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| Characterization of the influence of bubbles on copper particle signal in electromagnetic abrasive detection |
| GUO Mingyuan1,2,PANG Xinyu1,2,WANG Shuo3,CUI Shijie4,LÜ Kaibo1,2,LI Feng5 |
1. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
2. Shanxi Provincial Key Laboratory of Coal Mine Fully Mechanized Mining Equipment, TUT,
Taiyuan, Shanxi 030024, China
3. Key Laboratory of Modern Design and Rotor Bearing System, Ministry of Education, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
4. Shanxi Keda Automatic Control Co., Ltd., Taiyuan, Shanxi 030006, China
5. College of Aeronautics and Astronautics, TUT, Jinzhong, Shanxi 030600, China |
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Abstract Three-coil electromagnetic abrasive sensor is widely used in oil online monitoring, and the bubbles in the oil are easy to interfere with the detection of copper particles, and the quantitative analysis of the influence of bubbles in particle detection will help to improve the detection accuracy of electromagnetic abrasive sensors. Based on the magnetic coupling effect in the detection of electromagnetic abrasive particles, the influence characteristics of bubble gap, bubble size, bubble position and number of bubbles on the detection of copper particles were studied, and the electromagnetic abrasive sensor with large diameter channel (38mm) was simulated and tested. The results show that the larger the gap between the bubble and the copper particles, the smaller the signal amplitude of the copper particles, and the influence range is (0.52~10.31)%. The signal amplitude of copper particles also increased when the bubble size increased, and the influence of bubble diameter was 3.07% and 5.47% when the bubble diameter was 20mm and 25mm, respectively. The larger the angle between the center line of the bubble and the copper particle and the center axis of the sensor, the smaller the detection impact, and the influence range is (0.4~5.6)%; The greater the number of bubbles, the greater the disturbance, and the influence degree of single and double bubbles was 5.66% and 8.74%, respectively.
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Received: 13 December 2023
Published: 30 September 2024
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| Fund:National Natural Science Foundation of China;Key R&D projects in Shanxi Province;Shanxi Province Basic Research Program Project |
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2024, Vol. 45 
