Ultrasonic reflection-based transient temperature gradient inversion for compensating oil film thickness measurement

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Yaping Jia , Shiyuan Chang , Yonggang Xia , Tonghai Wu , Peiping Yang , Pan Dou , Min Yu
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引用次数: 0

Abstract

The propagation nature of sonic waves in a temperature gradient field is often simplified with uniform temperature assumptions, resulting in compensation errors in ultrasonic-based oil film measurement. Focusing on this, a novel compensation method of inverting the temperature gradient via ultrasonic signal is proposed. For thrust bearings, the time shift of the reflected signal from the substrate-coating interface is adopted as the inversion index for the heat source. Numerically, the temperature gradient can be derived by solving the heat conduction equation using the finite difference method, then the ultrasound time shift can be theoretically obtained by substituting the acoustic characteristics into each temperature node. In practice, with the measured time shift of the reflection signal, the temperature gradients can be inverted after iterative solutions of the theoretical model. The measurement effectiveness of temperature and oil film thickness have been experimentally validated using a thrust bearing rig, where the ultrasound measurement results were compared with data from thermometric sensors and eddy current sensors.

Abstract Image

基于超声反射的瞬态温度梯度反演补偿油膜厚度测量
在温度梯度场中,声波的传播特性往往被简化为均匀温度假设,导致基于超声的油膜测量存在补偿误差。针对这一问题,提出了一种利用超声信号反演温度梯度的补偿方法。对于推力轴承,采用基底-涂层界面反射信号的时移作为热源的反演指标。数值上,利用有限差分法求解热传导方程得到温度梯度,然后将声学特性代入各温度节点,理论上得到超声时移。在实际应用中,利用测量到的反射信号时移,可以对理论模型进行迭代求解后反演温度梯度。在推力轴承实验台上,通过实验验证了超声测量温度和油膜厚度的有效性,并将超声测量结果与温度传感器和涡流传感器的数据进行了比较。
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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