Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1

The DOI matches its Crossref record; the references it cites are not checked yet.

Design and Optimization of Thermal Vacuum Sensor Test System Based on Thermoelectric Cooling

Shan, Xiaohang, Zhao, Min, Li, Gang·2024·Applied Sciences

Abstract

The performance of critical components in a sensor testing system may be compromised in a thermal vacuum environment as a result of the impact of extreme temperatures. Moreover, the precision of the angle measurement may be influenced by the thermal deformation effect. This paper presents a simulated analysis of the temperature regulation impact of the thermoelectric cooler (TEC) and outlines the design and optimization process of a sensor test chamber that can function within a consistent temperature range. The mathematical model of TEC is utilized to suggest a design choice, taking into account the aforementioned model, in a temperature-controlled environment with thermal vacuum circumstances. Moreover, the orthogonal test method is employed in combination with the FloEFD finite element analysis to validate the effectiveness of temperature control. In addition, the parameters of the radiation radiator are tuned and designed. Therefore, the temperature range difference inside the test system decreased by 20%. The thermoelectric temperature control system’s steady-state model is investigated using the PSpice simulation, based on the equivalent circuit theory. The discovered conclusions establish a theoretical foundation for improving the efficiency of temperature regulation. The design concepts presented in this work, particularly the optimization technique for radiation radiators in aerospace test equipment using thermoelectric cooling temperature control research and development, hold promise for practical implementation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/app14146144

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

Cited by 1

Research works printed but not linked: 34

  1. Sarkar, 2017, Lifetime performances of modernized GLONASS satellites: A review, Artif. Satell., 52, 85, 10.1515/arsa-2017-0008 · DOI
  2. (2018). Rocket Crash, Alcohol Warnings and Astronomy’s Leaky Pipeline. Nature, 562, 312–313. · DOI
  3. Wilson, 2014, Emerging needs for pervasive passive wireless sensor networks on aerospace vehicles, Procedia Comput. Sci., 37, 101, 10.1016/j.procs.2014.08.018 · DOI
  4. Arockiyadoss, M.A., Dehnaw, A.M., Manie, Y.C., Hayle, S.T., Yao, C.-K., Peng, C.-H., Kumar, P., and Peng, P.-C. (2024). Self-Healing Fiber Bragg Grating Sensor System Using Free-Space Optics Link and Machine Learning for Enhancing Temperature Measurement. Electronics, 13. · DOI
  5. Jiang, 2024, High-Performance Airflow Sensors Based on Suspended Ultralong Carbon Nanotube Crossed Networks, ACS Appl. Mater. Interfaces, 16, 20949
  6. Mang, J., Qiu, Z., Pan, W., Dong, M., and Wu, M. (2021, January 23–26). GGTS: FPGA-Based General Ground Test System for Space-Borne Equipment. Proceedings of the 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), Chengdu, China. · DOI
  7. Nguyen, 2012, Cost impact of automated acceptance testing of electrical ground support equipment for spacecraft testing, IEEE Instrum. Meas. Mag., 15, 28, 10.1109/MIM.2012.6263981 · DOI
  8. Teague, 2024, Bootstrap geometric ground calibration method for wide angle star sensors, JOSA A, 41, 654, 10.1364/JOSAA.517943 · DOI
  9. Huang, 2023, Recent progress of thermoelectric applications for cooling/heating, power generation, heat flux sensor and potential prospect of their integrated applications, Therm. Sci. Eng. Prog., 45, 102064, 10.1016/j.tsep.2023.102064 · DOI
  10. Pourkiaei, 2019, Thermoelectric cooler and thermoelectric generator devices: A review of present and potential applications, modeling and materials, Energy, 186, 115849, 10.1016/j.energy.2019.07.179 · DOI · Paper page
  11. Sun, 2022, Advances in thermoelectric devices for localized cooling, Chem. Eng. J., 450, 138389, 10.1016/j.cej.2022.138389 · DOI
  12. Zhang, X., and Zhang, X. (2021, January 9–11). Application of Thermoelectric Technology in Direct Air Cooling System of Thermal Power Plant. Proceedings of the IOP Conference Series: Earth and Environmental Science, Chengdu, China. · DOI
  13. Ling, 2023, Precise temperature control of electronic devices under ultra-high thermal shock via thermoelectric transient pulse cooling, Appl. Energy, 351, 121870, 10.1016/j.apenergy.2023.121870 · DOI
  14. Wiriyasart, 2019, Sensible air cool-warm fan with thermoelectric module systems development, Case Stud. Therm. Eng., 13, 100369, 10.1016/j.csite.2018.100369 · DOI
  15. Ponce, 2019, Predicting a thermal stimulator’s heating/cooling rate for medical applications, Appl. Therm. Eng., 163, 114376, 10.1016/j.applthermaleng.2019.114376 · DOI
  16. Ismailov, 2021, A mathematical model of a thermoelectric device for extracting foreign objects from the human body by freezing, Biomed. Eng., 55, 219, 10.1007/s10527-021-10105-y · DOI
  17. Chen, 2022, Thermoelectric coolers for on-chip thermal management: Materials, design, and optimization, Mater. Sci. Eng. R Rep., 151, 100700, 10.1016/j.mser.2022.100700 · DOI · Paper page
  18. Kellermann, 2022, Design of a battery cooling system for hybrid electric aircraft, J. Propuls. Power, 38, 736, 10.2514/1.B38695 · DOI
  19. Morozov, S. (2018, January 9–14). Stimulated Emission in 2.8–3.5 μm Wavelength Range from Peltier Cooled Hgte/Cdhgte Quantum Well Heterostructures. Proceedings of the 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Nagoya, Japan. · DOI
  20. Kudryavtsev, 2021, Toward Peltier-cooled mid-infrared HgCdTe lasers: Analyzing the temperature quenching of stimulated emission at ~6 μm wavelength from HgCdTe quantum wells, J. Appl. Phys., 130, 214302, 10.1063/5.0071908 · DOI
  21. Sarris, 2022, Thermoelectric energy harvesting using vapour chamber coolers for aerospace applications, J. Intell. Mater. Syst. Struct., 33, 1602, 10.1177/1045389X211063944 · DOI
  22. Naigert, K.V., and Tselischev, V.A. (2019, January 1–3). Modeling of Thermoelectric Elements in Cooling Circuits of Drive Systems. Proceedings of the 2019 International Ural Conference on Electrical Power Engineering (UralCon), Chelyabinsk, Russia. · DOI
  23. Ding, 2024, Thermal-hydraulic performance study of swiftlet-type fins for supercritical carbon dioxide precooler, Energy Sources Part A Recovery Util. Environ. Eff., 46, 5412
  24. Bouabidi, 2024, Improving solar still productivity via fin optimization: Computational and experimental investigations, Energy Sources Part A Recovery Util. Environ. Eff., 46, 1260
  25. Wang, 2024, Multi-objective optimization of heat charging performance of phase change materials in tree-shaped perforated fin heat exchangers, Energy, 294, 130839, 10.1016/j.energy.2024.130839 · DOI
  26. Zhao, 2023, Optimization design of surface microstructure of high-efficiency space radiation heat dissipation fins, Ann. Nucl. Energy, 182, 109590, 10.1016/j.anucene.2022.109590 · DOI
  27. Fan, 2022, Thermoelectric-based cooling system for high-speed motorized spindle I: Design and control mechanism, Int. J. Adv. Manuf. Technol., 121, 3787, 10.1007/s00170-022-09568-4 · DOI
  28. Cheng, 2019, The Analysis of Numerical Simulation About Thermal Management on Frequency Converter, IEEE Access, 7, 145677, 10.1109/ACCESS.2019.2944953 · DOI
  29. Wang, 2021, An enhanced thermoelectric collaborative cooling system with thermoelectric generator serving as a supplementary power source, IEEE Trans. Electron Devices, 68, 1847, 10.1109/TED.2021.3059183 · DOI
  30. Kominek, J., Zachar, M., Guzej, M., Bartuli, E., and Kotrbacek, P. (2021). Influence of ambient temperature on radiative and convective heat dissipation ratio in polymer heat sinks. Polymers, 13. · DOI
  31. Ning, 2022, A revised radiant time series method (RTSM) to calculate the cooling load for pipe-embedded radiant systems, Energy Build., 268, 112199, 10.1016/j.enbuild.2022.112199 · DOI
  32. Zhu, 2020, Realizing record high performance in n-type Bi 2 Te 3-based thermoelectric materials, Energy Environ. Sci., 13, 2106, 10.1039/D0EE01349H · DOI
  33. Hassan, 2022, Multi-criteria assessment of enhanced radiant ceiling panels using internal longitudinal fins, Build. Environ., 224, 109554, 10.1016/j.buildenv.2022.109554 · DOI
  34. Ko, 2017, A Study on the Radiant Heat Performance of Ballast according to the Aspect Ratio of UCD-Lamp Ballast Fin, J. Korean Soc. Mech. Technol., 19, 579, 10.17958/ksmt.19.5.201710.579 · DOI

Metadata

Authors
Shan, X., Zhao, M., & Li, G.
Venue
Applied Sciences
Publisher
MDPI AG
Published
2024-07-15
Volume
14
Issue
14
Pages
6144
ISSN
2076-3417
Cited by
1
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Design and Optimization of Thermal Vacuum Sensor Test System Based on Thermoelectric Cooling. https://app.cochat.ai/papers/10.3390/app14146144
The paper
Shan, X., Zhao, M., & Li, G. (2024). Design and Optimization of Thermal Vacuum Sensor Test System Based on Thermoelectric Cooling. Applied Sciences. https://doi.org/10.3390/app14146144

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.