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. 2022 Jan 29;11:e00267. doi: 10.1016/j.ohx.2022.e00267

Design and implementation of 3-D printed radiation shields for environmental sensors

JS Botero-Valencia a,, M Mejia-Herrera a, Joshua M Pearce b
PMCID: PMC9058705  PMID: 35509928

Graphical abstract

graphic file with name ga1.jpg

Keywords: Climatic variables, Environmental variables, Internet of Things (IoT), low cost, Radiation shield, 3-D printing, Open hardware, Environmental monitoring, Sensing, Environmental sensing, Additive manufacturing, Smart agriculture

Abstract

The measurement of outdoor environmental and climatic variables is needed for many applications such as precision agriculture, environmental pollution monitoring, and the study of ecosystems. Some sensors deployed for these purposes such as temperature, relative humidity, atmospheric pressure, and carbon dioxide sensors require protection from climate factors to avoid bias. Radiation shields hold and protect sensors to avoid this bias, but commercial systems are limited, often expensive, and difficult to implement in low-cost contexts or large deployments for collaborative sensing. To overcome these challenges, this work presents an open source, easily adapted and customized design of a radiation shield. The device can be fabricated with inexpensive off-the-shelf parts and 3-D printed components and can be adapted to protect and isolate different types of sensors. Two material approaches are tested here: polylactic acid (PLA), the most common 3-D printing filament, and acrylonitrile styrene acrylate (ASA), which is known to offer better resistance against UV radiation, greater hardness, and generally higher resistance to degradation. To validate the designs, the two prototypes were installed on a custom outdoor meteorological system and temperature and humidity measurements were made in several locations for one month and compared against a proprietary system and a system with no shield. The 3-D printed materials were also both tested multiple times for one month for UV stability of their mechanical properties, their optical transmission and deformation under outdoor high-heat conditions. The results showed that ASA is the preferred material for this design and that the open source radiation shield could match the performance of proprietary systems. The open source system can be constructed for about nine US dollars, which enables mass development of flexible weather stations for monitoring needed in smart agriculture.


Specifications table:

Hardware name Open source radiation shield
Subject area
  • Engineering

  • Instrumentation

  • Internet of things

Hardware type
  • Measuring physical properties and in-lab sensors

  • Field measurements and sensors

  • Electrical engineering and computer science

Open source license GNU GPL v3 for documents and CERN OHL v2 for hardware
Cost of hardware 5.70–9.00 USD
Source file repository https://doi.org/10.17605/OSF.IO/XE49Y

Hardware in context

The study of the environment is of interest in numerous different fields such as aviation, agronomy, hydrology, meteorology, biology, construction, energy and many others. Such studies often involve variables such as wind speed and direction, humidity, temperature, precipitation, etc. [1], [2], [3], [4]. Although some of these sensors are inexpensive and do not require strict protection against climate factors, other sensors such as humidity or temperature sensors require a higher degree of protection or encapsulation as poor outdoor deployment architectures can generate micro-climates with high humidity or temperature levels and consequently introduce a bias to the data provided by the monitoring system [5], [3], [6]. Thus protection devices against solar radiation and moisture are needed and usually designed with materials and shapes that reject UV radiation and allow air circulation at ambient temperature [7]. Although it is possible to find commercial enclosures for sensors that fulfill such tasks, they are often fragile and difficult to implement in low-cost contexts or large deployments of collaborative sensing. Many commercial devices are expensive [8], [9], [10], [11], which limits their accessibility in low-resource settings.In addition, they are only manufactured by a few companies making them difficult to source nationally to avoid costly import fees or tariffs in some countries.

Systems designed to hold and keep sensors protected are regularly known as radiation shields, although their function also includes humidity and temperature bias reduction [6]. These shields are often a stack of conical-shaped and flat-tipped plates with a specific separation (although it is also possible to find other geometric designs as a vented cylinder or inverted u-shaped systems) [4]. The cone or body material provides a UV shield that protects the sensors from solar radiation, and the separation between the plates or the perforations of the body allows airflow to decrease the accumulation of humidity and heat [7]. Seeking to reduce the manufacturing price, some systems have been developed using alternative materials with UV coatings or insulating layers [12], [4], [13], [7], [14]. In addition, there is now widespread agreement in the literature that the open source scientific hardware is less expensive than proprietary hardware [15], [16], [17], [18]. To leverage the distributed manufacturing paradigm to make open source digitally-replicable tools more accessible [19], this study presents a design of the cone stack setup shields, using a low-cost open source RepRap-class 3-D printer to make the core components [20], [21] and commercially available materials to assemble them. Two materials are tested. First, polylactic acid (PLA) is selected as it is a green biomaterial and the most widespread, accessible and generally low-cost 3-D printing filament with mechanical properties that can be controlled by accessible process parameters [22]. PLA is compostable under specific conditions [23] and can be considered biodegradable as it degrades via both UV and thermal mechanisms [24] and is thus known to become brittle when exposed to sunlight [25]. Second, acrylonitrile styrene acrylate (ASA) was tested as it provides better resistance against UV radiation, greater hardness, and generally higher resistance to degradation [26] compared to more common fused filament fabrication(FFF)-based materials such as PLA or acrylonitrile butadiene styrene (ABS) [27].

To validate the designs, the two prototypes (one of PLA and one of ASA) were installed on a custom outdoor meteorological system and temperature and humidity measurements were made in several locations for one month and compared against a proprietary system and a system with no shield. The 3-D printed materials were also both tested multiple times for one month for UV stability of their mechanical properties, their optical transmission and deformation under outdoor high heat conditions.

Hardware description

The proposed device is primarily designed to protect humidity and temperature sensors and obtain non-biased measurements due to humidity concentration or lack of ventilation leading to high system temperatures. The system, also serves as a protective housing that can be used with other types of sensors. It is designed using an open source design methodology [28], [29], which maximizes the components that can be digitally replicated along with the use of off-the-shelf parts that are easily sourced in most places in the world. The shield is composed of six truncated cones, five of them with a central perforation, and one without a perforation that is located at the top of the system and acts as the roof of the system. The cones are arranged on each other using 20 mm metallic M3 separators, which allow airflow and keep the interior dry. A part designed for the sensor holder is added in the second cone (bottom to top) and secured with M3 screws, which ensures that the sensor does not receive direct light and is protected from the outside. Finally, a 1-inch PVC pipe coupling is added to the base of the system, which makes it easy to assemble in various configurations or locations. Since the parts are available in both STEP and STL format, it is possible to print them using different 3-D printing technologies, however, in this article, two versions were fabricated to compare the quality of the measurements acquired with the humidity and temperature Sensor SHT10, one in PLA material which is biodegradable and another version in ASA which provides better UV protection against solar radiation.

  • The cost of the shield is much lower than commercial systems, approximately 25% of the value of the least expensive found on the market.

  • It can be easily customized, replicated and experimented with other materials that further reduce the cost of production.

  • System construction is modular, which makes it easy to incorporate more cones and adapt to different sensors without having to make major modifications.

  • Provides a level of protection equal to that of commercially used systems, and is easy to assemble and install.

Design files

Design Files Summary

This section describes each of the files necessary for the construction of this device. The Table below also indicates its location.

  • PipeSupport (4 in the Fig. 1) is a piece that can be 3-D printed and is used in the lower part of the assembly to join the plate structure to a 1-inch PVC tube.

  • The plates or cones (2 in the Fig. 1) are the intermediate pieces of the structure and directly protect the sensor. The sensor size determines the number of required parts.

  • SensorSupport (1 in the Fig. 1), is a piece to set the sensor (SHT10) in the center of the structure, the internal diameter can be adjusted to fix another type of sensor.

  • TopPlate (3 in the Fig. 1), is the top plate, the only difference with the other cones is that TopPlate does not have the central hole and only has three holes to fix.

  • MainCode is the main source code used to read the sensors (SHT10), and send the data to the cloud. It has adjustable parameters.

  • Schematic is a drawing where the electrical connections are shown in a simplified way. It includes the connections for the sensors.

Design file name File type Open source license Location of the file
PipeSupport stl GNU GPL v3. https://osf.io/97mw5/
PipeSupport step GNU GPL v3. https://osf.io/b5ax9/
Plates stl GNU GPL v3. https://osf.io/bdxt2/
Plates step GNU GPL v3. https://osf.io/w289y/
SensorSupport stl GNU GPL v3. https://osf.io/gqnja/
SensorSupport step GNU GPL v3. https://osf.io/5duw3/
TopPlate stl GNU GPL v3. https://osf.io/bqj8u/
TopPlate step GNU GPL v3. https://osf.io/gxzk9/
Assembly pdf GNU GPL v3. https://osf.io/xrzqk/
MainCode ino GNU GPL v3. https://osf.io/yf7xa/
Schematic pdf GNU GPL v3. https://osf.io/62d9v/

Fig. 1.

Fig. 1

Exploded Assembly of the designed radiation Shield.

Bill of materials

This section presents a complete list of the parts that must be purchased and fabricated for the manufacture of this device. The BOM includes the current costs and an example supplier. The total cost shown enables researchers to carry out all of the tests discussed here, however, the cost of an open source radiation shield would be only 9.00 USD for ASA and 5.70 USD for PLA, if commercial filament is used.

Designator Component Qty Unit cost Total cost Source of material
Argon WiFi MCU 1 $27.92 $27.92 t.ly/olZ0
Terminal Block Base MCU 1 $14.95 $14.95 t.ly/GrLp
SHT10 Sensor 3 $26.90 $80.70 t.ly/iiL5
LiPo 6Ah Battery 1 $29.95 $29.95 t.ly/LsLW
Box IP69 Structural 1 $12.94 $12.94 t.ly/x3f6
ASA filament Structural 0.3 $29.99 $9.00 t.ly/9cQJ
PLA filament Structural 0.3 $18.99 $5.70 t.ly/CBQr
Enclosure Gland PG7 Structural 1 $8.99 $8.99 t.ly/HOL8
Pipe PVC 1-in Structural 1 $3.79 $3.79 t.ly/nj0q
Tee PVC 1-in Structural 5 $1.41 $7.05 t.ly/Bo7K

$200.98 Total

Build instructions

The open source sensor shield system was developed in a modular way. This enables users to add different numbers of components to fit several sensors. Additionally, the design enables users to test the effect of various configurations such as a changing the number of cones, materials, or cone separations in various environments. The tested system consists of six truncated cones with 20 mm of separation arranged as seen in the Fig. 1. Initially, the cone without central perforation must be joined with one of the perforated cones using M3 separators of 20 mm height and screws of the same type as seen in the Fig. 1. Each cone has six M3 perforations where screws must be inserted leaving an intermediate hole and fixed with the separators to join with the other cones. The lower cone must be fixed to piece number 5 that helps to introduce a 1-inch PVC tube, while piece number 1 is attached to the second cone (bottom to top) using M3 perforations. Finally, the central hole of the cones allows air flow and serves as a conduit for installing sensors and for wiring them.

Operation instructions

The design presented in this work only requires that it is assembled taking into account the instructions in the previous section in order to operate it normally. Here, in order to test different materials to make a comparison, the assembly presented in the Fig. 2 can be used, and the source code was included in the Open Science Framework repository for the project. This code acquires the output from the three sensors and sends the data to the cloud using MQTT in real time.

Fig. 2.

Fig. 2

Connection diagram for the validation electronic system..

Validation and characterization

To test the effect of the radiation shield, three SHT10 temperature, and humidity sensors were mounted as shown in Fig. 2. An additional sensor from a Vantage Pro station was used as a ground-truth reference [30]. Fig. 2 shows the wiring between the electronic elements of the sensors for the comparison experiment presented in this work. Three sensors were used to have: 1) a sensor exposed to the environment, 2) a sensor with the radiation shield fabricated in PLA and 3) a second one made from ASA. In the figures ”REF” is the Vantage Pro sensor, ”ASA” the sensor built with the ASA shield, ”PLA” corresponds to the sensor with the shield made of PLA, and ”RAW” the sensor exposed to the environment without a shield. In Fig. 3, the assembly used to validate and test the operation of the sensors is presented. It can be similarly integrated into open source climate stations [31]. A radiation shield is 3-D printed in PLA (Orange) and one in ASA (White). In addition, a sensor is directly exposed to the environment. All three were joined mechanically with a structure fabricated in 1-inch PVC tubes and connected in the central black box as seen in Fig. 3. The microcontroller is responsible for acquiring and sending data to the cloud for analysis. The sensor used is the same in all three cases, the SHT10 with a special outdoor cover. Fig. 4, Fig. 4 show the comparison of temperature and humidity measurements of a full day carried out in the city of Bogotá D.C, Colombia. Bogotá has cold weather and is located approximately 2600 meters above sea level. The Fig. 4, Fig. 4, present the magnitude of absolute error of each assembly compared to the reference. It is clear that the error of the RAW sensor is much higher for the two systems with the experimental radiation shields, and increases significantly due to solar radiation. On a smaller scale, it can be seen that the error due to PLA is slightly higher than that from the radiation shield printed in ASA. These observations are consistent with the material properties. Although the results show minimum differences between both materials when experiments first start, the ASA shielded sensors provides results that are more similar to the reference measurements. Due to accelerated outdoor degradation expected of unprotected PLA, the device is expected to get incrementally biased.

Fig. 3.

Fig. 3

Assembly used for validation and testing.

Fig. 4.

Fig. 4

Comparison of temperature and humidity, Bogotá, day 1, cold day.

In Fig. 5, the same comparison of the previous experiment is shown, but the experiment was conducted in the city of Medellín, Colombia on a warm day. Medellín is located approximately 1400 meters above sea level. The climate of the city that day was predominantly warm, as can be seen with the temperature values in Fig. 5. Again the impact of the radiation shields can be seen compared to to the effect of radiation on the RAW sensor.

Fig. 5.

Fig. 5

Comparison of temperature and humidity, Medellín, day 2, warm day.

Finally, in Fig. 6, the comparison for the four sensors is shown in the city of Medellín, during a rainy morning. The effect of precipitation on the RAW sensor are clear. Additionally, it can be seen that as the sensor becomes wet, the measurement of moisture becomes saturated and only approached the reference after drying.

Fig. 6.

Fig. 6

Comparison of temperature and humidity, Medellín, day 3, rainy day.

Table 1 and Table 2 show a summary of the maximum, mean and minimum value for the variables and the days, as well as the maximum, mean and minimum error in order to quantify the effectiveness of the radiation shields. It is clear that the ASA error is less than that of the PLA error. The RAW error is much higher than both shielded sensors.

Table 1.

Limits and error in experimental measurements - Temperature.

Day 1 - Bogotá
Day 2 - Medellín
Day 3 - Medellín
Min Mean Max Min Mean Max Min Mean Max
TASA 12.3900 14.1776 17.3800 19.4619 23.3435 19.0100 19.0100 22.2485 27.7992
TPLA 12.5968 14.3456 17.5159 19.6435 23.5981 30.6800 19.1835 22.5461 28.2988
TRAW 12.3608 14.8831 20.8678 19.0391 24.0499 34.4200 18.1000 22.8252 31.4905
ETASA 00.0032 00.0504 00.4414 00.0104 00.0425 00.3239 00.0010 00.0660 01.1794
ETPLA 00.0290 00.1794 00.5129 00.0087 00.2521 00.6635 00.1295 00.3091 01.4731
ETRAW 00.0098 00.7275 04.0775 00.0002 01.3449 04.5309 00.0191 01.2075 06.0233

Table 2.

Limits and error in experimental measurements - Humidity

Day 1 - Bogotá
Day 2 - Medellín
Day 3 - Medellín
Min Mean Max Min Mean Max Min Mean Max
HASA 55.8619 68.6932 80.0026 37.2683 66.2408 88.9683 45.2188 72.4850 90.2487
HPLA 55.9548 68.4776 79.4675 36.7503 65.7930 88.4066 44.6303 71.5258 89.2274
HRAW 47.3603 66.3408 79.5123 30.9499 66.0918 93.1150 44.4492 73.8120 93.6751
EHASA 00.0533 00.3014 03.4173 00.0001 00.3196 01.7675 00.0213 00.3916 06.9984
EHPLA 00.0566 00.4020 03.7008 00.0909 00.5152 02.2265 00.0480 01.0521 06.5934
EHRAW 00.1200 02.3942 10.8066 00.0939 04.1355 12.6509 00.0760 03.4800 14.3261

Although PLA and ASA have similar chemical compatibility [32] the primary mode of degradation in this application is from UV radiation reducing the fracture toughness of the 3-D printed parts. To validate this, three ASA and three PLA top plates were printed (part 3 in the Fig. 1) from the same material spool, and with the same infill parameters. One of the plates of each was stored. The second plate was installed in the system and exposed to environmental conditions (UV, heat fluctuations and rain) for 30 days. The final plate underwent the same outdoor testing for 90 days. The stored pieces are wrapped in a protective plastic film and kept in a dry and closed room without natural light where other 3-D printing materials are kept. After being exposed to the various environmental conditions, compression tests were carried out with a universal testing machine at a speed of 5 mm/min on each of the plates. In Fig. 7a, it can see the fracture results for PLA, where PLA1 is the part stored, PLA2 the part exposed for 30 days and PLA3 is the part exposed for 90 days. The same conditions can be seen in the Fig. 7b, for ASA1,ASA2 and ASA3, respectively. It can be seen that the mechanical resistance of both pieces decreased, but that ASA decreased less and the mechanical resistance of the ASA is also higher than that of the PLA. Finally, in Fig. 8, the result of a simple transmittance test is shown. This test was performed by printing two pieces of ASA and PLA with a 2 mm thickness to cover two AS7341 multispectral sensors. The mean transmittance was normalized taking the data of one day. I can be seen that the transmittance of the ASA is less than 20% of that of the PLA for the wavelengths of 415 and 445 nm, which corresponds to the bands close to UV. Finally, Fig. 9 shows the 3-D printed parts for the transmittance test (PLA is orange PLA and ASA is white, as mentioned. Inside this assembly is an AS7341 multispectral sensor. Even after a one day test, the PLA coating deformed significantly and heat and UV deformation is not perceived in the ASA. To observe the deformation in the PLA piece in Fig. 9, the edge was highlighted in green, the deformation in the center reaches 3 mm. On the other hand, the edge of ASA is highlighted with purple, and it can be seen that the deformation is not evident. There are several ways this system can be improved upon in the future. The deformation of the PLA is concerning, but the transmittance and UV stability may be able to be improved with UV protective coatings such as paint or epoxy that could be explored in future work. ASA, however, appears to be a much better candidate material for this application although it is a more expensive filament material. To lower costs, recycled filament or waste plastic particles could be used. Previous work in distributed recycling and additive manufacturing (DRAM) [33] have shown that both PLA and ASA [34] can be recycled into filament as well as direct extrusion printing from particles [35], [36]. In addition, the costs and potentially the longevity can be further enhanced by fabricating the radiation shields with ASA composites [37]. Many other 3-D printing polymers and coatings could be tested for this application in future work, although ASA is the recommended material from this study. Although, ASA is currently a relatively uncommon speciality polymer the costs of this system at nine dollars is still far more cost effective than the several hundred dollars for commercial systems from science suppliers and even the tens of dollars from low-cost vendors. This reduced cost makes the frugal technology more accessible to researchers all over the world [19]. These results are also in agreement with past work that has shown lower costs for the use of 3-D printing in scientific instrumentation in other fields [38], [39], [40]. Future work could match the form factor of the majority of sensors and help scale the radiations shield appropriately for each one. Finally, in the long term future work could focus on integrating and 3-D printing the sensors themselves into the shields[41].

Fig. 7.

Fig. 7

Compression tests after exposure to various environmental conditions.

Fig. 8.

Fig. 8

Multispectral sensor-based transmittance test.

Fig. 9.

Fig. 9

Heat deformation in PLA during transmittance test.

Human and animal rights

No human or animal studies were conducted in this work.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This study were supported by the Sistemas de Control y Robótica (GSCR) Group COL0123701, at the Sistemas de Control y Robótica Laboratory, attached to the Instituto Tecnológico Metropolitano and the program ”Sistemas inteligentes para el monitoreo de cultivos agricolas permanentes y transitorios” 70107, in project ”IoT para el monitoreo de variables agroclimáticas en cultivos agrícolas permanentes y transitorios” 70706 and the Thompson Endowment.

Biographies

Inline graphicJ.S. Botero-Valencia Magister in Automation and Industrial Control, and PhD in Engineering, has experience in control systems and robotics, specifically in the Internet of Things (IoT) and mobile robotics. He currently works as a Professor in the Department of Mechatronics and Electromechanics of the Faculty of Engineering of the Metropolitan Technological Institute, and belongs to the Laboratory of Control Systems and Robotics.

Inline graphicM. Mej?a-Herrera, Mechatronic Engineer and MSc (e) in Automation and Industrial Control of Instituto Tecnol?gico Metropolitano in Medellin Colombia, Member of the research group classification A1 “Autom?tica, Electr?nica y Ciencias Computacionales” since 2018 with experience in artificial vision, embedded systems, IoT and 3D printing for the development of low-cost prototypes.

Inline graphicJoshua M. Pearce received his Ph.D. in Materials Engineering from the Pennsylvania State University. He then developed the first Sustainability program in the Pennsylvania State System of Higher Education and helped develop the Applied Sustainability graduate engineering program while at Queen’s University, Canada. He was then the Richard Witte Professor of Materials Science & Engineering and a Professor cross-appointed in the Department of Electrical & Computer Engineering at the Michigan Technological University. He is currently the John M. Thompson Chair in Information Technology and Innovation at the Thompson Centre for Engineering Leadership & Innovation at the Ivey Business School and a professor in the Department of Electrical & Computer Engineering at Western University, Canada. He was a Fulbright-Aalto University Distinguished Chair and is a visiting professor of Photovoltaics and Nanoengineering at Aalto University as well as a visiting Professor ?quipe de Recherche sur les Processus Innovatifs (ERPI), Universit? de Lorraine, France. His research concentrates on the use of open source appropriate technology to find collaborative solutions to problems in sustainability and poverty reduction. He is the editor-in-chief of HardwareX and the author of the Open-Source Lab:How to Build Your Own Hardware and Reduce Research Costs and Create, Share, and Save Money Using Open-Source Projects.

Footnotes

Given his role as Co-Editor in Chief, Joshua Pearce had no involvement in the peer-review of this article and has no access to information regarding its peer-review. Full responsibility for the editorial process for this article was delegated to Prof. Todd Duncombe.

References

  • 1.Luh Y.-H., Chang Y.-C. Effect of Climate Change on Staple Food Production: Empirical Evidence from a Structural Ricardian Analysis. Agronomy. 2021;11(2):369. doi: 10.3390/agronomy11020369. [DOI] [Google Scholar]
  • 2.N.L. Knowles, D. Scott, Media representations of climate change risk to ski tourism: a barrier to climate action?, Current Issues in Tourism 24 (2) (2021) 149–156. doi:10.1080/13683500.2020.1722077. doi:10.1080/13683500.2020.1722077
  • 3.D. Caissie, N. El-Jabi, The importance of cross-calibration and protecting water temperature sensors against direct solar radiation heating in hydrological studies, Hydrological Sciences Journal 65 (1) (2020) 102–111. doi:10.1080/02626667.2019.1688818. doi:10.1080/02626667.2019.1688818
  • 4.Clark P.E., Johnson D.E., Harris N., Thomas D.R. Low-cost radiation shielding for use in mapping the thermal environments of rangeland animals. Rangeland Ecology and Management. 2006;59(6):674–679. doi: 10.2111/05-093R2.1. [DOI] [Google Scholar]
  • 5.Ashcroft M.B. Which is more biased: Standardized weather stations or microclimatic sensors? Ecology and Evolution. 2018;8(11):5231–5232. doi: 10.1002/ece3.3965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Terando A.J., Youngsteadt E., Meineke E.K., Prado S.G. Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements. Ecology and Evolution. 2017;7(23):9890–9904. doi: 10.1002/ece3.3499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Holden Z.A., Klene A.E., Keefe R.F., Moisen G.G. Design and evaluation of an inexpensive radiation shield for monitoring surface air temperatures. Agricultural and Forest Meteorology. 2013;180:281–286. doi: 10.1016/j.agrformet.2013.06.011. [DOI] [Google Scholar]
  • 8.Seeed, Solar Radiation Shield (2021). url:https://www.seeedstudio.com/Solar-Radiation-Shield-for-Outdoor-Sensor-Protection-A10-p-4601.html.
  • 9.M. c. S.P. LTD, COMETEO (2021). url:https://www.tequipment.net/Comet/F8800/General-Accessories/?Source=googleshopping.
  • 10.B. Heaven, Davis Radiation Shield (2021). url:https://boatinghaven.com/products/davis-radiation-shield-7714?_pos=1&_sid=283118d0e&_ss=r
  • 11.R.M.Y. Company, 41003p radiation shield, 25 mm (2021). url:https://usmegastore.com/product/r-m-young-company-41003p-25-41003p-radiation-shield-25-mm.
  • 12.Araújo T., Silva L., Moreira A. Evaluation of Low-Cost Sensors for Weather and Carbon Dioxide Monitoring in Internet of Things Context. IoT. 2020;1(2):286–308. doi: 10.3390/iot1020017. [DOI] [Google Scholar]
  • 13.Mickley J.G., Moore T.E., Schlichting C.D., DeRobertis A., Pfisterer E.N., Bagchi R. Measuring microenvironments for global change: DIY environmental microcontroller units (EMUs) Methods in Ecology and Evolution. 2019;10(4):578–584. doi: 10.1111/2041-210X.13128. [DOI] [Google Scholar]
  • 14.Terando A.J., Prado S.G., Youngsteadt E. Construction of a compact low-cost radiation shield for air-temperature sensors in ecological field studies. Journal of Visualized Experiments. 2018;2018(141):1–7. doi: 10.3791/58273. [DOI] [PubMed] [Google Scholar]
  • 15.Pearce J.M. Building research equipment with free, open-source hardware. Science. 2012;337(6100):1303–1304. doi: 10.1126/science.1228183. [DOI] [PubMed] [Google Scholar]
  • 16.J.M. Pearce, Open-Source Lab: How to Build Your Own Hardware and Reduce Research Costs, Newnes, 2013, google-Books-ID: 0bOKAAAAQBAJ.
  • 17.E. Canessa, C. Fonda, M. Zennaro, E. Canessa, Low—cost 3D printing for science, education and sustainable development, ICTP Science Dissemination Unit, 2013. url:http://sdu.ictp.it/3D/book.html
  • 18.Pearce J.M. Cut costs with open-source hardware. Nature. 2014;505(74857485) doi: 10.1038/505618d. 618–618. [DOI] [PubMed] [Google Scholar]
  • 19.Chagas A.M. Haves and have nots must find a better way: The case for open scientific hardware. PLOS Biology. 2018;16(9) doi: 10.1371/journal.pbio.3000014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jones R., Haufe P., Sells E., Iravani P., Olliver V., Palmer C., Bowyer A. Reprap – the replicating rapid prototyper. Robotica. 2011;29(1):177–191. doi: 10.1017/S026357471000069X. [DOI] [Google Scholar]
  • 21.Sells E., Bailard S., Smith Z., Bowyer A., Olliver V. RepRap: The Replicating Rapid Prototyper: Maximizing Customizability by Breeding the Means of Production, World Scientific Publishing Company. Ch. 2009;28:568–580. doi: 10.1142/9789814280280_0028. url:https://www.worldscientific.com/doi/abs/10.1142/9789814280280_0028. [DOI] [Google Scholar]
  • 22.Vanaei H., Shirinbayan M., Deligant M., Raissi K., Fitoussi J., Khelladi S., Tcharkhtchi A. Influence of process parameters on thermal and mechanical properties of polylactic acid fabricated by fused filament fabrication. Polymer Engineering & Science. 2020;60(8):1822–1831. doi: 10.1002/pen.25419. [DOI] [Google Scholar]
  • 23.(Jul 2019). [link]. url:https://www.3dnatives.com/en/pla-filament-230720194/.
  • 24.J. Ren, Biodegradable Poly(Lactic Acid): Synthesis, Modification, Processing and Applications, Springer, 2010. doi:10.1007/978-3-642-17596-1_1. doi:10.1007/978-3-642-17596-1_1
  • 25.Varsavas S.D., Kaynak C. Weathering degradation performance of PLA and its glass fiber reinforced composite. Materials Today Communications. 2018;15(August):344–353. doi: 10.1016/j.mtcomm.2017.11.008. [DOI] [Google Scholar]
  • 26.Stratasys, Similar to abs, only better, Stratasys. url:https://www.stratasys.com/materials/search/asa.
  • 27.Wickramasinghe S., Do T., Tran P. FDM-Based 3D printing of polymer and associated composite: A review on mechanical properties, defects and treatments. Polymers. 2020;12(7):1–42. doi: 10.3390/polym12071529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.A. Gibb, Building Open Source Hardware: DIY Manufacturing for Hackers and Makers, Pearson Education, 2014, google-Books-ID: dKnfBQAAQBAJ.
  • 29.Oberloier S., Pearce J.M. General design procedure for free and open-source hardware for scientific equipment. Designs. 2018;2(11):2. doi: 10.3390/designs2010002. [DOI] [Google Scholar]
  • 30.Davis, Vantage pro (2021). url:https://www.davisinstruments.com/pages/vantage-pro2.
  • 31.J.S. Botero-Valencia, M. Mejia-Herrera, J. Pearce, Low cost climate station for smart agriculture applications with photovoltaic energy and wireless communication, to be published. [DOI] [PMC free article] [PubMed]
  • 32.Heikkinen I.T.S., Kauppinen C., Liu Z., Asikainen S.M., Spoljaric S., Seppälä J.V., Savin H., Pearce J.M. Chemical compatibility of fused filament fabrication-based 3-d printed components with solutions commonly used in semiconductor wet processing. Additive Manufacturing. 2018;23:99–107. doi: 10.1016/j.addma.2018.07.015. [DOI] [Google Scholar]
  • 33.Cruz Sanchez F.A., Boudaoud H., Camargo M., Pearce J.M. Plastic recycling in additive manufacturing: A systematic literature review and opportunities for the circular economy. Journal of Cleaner Production. 2020;264 doi: 10.1016/j.jclepro.2020.121602. [DOI] [Google Scholar]
  • 34.Mikula K., Skrzypczak D., Izydorczyk G., Warchoł J., Moustakas K., Chojnacka K., Witek-Krowiak A. 3d printing filament as a second life of waste plastics–a review. Environmental Science and Pollution Research. 2021;28(10):12321–12333. doi: 10.1007/s11356-020-10657-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.A. Alexandre, F.A. Cruz Sanchez, H. Boudaoud, M. Camargo, J.M. Pearce, Mechanical properties of direct waste printing of polylactic acid with universal pellets extruder: Comparison to fused filament fabrication on open-source desktop three-dimensional printers, 3D Printing and Additive Manufacturing 7 (5) (2020) 237–247. doi:10.1089/3dp.2019.0195.
  • 36.Woern A.L., Byard D.J., Oakley R.B., Fiedler M.J., Snabes S.L., Pearce J.M. Fused particle fabrication 3-d printing: Recycled materials– optimization and mechanical properties. Materials. 2018;11(88):1413. doi: 10.3390/ma11081413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Meyer T.K., Tanikella N.G., Reich M.J., Pearce J.M. Potential of distributed recycling from hybrid manufacturing of 3-d printing and injection molding of stamp sand and acrylonitrile styrene acrylate waste composite. Sustainable Materials and Technologies. 2020;25 doi: 10.1016/j.susmat.2020.e00169. [DOI] [Google Scholar]
  • 38.Baden T., Chagas A.M., Gage G., Marzullo T., Prieto-Godino L.L., Euler T. Open labware: 3-d printing your own labequipment. PLOS Biology. 2015;13(3) doi: 10.1371/journal.pbio.1002086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Coakley M., Hurt D.E. 3d printing in the laboratory: Maximize time and funds with customized and open-source labware. Journal of Laboratory Automation. 2016;21(4):489–495. doi: 10.1177/2211068216649578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Pearce J.M. Economic savings for scientific free and open source technology: A review. HardwareX. 2020;8 doi: 10.1016/j.ohx.2020.e00139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ni Y., Ji R., Long K., Bu T., Chen K., Zhuang S. A review of 3d-printed sensors. Applied Spectroscopy Reviews. 2017;52(7):623–652. doi: 10.1080/05704928.2017.1287082. [DOI] [Google Scholar]

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