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Published on: June 3, 2015
Adaptive Thin Film Temperature Sensor for Bearing's Rolling Elements Temperature Measurement
Yunxian Cui1, Pengfei Gao1, Wuchu Tang1
1School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China.
A novel thin film thermocouple temperature sensor was developed for monitoring train bearing rolling element temperatures. This sensor accurately measures rapid temperature changes, enhancing operational safety and preventing potential failures.
Area of Science:
- Materials Science
- Mechanical Engineering
- Sensor Technology
Background:
- Increasing train speeds necessitate early detection of bearing issues to prevent catastrophic failures.
- Bearings experience rapid temperature fluctuations during operation, posing a challenge for traditional monitoring methods.
Purpose of the Study:
- To develop and evaluate a thin film thermocouple temperature sensor for real-time measurement of train bearing rolling element temperatures.
- To assess the sensor's performance characteristics, including linearity, Seebeck coefficient, fitting error, repeatability, and dynamic response time.
Main Methods:
- Utilized DC pulse magnetron sputtering to deposit Al2O3, NiCr, NiSi, and SiO2 films on an aluminum alloy substrate.
- Investigated the microstructure, static and dynamic characteristics, and repeatability of the deposited thin films.
- Integrated the adaptive film temperature sensor onto a bearing testing machine for rolling element temperature measurement.
Main Results:
- The developed sensor exhibits excellent linearity between 30-180 °C with a Seebeck coefficient of 40.69 μV/°C.
- Achieved a nonlinear fitting error below 0.29% and a maximum repeatability error of 4.55%.
- Demonstrated a rapid dynamic response time of 1.42 μs and measured rolling element temperatures 6-10 °C higher than the outer ring.
Conclusions:
- The thin film thermocouple temperature sensor is effective for real-time monitoring of bearing rolling element temperatures.
- The sensor's performance metrics indicate its suitability for detecting critical temperature variations in high-speed train bearings.
- This technology can provide crucial data for predictive maintenance and enhance the safety of railway operations.
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