88pzeζ8pzh 0 Y81lqeζ1lqh

The matrix Dapi of the boundary conditions for the structure “air–piezoelectric plate–ice” (Figure 1c) with dimension of 13 × 13 was obtained by using Equations (31) and (34).

air piezoelectric plate half-infinite ice
x3 = 0 0 Y41pz Y48pz 0 0 0 0
0 Y51pz Y58pz 0 0 0 0
0 Y61pz Y68pz 0 0 0 0
Y11air Y71pz Y78pz 0 0 0 0
Y21air Y81pz Y88pz 0 0 0 0
Dapi = 0 Y11pzeζ1pzh Y18pzeζ8pzh Y11iceeζ1iceh Y12iceeζ2iceh Y13iceeζ3iceh 0
x3 = h 0 Y11pzeζ1pzh Y28pzeζ8pzh Y21iceeζ1iceh Y22iceeζ2iceh Y23iceeζ3iceh 0
0 Y31pzeζ1pzh Y38pzeζ8pzh Y31iceeζ1iceh Y32iceeζ2iceh Y33iceeζ3iceh 0
0 Y41pzeζ1pzh Y48pzeζ8pzh Y41iceeζ1iceh Y42iceeζ2iceh Y43iceeζ3iceh 0
0 Y51pzeζ1pzh Y58pzeζ8pzh Y51iceeζ1iceh Y52iceeζ2iceh Y53iceeζ3iceh 0
0 Y61pzeζ1pzh Y68pzeζ8pzh Y61iceeζ1iceh Y62iceeζ2iceh Y63iceeζ3iceh 0
0 Y71pzeζ1pzh Y78pzeζ8pzh 0 0 0 Y71iceeζ1iceh
0 Y81pzeζ1pzh Y88pzeζ8pzh 0 0 0 Y81iceeζ1iceh

The phase velocity V of the acoustic wave is a parameter of the recorded matrices of boundary conditions [Dapa], [Dapl], or [Dapi]. The values of phase velocity corresponding to each boundary task (Figure 1) were determined using an iterative search procedure based on zeroing the determinant of the matrices [Dapa], [Dapl], or [Dapi], respectively [56]. After that, the weight coefficients Akpz, Akair, Akice, or Aklq were calculated by using the corresponding boundary condition matrix. Then, three partial components of mechanical displacement (U1, U2, U3) in the plane x3 = h were defined by using Equation (27).

The material constants for LiNbO3, LiTaO3, water at T = 20 °C, and ice at T = −15 °C were taken from [59,60,61,62]. All material constants used in calculation are presented in Table 1.

Table 1.

Density ρ (kg/m3), elastic constants Cij (GPa), piezoelectric coefficients eij (C/m2), and dielectric permittivity εij/ε0 of LiNbO3, LiTaO3, ice, and nonviscous, nonconducting distilled water used in calculations.

LiNbO 3
C11E C12E C13E C14E C33E C44E C66E
203 57.3 75.2 8.5104 242.4 59.5 72.8
e 15 e 16 e 31 e 33 ε11/ε0 ε33/ε0 ρ
3.84 −2.37 0.23 1.3 44.305 27.9 4650
LiTaO 3
C11E C12E C13E C14E C33E C44E C66E
232.8 46.5 83.6 −10.5 275.9 94.9 93.15
e 15 e 16 e 31 e 33 ε11/ε0 ε33/ε0 ρ
2.64 −1.68 −0.22 1.71 40.904 42.5 7454
Ice (at T = −15 °C)
C11E C33E C12E C13E C44E ε11/ε0 ρ
13.9 14.94 6.749 5.701 2.917 3.26 900
H2O (atT =20 °C): ρ=997.299; C11E = 2.25; ε11/ε0 = 80

It should be noted that the effect of low temperature (−15 °C) on the properties of the piezoelectric plate was taken into account by using the procedure described in [63]. As a result, it was found that at this temperature, the velocity of the acoustic waves increase insignificantly by 0.5–1% and the attenuation remains practically unchanged. Therefore, the results obtained without considering the influence of temperature on the material constants of the piezoelectric plates were used in this study.

The attenuation of acoustic waves (Γ and dB/λ, where λ is the wavelength) propagating in piezoelectric plates contacting with half-space ice or liquid is attributed with radiation losses of acoustic energy deep into these media. The value of such attenuation was calculated as:

Γ=54.51×Vim/Vre, (35)

where Vim and Vre are the image and real parts of the phase velocity, respectively.

In accordance with the experimental data, calculations were carried out for higher-order Lamb and QSH acoustic waves in the 128YX+Θ LiNbO3 plate (h/λ = 2.5), YX+Θ LiNbO3 plate (h/λ = 2.5), and 36YX+Θ LiTaO3 plate (h/λ = 1.75) at frequencies ranging from 20 to 60 MHz and propagation angles of Θ = 0°, 30°, 60°, and 90° to the X-axis.

As a result of the calculations, the electromechanical coupling coefficient (k2,%) [64] of the considered waves and their mechanical displacements on the surface of the piezoelectric plate (x3 = h), normalized by the longitudinal component U1, were also determined.

k2 = 200 × (VVm)/V, (36)

where Vm is the phase velocity of the acoustic wave in a plate metalized from one side.

The identification of the wave was based on the similarity between the calculated and measured values of its frequency.

2.2. Fabrication of Devices with Anisotropic Propagation of Acoustic Waves

Three samples of experimental devices were created using the plates 128Y-cut LiNbO3, Y-cut LiNbO3 (h = 500 μm), and 36Y-cut LiTaO3 (h = 350 μm). The piezoelectric plates were purchased at CQT (Hangzhou, China). On the polished face of each wafer, four delay lines were positioned in a circular arrangement at angles of 0°, 30°, 60°, and 90° to the X-axis. These angles were selected based on the maximum anisotropy of this crystallographic orientation, as reported in [64,65].

The delay lines on the surface of the experimental devices were produced by using the photolithography procedure described in detail in [56].

Figure 2 shows a schematic image (a) and a photograph (b) of an experimental setup with a set of acoustic delay lines (or channels) on a single piezoelectric crystal. During the experiments, only the first ring of the delay lines (closest to the cell) was used (Figure 2).

Figure 2.

Figure 2

(a) Schematic view and (b) photo of an experimental sample with a set of acoustic delay lines (or channels) on a single piezoelectric wafer. The acoustic channels are oriented at angles Θ = 0°, 30°, 60°, and 90° with respect to the crystallographic X-axis. 1—piezoelectric plate, 2—IDT, 3—the cell with a diameter of 18 mm.

The input and output interdigital transducers (IDTs) used had a period of λ = 200 μm and the same topology. In the center of a wafer, a cell with diameter of 18 mm was glued. The analyzed substance was placed into this cell during the experiments.

It should be noted that, due to the anisotropy of piezoelectric plates, the energy flows of most waves traveling in directions with low symmetry (Θ = 30° and 60°) do not align with the propagation direction [65]. However, the magnitude of the deflection angles of the energy flows was small (<5°), which made it possible to detect the excited waves using output IDTs placed on the opposite side of a cell.

2.3. Measurement Technique

The measurements of the insertion loss (S12) of each delay line were taken in the frequency range of f = 3–60 MHz under an atmospheric pressure of p = 746 mm Hg and at temperatures T = +20 °C and −15 °C. The S12 versus frequency f was measured using a network analyzer E5061B (Keysight, SantaRosa, CA, USA) with an accuracy of less than ±0.1 dB. It operated in the amplitude–frequency format S12(f). To measure S12 at different temperatures, the experimental sample was placed into a climatic chamber UC-20CE (Terchy, Nantou, Taiwan). This chamber was operated in the temperature range of T = −60 °C to +50 °C. The experimental setup is shown in Figure 3.

Figure 3.

Figure 3

The experimental setup and sample used.

Initially, the frequency dependence of S12air  was measured for a piezoelectric plate without loading at a temperature of T = 20 °C. After that, distilled water was placed in the cell and measurements of the frequency dependence of S12lq  were repeated at a temperature of T = 20 °C. At this point, the viscosity of the liquid η was 1.03 cP, and its conductivity σ was below 0.001 S/m. Then, the temperature was dropped to −15 °C, while the liquid turned into ice, and the signal started to change. After the signal stabilized, measurements of the frequency dependence of S12ice were repeated with the ice present. The acoustic response to the phase transition of matter from one state to another was represented by the value S12(dB)=|S12ice||S12lq|. This parameter is used to compare the effect of the phase transition on Lamb and QSH waves with different propagation directions in various materials. Due to the low penetration depth of the acoustic fields into liquid (0.1 μm) compared to its thickness (>1 mm), the shape and thickness of the test sample had no significant effect on the measurement results. In our experiments, liquid samples with a volume of 500 μL were used.

3. Results and Discussion

3.1. Experimental Results

The experimental study of the influence of the water-to-ice phase transition on the properties of Lamb and QSH acoustic waves of different orders (or numbers n), depending on their propagation direction, were carried out using the experimental samples (Figure 2) and experimental setup (Figure 3). The acoustic waves under study experienced different levels of acoustic absorption depending on the propagation direction. This is because in an anisotropic plate the sensitivity of each wave to the physical parameters of the liquid or ice is different.

Experiments have shown that the transition from water to ice is accompanied by an increase in insertional losses S12 and a positive response value S12icelq. The value S12icelq depends on the propagation direction, wave frequency, thickness, and material of a plate. Figure 4 shows the typical frequency dependence of the insertion loss S12 (a) and responses S12icelq (b) measured in a 36°YX+Θ LiTaO3 plate with a thickness of h = 500 μm, λ = 200 μm, h/λ = 2.5, and Θ = 0° in the absence of a load (+20 °C, black line), in the presence of distilled water (+20 °C, red line), and in the presence of ice (−15 °C, blue line) in a cell. In Figure 4, the arrows indicate the waves with the maximum values of S12icelq: f = 36.69 MHz, S12icelq = 27.2 dB (1), f = 56.69 MHz, and S12icelq = 29.3 dB (2).

Figure 4.

Figure 4

The frequency dependences of (a) the insertion losses S12 and (b) the responses S12icelq, measured in a 36°YX+Θ LiTaO3 plate at h/λ = 2.5, Θ = 0° in the absence of a load (+20 °C, black line), with distilled water (+20 °C, red line), and with ice (−15 °C, blue line) in the cell. Waves with the highest values of S12icelq: f = 36.69 MHz, S12icelq = 27.2 dB (1), f = 56.69 MHz, and S12icelq = 29.3 dB (2).

An analysis of the experimental data revealed that the maximum values of the S12icelq in different piezoelectric plates and acoustic channels varied widely (14–42 dB). The minimum values of S12icelq lie in the range of 0.87–3 dB. This means that in each plate, depending on its crystallographic orientation, there are both acoustic waves with a high sensitivity to the phase transitions and waves that are almost insensitive to them.

The maximum values of S12icelq experimentally measured for acoustic waves in the 128YX+Θ LiNbO3 (h/λ = 2.5), YX+Θ LiNbO3 (h/λ = 2.5), and 36YX+Θ LiTaO3 (h/λ = 1.75) plates, in the frequency range of 20–60 MHz, for propagation direction angles Θ = 0°, 30°, 60°, 90°, as well as their corresponding operating frequencies, are shown in Table 2.

Table 2.

Experimentally obtained maximum responses S12icelq for the water-to-ice phase transition in acoustic waves in the YX+Θ LiNbO3, 128Y X+Θ LiNbO3, and 36Y X+Θ LiTaO3 piezoelectric plates at different propagation directions and the corresponding operating frequencies.

YX+Θ LiNbO3 plate, h = 350 μm, λ = 200 μm, h/λ = 1.75
Θ = 0° Θ = 30° Θ = 60° Θ = 90°
f, MHz S12icelq, dB f, MHz S12icelq dB f, MHz S12icelq, dB f, MHz S12icelq, dB
42.1 31.9 36.8 36.2 21.59 28.3 25.38 32.2
45.6 31.8 40.53 42.1 36.34 37.5 34.28 26.5
48.1 28.7 45.56 34.9 40.25 38.6 44.34 28.2
128YX+Θ LiNbO3 plate, h = 500 μm, λ = 200 μm, h/λ = 2.5
f, MHz S12icelq, dB f, MHz S12icelq dB f, MHz S12icelq, dB f, MHz S12icelq, dB
26.5 23.6 24.66 23.9 33.25 27.6 29.1 14.4
46.22 21.4 34.78 26 35.08 28.5 38.06 18.8
50.16 22 38.06 26 37.84 30.6 41.5 20.6
36YX+Θ LiTaO3 plate, h = 500 μm, λ = 200 μm, h/λ = 2.5
f, MHz S12icelq, dB f, MHz S12icelq dB f, MHz S12icelq, dB f, MHz S12icelq, dB
38.69 27.2 43.78 28.25 21.25 24.5 41.25 25.8
41.59 25.5 52.72 29.4 44.13 24.3 43.16 25.1
56.28 29.3 58.69 27.1 52.66 27.7 48.69 27.1

In addition, unusual combinations of the plate material, plate thickness, and propagation direction were experimentally detected (Figure 5). For these combinations, the formation of ice led to the complete absorption of all waves excluding one (Figure 5a, f = 36.8 MHz) wave.

Figure 5.

Figure 5

The frequency dependences of (a) the insertion losses S12 and (b) the responses S12icelq, measured in a YX+30° LiNbO3 plate with h/λ = 1.75. Wave (1) has f = 36.8 MHz {1; 3; 0.7}, and S12icelq = 36.2 dB. Wave (2) has f = 40.53 MHz {1, 0, 0.3}, and S12icelq = 42.1 dB.

It should be noted that the elastic polarizations of the acoustic waves depend on the direction of propagation (angle Θ), the plate thickness h/λ, and the wave number n. At fixed Θ, h/λ, and n the polarizations include the entire spectrum of known Lamb and QSH waves; namely, oscillations along an elliptical path, in which the longitudinal, horizontal shear, and vertical displacements are approximately equal (U1~U2~U3); horizontal shear oscillations (U2 >> U1, U3); quasi-longitudinal oscillations (U1 >> U2, U3), as well as oscillations along an ellipse parallel to the surfaces of the plate (U1~U2, U3 ≈ 0); and an ellipse perpendicular to both the surfaces of the plate and the direction of propagation (U2~U3, U1 ≈ 0). It is clear that the physical causes of the observed anomaly are attributed to the anisotropy of the plates, the properties of the acoustic waves, and the characteristics of the load. In order to better understand the behavior of these waves in both unloaded and loaded plates, a theoretical analysis was carried out.

3.2. Theoretical Results

As a result of solving the system of Equations (1)–(4), (13), and (14), taking into account the boundary conditions (31) and (32), the values of the phase velocities (Vairth) of the acoustic waves, their electromechanical coupling coefficients (k2), and polarization (U1, U2, U3) in the frequency range of interest, for propagation angles Θ = 0°, 30°, 60°, 90° in the 128YX+Θ LiNbO3 (h/λ = 2.5), YX+Θ LiNbO3 (h/λ = 2.5), and 36YX+Θ LiTaO3 (h/λ = 1.75) plates, were calculated. The results obtained were used to identify piezoactive Lamb and QSH acoustic waves that can be excited under these conditions.

Further, by using the system of Equations (1)–(4) and (9)–(14), and taking into account the boundary conditions (31) and (33), the problem of the propagation of acoustic waves in the structure “air–piezoelectric plate–semi-infinite water” was solved. The initial wave velocities in the calculations were based on the results obtained for plates without a load. As a result, the phase velocity (Vlqth) and the attenuation (Γlqth) of acoustic waves in such structures, as well their polarization in the plane x3 = h, were obtained.

At the next stage, the problem of acoustic wave propagation in the structure “air–piezoelectric plate–semi-infinite ice” was solved. For this purpose, the system of Equations (1)–(8), (13), and (14) was used, taking into account the boundary conditions (31) and (34). As a result, the values of the phase velocities of the acoustic waves (Viceth) and their attenuation (Γiceth) and polarization in the x3 = h plane were also obtained.

The calculated values of the phase velocities, electromechanical coupling coefficients, polarizations, and maximum attenuation responses to glaciation for the experimentally determined frequencies of the acoustic waves are shown in Table 3, Table 4 and Table 5. It should be noted that the theoretically calculated acoustic wave frequencies differ from the experimentally measured ones (Table 2) by 1–2 MHz. This discrepancy is due to the difference between the values of material constants for solid media obtained from the literature and those used in the experiment with actual materials.

Table 3.

The theoretically obtained parameters of acoustic waves in the structures “air–YX+Θ-LiNbO3 plate with h/λ = 1.75–air”, “air–YX+Θ-LiNbO3 plate with h/λ = 1.75–water”, and “air–YX+Θ-LiNbO3 plate with h/λ = 1.75–ice”.

fth, MHz Vairth, km/s k2, % U1; U2; U3 Vlqth, km/s Viceth, km/s ΔΓicelqth, dB
Θ = 0°
40.8 14.288 3.9 1; 12; 1 14.260 14.286 24.8
42.7 14.954 0.05 1; 0.1; 2 14.954 14.969 26.0
44.1 15.425 5.6 1; 0; 0.2 15.399 15.424 26.6
47.5 16.641 2.4 1; 15; 2.4 16.622 16.639 21.5
Θ = 30°
36.5 12.753 4.6 1; 3; 0.7 12.722 12.751 27.8
40.5 14.201 3.6 1; 0; 0.3 14.181 14.199 29.4
44.2 15.458 5.1 1; 0.2; 0.1 15.431 15.456 26.8
Θ = 60°
21.5 7.517 2.0 1; 0.1; 0.4 7.474 7.512 50.2
36.9 12.932 1.5 1; 0.4; 0.4 12.922 12.931 31.6
40.4 14.138 1.8 1; 0.7; 0.1 14.127 14.137 28.4
Θ = 90°
26.4 9.251 1.4 1; 0; 0.7 9.234 9.249 42.5
33.5 11.732 1.6 1; 0; 0.6 11.718 11.731 34.6
44.6 15.633 7.2 1; 0; 0.4 15.597 15.630 26

Table 4.

The theoretically obtained parameters of acoustic waves in the structure “air–128YX+Θ LiNbO3 plate with h/λ = 2.5–air”, “air–128YX+Θ LiNbO3 plate with h/λ = 2.5–water”, “air–128YX+Θ LiNbO3 plate with h/λ = 2.5–ice”.

fth, MHz Vairth, km/s k2, % U1; U2; U3 Vlqth, km/s Viceth, km/s ΔΓicelqth, dB
Θ = 0°
26.3 13.140 1.3 1; 0.1; 0.3 13.129 13.139 19.3
47.4 23.747 2.3 1; 0; 0.3 23.736 23.746 11.2
50.3 25.164 4.4 1; 0; 0.1 25.142 25.163 10.1
Θ = 30°
25.2 12.619 2.9 1; 0.7; 1 12.594 12.618 17.5
34.0 17.001 3.6 1; 0.5; 0.3 16.980 17.001 15.0
37.4 18.711 2.0 1; 2.8; 5.1 18.697 18.711 13.3
Θ = 60°
33.4 16.703 1.5 1; 0.6; 0.2 16.697 16.703 16.7
34.2 17.093 0.8 1; 0.9; 2.6 17.088 17.092 15.2
37.1 18.537 0.9 1; 5.5; 7.4 18.531 18.536 14.1
Θ = 90°
29.4 14.702 1.0 1; 0; 1.4 14.694 14.701 17.4
37.2 18.568 1.1 1; 0; 1.8 18.560 18.567 14.3
41.2 20.597 0.4 1; 0; 0.2 20.595 20.597 13.6

Table 5.

The theoretically obtained parameters of acoustic waves in the structures “air–36YX+Θ LiTaO3 plate with h/λ = 2.5–air”, “air–36YX+Θ LiTaO3 plate with h/λ = 2.5–water”, “air–36YX+Θ LiTaO3 plate with h/λ = 2.5–ice”.

fth, MHz Vairth, km/s k2, % U1; U2; U3 Vlqth, km/s Viceth, km/s ΔΓicelqth, dB
Θ = 0°
39.1 19.555 1.3 1; 0.1; 1.6 19.550 19.555 8.9
41.4 20.719 2.1 1; 2.6; 40 20.713 20.719 8.6
56.4 28.222 2.2 1; 1.4; 5.3 28.217 28.221 6.4
Θ = 30°
34.0 17.001 3.6 1; 0.5; 0.3 16.980 17.001 7.9
37.4 18.711 2.0 1; 2.8; 5.1 18.697 18.711 7.0
43.8 21.901 0.9 1; 0.2; 1 21.899 21.901 7.9
Θ = 60°
21.3 10.627 0.2 1; 0.8; 0.4 10.626 10.626 16.4
44.3 22.145 2.0 1; 0.6; 2.5 22.138 22.144 7.9
51.6 25.818 2.1 1; 0.5; 4.8 25.812 25.817 6.9
Θ = 90°
41.7 20.871 1.7 1; 0; 2.6 20.865 20.871 8.3
42.4 21.210 0.9 1; 0; 0.4 21.207 21.210 8.1
47.6 23.800 0.6 1; 0; 0.2 23.798 23.800 7.1

The analysis of the numerical results revealed that the phase velocity of acoustic waves does not significantly change in the presence of liquid or ice. Moreover, the polarization of the waves under study remains unchanged in the presence of the load. This can be attributed to the low acoustic impedance of water and ice in comparison to piezoelectric materials. It should be noted that the attenuation of acoustic waves occurs in the presence of a load, due to the radiation losses of acoustic energy during wave propagation. These losses are generally greater for ice than for water, which is consistent with the experimental data [44]. Additionally, the analysis showed that the value of attenuation theoretically calculated is lower than the experimentally measured ones (Table 2). This is because the theoretical analysis does not take into account the losses in IDT for converting an electrical signal into an acoustic signal and vice versa. It also does not consider losses due to the scattering of acoustic waves on ice defects.

It was also found that the change in attenuation due to the water-to-ice phase transition depends on the material of the plate. For example, for lithium tantalate, the magnitude of these changes is smaller than for lithium niobate. This is because although these two materials belong to the same crystallographic class and have a similar type of anisotropy, their densities differ by almost twice. This increases the impedance difference between the plate and loading.

The analysis also showed that the waves with a large U2 component have less sensitivity to phase transitions than waves with the largest U1 or U3 components. For example, the waves in a YX+30° LiNbO3 plate at f = 40.53 MHz {1, 0, 0.3} with S12icelq = 42.1 dB and in a YX+60° LiNbO3 plate at f = 56.5 MHz {1, 3.2, 0.8} with S12icelq = 0.87 dB are the most and least sensitive to the phase transition, respectively.

Therefore, when designing devices for detecting the water-to-ice phase transition, it may be advisable to use the acoustic waves with the maximum components of U1 and U3.

4. Conclusions

This theoretical and experimental study of the effect of water-to-ice phase transitions on the properties of higher-order Lamb and QSH waves propagating in various directions through anisotropic piezoelectric plates has shown that the effect of the anisotropy of Lamb and QSH waves on the detection of the liquid-to-ice phase transition is evident in their different absorptions during propagation in various directions. The theoretical calculations and experiments have shown that the transition from water to ice is accompanied by an increase in insertional losses S12 and a positive response value S12icelq. The experimental absorption response values of S12icelq range from 0.87 dB to 42.1 dB, depending on the propagation direction, wave type, wave thickness, and the material of the plate. This means that in each plate depending on its crystallographic orientation there are both acoustic waves with a high sensitivity to the phase transitions and waves that are almost insensitive to them.

During the experiments, an interesting result was obtained. It was found that in a YX+30° LiNbO3 plate with h/λ = 1.75, the formation of ice led to the complete absorption of all waves excluding one. The theoretical analysis showed that this wave has quasi-shear horizontal polarization and does not completely attenuate due to glaciation.

In conclusion, the use of materials with higher anisotropy in their acoustic properties can lead to the development of more sensitive sensors for the detection and analysis of liquid–solid phase transitions.

Acoustic waves with a high sensitivity to liquid–solid phase transition can be used to create glaciation sensors, and weakly sensitive waves can be useful for other sensors operating under conditions of a change in the aggregate state of the analyzed substance.

Author Contributions

Conceptualization, I.K. and V.A.; methodology, A.S.; validation, V.A. and N.A.; investigation, V.A., E.D. and N.A.; writing—original draft preparation, I.K. and V.A.; writing—review and editing, I.K. and V.A.; visualization, N.A. and A.S.; supervision, I.K. and V.A.; funding acquisition, I.K. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

The work was funded by RUSSIAN SCIENCE FOUNDATION, grant number 20-19-00708P.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Koch S.W. Dynamics of first-order phase transitions in equilibrium and nonequilibrium systems. In: Araki H., Ehlers J., Hepp K., Kippenhahn R., Weidenmuller H.A., Zittartz J., editors. Lecture Notes in Physics. Springer; Berlin/Heidelberg, Germany: 1984. [Google Scholar]
  • 2.Bing Y., Shun-Le D. Molecular Dynamical Simulation of Water/Ice Phase Transitions within Carbon Nanotubes under Various Pressures. Chin. Phys. Lett. 2009;26:086402. doi: 10.1088/0256-307X/26/8/086402. [DOI] [Google Scholar]
  • 3.Matsumoto M., Saito S., Ohmine I. Molecular dynamics simulation of the ice nucleation and growth process leading to water freezing. Nature. 2002;416:409–413. doi: 10.1038/416409a. [DOI] [PubMed] [Google Scholar]
  • 4.Tanaka H., Koga K. Theoretical studies on the structure and dynamics of water, ice, and clathrate hydrate. Bull. Chem. Soc. Jap. 2006;79:1621–1644. doi: 10.1246/bcsj.79.1621. [DOI] [Google Scholar]
  • 5.Feistel R., Wagner W. A new equation of state for H2O ice Ih. J. Phys. Chem. Refer. Data. 2006;35:1021–1047. doi: 10.1063/1.2183324. [DOI] [Google Scholar]
  • 6.Leetmaa M., Ljungberg M.P., Lyubartsev A., Nilsson A., Pettersson L.G.M. Theoretical approximations to X-ray absorption spectroscopy of liquid water and ice. J. Electron Spectr. Relat. Phenom. 2010;177:135–137. doi: 10.1016/j.elspec.2010.02.004. [DOI] [Google Scholar]
  • 7.Chen Z., Berrens M.L., Chan K.-T., Fan Z., Donadio D. Thermodynamics of Water and Ice from a Fast and Scalable First-Principles Neuroevolution Potential. J. Chem. Eng. Data. 2024;69:128–140. doi: 10.1021/acs.jced.3c00561. [DOI] [Google Scholar]
  • 8.Jinesh K.B., Frenken J.W.M. Experimental evidence for ice formation at room temperature. Phys. Rev. Lett. 2008;101:036101. doi: 10.1103/PhysRevLett.101.036101. [DOI] [PubMed] [Google Scholar]
  • 9.Kringle L., Thornley W.A., Kay B.D., Kimmel G.A. Reversible structural transformations in supercooled liquid water from 135 to 245 K. Science. 2020;369:1490–1492. doi: 10.1126/science.abb7542. [DOI] [PubMed] [Google Scholar]
  • 10.Myint P.C., Belof J. Rapid freezing of water under dynamic compression. J. Phys. Condens. Matter. 2018;30:233002. doi: 10.1088/1361-648X/aac14f. [DOI] [PubMed] [Google Scholar]
  • 11.Parent P., Laffon C., Mangeney C., Bournel F., Tronc M. Structure of the water ice surface studied by X-ray absorption spectroscopy at the O K-edge. J. Chem. Phys. 2002;117:10842–10851. doi: 10.1063/1.1519256. [DOI] [Google Scholar]
  • 12.Zhu S., Bulut S., Le Bail A., Ramaswamy H.S. High-pressure differential scanning calorimetry (DCS): Equipment and technique validation using water-ice phase transition data. J. Food Process Eng. 2004;27:359–376. doi: 10.1111/j.1745-4530.2004.00471.x. [DOI] [Google Scholar]
  • 13.Anisimkin V.I., Kuznetsova I.E., Smirnov A.V. Sensors for liquid level and analysis of thermodynamic process during its freezing based on bulk acoustic waves. Radioelektron. Nanosistemy Inf. 2023;15:361–366. doi: 10.17725/rensit.2023.15.361. [DOI] [Google Scholar]
  • 14.Wang Y., Li F., Fang W., Li Y., Sun C., Men Z. Influence of Si quantum dots on water molecules icing. J. Mol. Liq. 2019;291:111315. doi: 10.1016/j.molliq.2019.111315. [DOI] [Google Scholar]
  • 15.Zhu X., Yuan Q., Zhao Y.-P. Phase transitions of a water overlayer on charged graphene: From electromelting to electrofreezing. Nanoscale. 2014;6:5432–5437. doi: 10.1039/c3nr06596k. [DOI] [PubMed] [Google Scholar]
  • 16.Bovo L., Rouleau C.M., Prabhakaran D., Bramwell S.T. Phase transitions in few-monolayer spin ice films. Nat. Commun. 2019;10:1219. doi: 10.1038/s41467-019-09187-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chakraborty S., Kahan T.F. Physical characterization of frozen aqueous solutions containing sodium chloride and humic acid at environmentally relevant temperatures. ACS Earth Space Chem. 2020;4:305–310. doi: 10.1021/acsearthspacechem.9b00319. [DOI] [Google Scholar]
  • 18.Luo C., Yu Y., Zhang J., Xie Y., Zhang T., Du Q., Gao Y., Cui W. Study of heat-mass transfer and salt-frost expansion mechanism of sulfate saline soil during the unidirectional freezing process. Int. J. Geomech. 2024;24:04024227. doi: 10.1061/IJGNAI.GMENG-9749. [DOI] [Google Scholar]
  • 19.Sobotkina M., Zak A., Benes M., Snehota M. Experimental and numerical investigation of water freezing and thawing in fully saturated sand. J. Hydrol. Hydromech. 2024;72:336–348. doi: 10.2478/johh-2024-0018. [DOI] [Google Scholar]
  • 20.Wang W., Li W., Bu Y., Li X., Zhu W. Nano freezing–thawing of atlantic salmon fillets: Impact on thermodynamic and quality characteristics. Food. 2023;12:2887. doi: 10.3390/foods12152887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wahl M.S., Aasen A., Hjelme D.R., Wilhelmsen O. Ice formation and growth in supercooled water–alcohol mixtures: Theory and experiments with dual fiber sensors. Fluid Phase Equilibria. 2020;522:112741. doi: 10.1016/j.fluid.2020.112741. [DOI] [Google Scholar]
  • 22.Filianina M., Bin M., Berkowicz S., Reiser M., Li H., Timmermann S., Blankenburg M., Amman-Winkel K., Gutt C., Perakis F. Nanocrystallites modulate intermolecular interactions in cryoprotected protein solutions. J. Phys. Chem. B. 2023;127:6197–6204. doi: 10.1021/acs.jpcb.3c02413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Caliskan F., Hajiyev C. A review of in-flight detection and identification of aircraft icing and reconfigurable control. Prog. Aerosp. Sci. 2013;60:12–34. doi: 10.1016/j.paerosci.2012.11.001. [DOI] [Google Scholar]
  • 24.Wei K., Yang Y., Zuo H., Zhong D. A review on ice detection technology and iceelimination technology for wind turbine. Wind Energy. 2020;23:433–457. doi: 10.1002/we.2427. [DOI] [Google Scholar]
  • 25.Wang Y., Wang Y., Zhu C.X., Zhu C.L. Simulation and experimental study of aircraft icing detection sensor by resonant. J. Nanjing Univ. Aeronaut. Astronaut. 2022;54:267–273. [Google Scholar]
  • 26.Wang Y., Zhang Y., Wang Y., Zhu D., Zhao N., Zhu C. Quantitative measurement method for ice roughness on an aircraft surface. Aerospace. 2022;9:739. doi: 10.3390/aerospace9120739. [DOI] [Google Scholar]
  • 27.Sigfusson H., Zieglar G.R., Coupland J.N. Ultrasonic monitoring of food freezing. J. Food Eng. 2004;62:263–269. doi: 10.1016/S0260-8774(03)00239-5. [DOI] [Google Scholar]
  • 28.Kabardin I., Dvoynishnikov S., Gordienko M., Kakaulin S., Ledovsky V., Gusev G., Zuev V., Okulov V. Optical methods for measuringicing of wind turbine blades. Energies. 2021;14:6485. doi: 10.3390/en14206485. [DOI] [Google Scholar]
  • 29.Zhang X., Zhou W., Li H. Electromechanical impedance-based ice detection of stay cables with temperature compensation. Struct. Control Health Monit. 2019;26:e2384. doi: 10.1002/stc.2384. [DOI] [Google Scholar]
  • 30.Maio L., Memmolo V., Christophel N., Kohl S., Moll J. Electromechanical admittance methodto monitor ice accretion on a composite plate. Measurement. 2023;220:113290. doi: 10.1016/j.measurement.2023.113290. [DOI] [Google Scholar]
  • 31.Sibilia S., Tari L., Bertocchi F., Chiodini S., Maffucci A. A capacitive ice-sensor based on graphenenano-platelets strips. Sensors. 2023;23:9877. doi: 10.3390/s23249877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Barthod C., Prasad M., Bouillot J., Galez C., Farzaneh M. High electric field measurement and ice detection using a safe probe near power installations. Sens. Actuators A Phys. 2004;113:140–146. doi: 10.1016/j.sna.2004.02.007. [DOI] [Google Scholar]
  • 33.Socorro-Leranoz A.B., Aginaga-Etxamendi K.I., Diaz S., Urrutia A., Villar I.D., Matias I.R. Monitoring of Water Freeze-Thaw Cycle by Means of an Etched Single- Mode-Multimode-Single-Mode Fiber-Optic Refractometer. IEEE Sens. J. 2023;23:12889–12898. doi: 10.1109/JSEN.2023.3273226. [DOI] [Google Scholar]
  • 34.Yardim C., Johnson J.T., Jezek K.C., Andrews M.J., Durand M., Duan Y., Tan S., Tsang L., Brogioni M., MacElloni G., et al. Greenland ice sheet subsurface temperature estimation using ultrawideband microwave radiometry. IEEE Trans. Geosci. Remote Sens. 2022;60:1–12. doi: 10.1109/TGRS.2020.3043954. [DOI] [Google Scholar]
  • 35.Hansman R.J., Kirby M.S. Measurement of ice growth during simulated and natural icing conditions using ultrasonic pulse-echo techniques. J. Aircr. 1986;23:493–498. doi: 10.2514/3.45334. [DOI] [Google Scholar]
  • 36.Vetelino K.A., Story P.K., Mileham R.D., Galipeau D.W. Improved dew point measurements based on a SAW sensor. Sens. Actuators B. 1996;35:91–98. doi: 10.1016/S0925-4005(96)02020-5. [DOI] [Google Scholar]
  • 37.Galipeau D.W., Story P.K., Vetelino K.A., Mileham R.D. Surface acoustic wave microsensors and applications. Smart Mater. Struct. 1997;6:658–667. doi: 10.1088/0964-1726/6/6/002. [DOI] [Google Scholar]
  • 38.Varadan V.K., Varadan V.V. IDT, SAW and MEMS sensors for measuring deflection, acceleration and ice detection of aircraft. Proc. SPIE. 1997;3046:209–219. doi: 10.1117/12.276610. [DOI] [Google Scholar]
  • 39.Hughes R.S., Martin S.J., Frye J.C., Ricco A.J. Liquid-solid phase transition detection with acoustic plate mode sensors: Application to icing of surfaces. Sens. Actuators A. 1990;A21–A23:693–699. doi: 10.1016/0924-4247(89)80060-3. [DOI] [Google Scholar]
  • 40.Vellekoop M.J., Jakoby B., Bastemeijer J. A Love-wave ice detector; Proceedings of the 1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium (Cat. No. 99CH37027); Tahoe, NV, USA. 17–20 October 1999; pp. 453–456. [Google Scholar]
  • 41.Jose K.A., Sunil G., Varadan V.K., Varadan V.V. Wireless IDT ice sensor; Proceedings of the 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No. 02CH37278); Seattle, WA, USA. 2–7 June 2002; pp. 655–658. [DOI] [Google Scholar]
  • 42.Gao H., Rose J.L. Ice detection and classification on an aircraft wing with ultrasonic shear horizontal guided waves. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 2009;56:334–343. doi: 10.1109/TUFFC.2009.1042. [DOI] [PubMed] [Google Scholar]
  • 43.Wang W., Yin Y., Jia Y., Liu M., Liang Y., Zhang Y., Lu M. Development of Love wave based device for sensing icing process with fast response. J. Electr. Eng. Technol. 2020;15:1245–1254. doi: 10.1007/s42835-020-00411-y. [DOI] [Google Scholar]
  • 44.Anisimkin V., Kolesov V., Kuznetsova A., Shamsutdinova E., Kuztensova I. An analysis of the water-to-ice phase transition using acoustic plate waves. Sensors. 2021;21:919. doi: 10.3390/s21030919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Smirnov A., Anisimkin V., Voronova N., Kashin V., Kuznetsova I. Multi-parameter characterization of liquid-to-ice phase transition using bulk acoustic waves. Sensors. 2024;24:4010. doi: 10.3390/s24124010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Schulmeyer P., Weihnacht M., Schmidt H. A Dual-mode surface acoustic wave delay line for the detection of ice on 64°-rotated Y-cut Lithium Niobate. Sensors. 2024;24:2292. doi: 10.3390/s24072292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Zeng X., Ong H., Haworth L., Lu Y., Yang D., Rahmati M., Wu Q., Torun H., Martin J., Hou X., et al. Fundamentals of monitoring condensation and frost/ice formation in cold environments using thin-film surface-acoustic- wave technology. ACS Appl. Mater. Interfaces. 2023;15:35648–35663. doi: 10.1021/acsami.3c04854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Yin Y., Cheng L., Liang Y., Wang W., Xiao H. Development of Love wave-based ice sensor incorporating a PDMS micro-tank. IEEE Sens. J. 2023;23:4740–4747. doi: 10.1109/JSEN.2023.3237338. [DOI] [Google Scholar]
  • 49.Anisimkin V.I., Voronova N.V. New modification of the acoustic lamb waves and its application for liquid and ice sensing. Ultrasonics. 2021;116:106496. doi: 10.1016/j.ultras.2021.106496. [DOI] [PubMed] [Google Scholar]
  • 50.Liu Y., Bond L.J., Hu H. Ultrasonic-attenuation-based technique for ice characterization pertinent to aircraft icing phenomena. AIAA J. 2017;55:1602–1609. doi: 10.2514/1.J055500. [DOI] [Google Scholar]
  • 51.Wang Y., Wang Y., Li W., Wu D., Zhao N., Zhu C. Study on freezing characteristics of the surface water film over glaze ice by using an ultrasonic pulse-echo technique. Ultrasonics. 2022;126:106804. doi: 10.1016/j.ultras.2022.106804. [DOI] [PubMed] [Google Scholar]
  • 52.Zhao Z., Yin Y., Hu A., Wang W., Liang Y. The U-net-based ice pore parameter extraction method for establishing the SAW icing sensing mechanism. Sens. Actuators A Phys. 2024;373:115394. doi: 10.1016/j.sna.2024.115394. [DOI] [Google Scholar]
  • 53.Yin Y., Cheng L., Wang W., Zhang Y., Liang Y. Rime ice growth characterized by surface acoustic wave. AIP Adv. 2021;11:115028. doi: 10.1063/5.0069716. [DOI] [Google Scholar]
  • 54.Anisimkin V.I., Voronova N.V. Integral array of acoustic sensors for micro-liter liquid discrimination. Bull. Russ. Acad. Sci. Phys. 2017;81:911–914. doi: 10.3103/S106287381708007X. [DOI] [Google Scholar]
  • 55.Ageykin N.A., Anisimkin V.I., Voronova N.V., Telminov O.A., Shamin E.S. Measurement and processing of the acoustic Lamb wave responses towards water solutions of basic flavors. Radioelektron. Nanosistemy Inf. 2024;16:325–330. doi: 10.17725/j.rensit.2024.16.325. [DOI] [Google Scholar]
  • 56.Ageykin N., Anisimkin V., Smirnov A., Fionov A., Li P., Qian Z., Ma T., Awasthi K., Kuznetsova I. Electronic “tongue” based on multimode multidirectional acoustic plate wave propagation. Sensors. 2024;24:6301. doi: 10.3390/s24196301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Adler E.L., Slaboszewicz J.K., Farnell G.W., Jen C.K. PC Software for SAW Propagation in Anisotropic Multilayers. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 1990;37:215–223. doi: 10.1109/58.55311. [DOI] [PubMed] [Google Scholar]
  • 58.Kuznetsova I.E., Zaitsev B.D., Joshi S.G., Teplykh A. Effect of a liquid on the characteristics of antisymmetric lamb waves in thin piezoelectric plates. Acoust. Phys. 2007;53:557–563. doi: 10.1134/S1063771007050041. [DOI] [Google Scholar]
  • 59. [(accessed on 25 November 2022)]. Available online: https://www.bostonpiezooptics.com/lithium-niobate.
  • 60.Kovacs G., Anhorn M., Engan H.E., Visiniti G., Ruppel C.C.W. Improved material constants for LiNbO3 and LiTaO3; Proceedings of the IEEE Symposium on Ultrasonics; Honolulu, HI, USA. 4–7 December 1990; pp. 435–438. [Google Scholar]
  • 61.Neumeier J.J. Elastic constants, bulk modulus, and compressibility of H2O ice Ih for the temperature range 50 K–273 K. J. Phys. Chem. Ref. Data. 2018;47:033101. doi: 10.1063/1.5030640. [DOI] [Google Scholar]
  • 62.Beiogol’skii V.A., Sekoyan S.S., Samorukova L.M., Stefanov S.R., Levtsov V.I. Pressure dependence of the sound velocity in distilled water. Meas. Tech. 1999;42:406–413. doi: 10.1007/BF02504405. [DOI] [Google Scholar]
  • 63.Zaitsev B.D., Kuznetsova I.E., Joshi S.G., Kuznetsova A.S. New method of change in temperature coefficient delay of acoustic waves in thin piezoelectric plates. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 2006;53:2113–2120. doi: 10.1109/TUFFC.2006.151. [DOI] [PubMed] [Google Scholar]
  • 64.Slobodnik A.J., Conway J.R., Delmonico E.D. Microwave Acoustic Handbook. Air Force Systems Command; Cambridge, MA, USA: 1973. p. 85. V.1A. Surface Wave Velocities. [Google Scholar]
  • 65.Anisimkin V.I. Anisotropy of the acoustic plate modes in ST-Quartz and 128Y-LiNbO3. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 2014;61:120–132. doi: 10.1109/TUFFC.2014.6689780. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are contained within the article.


Articles from Sensors (Basel, Switzerland) are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES