反射(计算机编程)
方位(导航)
材料科学
补偿(心理学)
超声波传感器
校准
反射系数
声学
过程(计算)
机油压力
复合材料
磨坊
轧机
机械工程
光学
计算机科学
工程类
程序设计语言
操作系统
人工智能
物理
精神分析
统计
数学
心理学
作者
Fei Shang,Bo Sun,Shaofeng Wang,Yongquan Han,Wenjing Liu,Ning Kong,Yuwu Ba,Fengchun Miao,Zhendong Liu
出处
期刊:Lubricants
[MDPI AG]
日期:2024-04-07
卷期号:12 (4): 125-125
被引量:3
标识
DOI:10.3390/lubricants12040125
摘要
Rolling mill bearings are prone to wear, erosion, and other damage characteristics due to prolonged exposure to rolling forces. Therefore, regular inspection of rolling mill bearings is necessary. Ultrasonic technology, due to its non-destructive nature, allows for measuring the oil film thickness distribution within the bearing during disassembly. However, during the process of using ultrasonic reflection coefficients to determine the oil film thickness and distribution state of rolling mill bearings, changes in bearing temperature due to prolonged operation can occur. Ultrasonic waves are susceptible to temperature variations, and different temperatures of the measured structure can lead to changes in measurement results, ultimately distorting the results. This paper proposes using density and sound speed compensation methods to address this issue. It simulates and analyzes the oil film reflection coefficients at different temperatures, ultimately confirming the feasibility and effectiveness of this approach. The paper establishes a functional relationship between bearing pressure and reflection coefficients, oil film thickness, and reflection coefficients. This allows for the compensation of reflection coefficients under any pressure conditions, enhancing the accuracy of oil film thickness detection. The proposed method provides technical support for the maintenance of plate rolling processes in the steel industry.
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