Material Selection and Design Optimization of Temperature Sensors

DOI

10.2991/978-94-6463-864-6_56How to use a DOI?

Keywords

Sensor Introduction; Material Science; Pratical Design; Temperature Measurement; Temperature Sensor

Abstract

This paper focuses on the material selection and design optimization of temperature sensors, exploring the characteristics of different materials and their impact on sensor performance. First, the study analyses mainstream temperature sensor types, such as thermistors, RTDs, thermocouples, and infrared sensors, comparing their working principles, measurement ranges, accuracy, and application scenarios. Next, the physical properties of metals, semiconductors, and ceramics are examined, including thermoelectric effects, thermal conductivity, and temperature coefficients, to illustrate how material selection influences sensor sensitivity, linearity, and stability. Subsequently, structural design for performance enhancement based on thermodynamic laws, resistive temperature effects, and infrared radiation theory are discussed in terms of physical principles and design optimization. Applications in industrial, medical, and consumer electronics also validate the effectiveness of material and design optimizations in real-world scenarios. Finally, the paper outlines future trends in temperature sensor development, such as AI-driven intelligent calibration and the application of novel materials. The synergy between material science and physical design is key to breakthroughs in temperature sensor performance, with advancements in materials and technology paving the way for smarter and more versatile sensors.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Haoyu Wu
PY  - 2025
DA  - 2025/10/23
TI  - Material Selection and Design Optimization of Temperature Sensors
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 655
EP  - 667
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_56
DO  - 10.2991/978-94-6463-864-6_56
ID  - Wu2025
ER  -