A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine
Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, which includes particle counting technology, as well as spectral and ferrography technology in offline monitoring. However, these technologies only analyze the characteristics of wear particles and re...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/12/7/748 |
| _version_ | 1827688690082643968 |
|---|---|
| author | Zhenzhen Liu Yan Liu Hongfu Zuo Han Wang Hang Fei |
| author_facet | Zhenzhen Liu Yan Liu Hongfu Zuo Han Wang Hang Fei |
| author_sort | Zhenzhen Liu |
| collection | DOAJ |
| description | Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, which includes particle counting technology, as well as spectral and ferrography technology in offline monitoring. However, these technologies only analyze the characteristics of wear particles and rely on physical and chemical analysis techniques to monitor the oil quality. In order to further advance offline monitoring technology, this paper explores the potential role of differences in wear particle kinematic characteristics in recognizing changes in wear particle diameter and oil viscosity. Firstly, a kinematic force analysis of the wear particles in the microfluid was carried out. Accordingly, a microfluidic channel conducive to observing the movement characteristics of particles was designed. Then, the wear particle kinematic analysis system (WKAS) was designed and fabricated. Secondly, a real-time tracking velocity measurement algorithm was developed by using the Gaussian mixture model (GMM) and the blob-tracking algorithm. Lastly, the WKAS was applied to a pin–disc tester, and the experimental results show that there is a corresponding relationship between the velocity of the particles and their diameter and the oil viscosity. Therefore, WKAS provides a new research idea for intelligent aeroengine lubricating oil monitoring technology. Future work is needed to establish a quantitative relationship between wear particle velocity and particle diameter, density, and oil viscosity. |
| first_indexed | 2024-03-10T10:02:13Z |
| format | Article |
| id | doaj.art-000d8a9c12074f1f9e80b06a6f823d4c |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T10:02:13Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-000d8a9c12074f1f9e80b06a6f823d4c2023-11-22T01:48:52ZengMDPI AGMicromachines2072-666X2021-06-0112774810.3390/mi12070748A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent AeroengineZhenzhen Liu0Yan Liu1Hongfu Zuo2Han Wang3Hang Fei4Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCivil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCivil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCivil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCivil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaLubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, which includes particle counting technology, as well as spectral and ferrography technology in offline monitoring. However, these technologies only analyze the characteristics of wear particles and rely on physical and chemical analysis techniques to monitor the oil quality. In order to further advance offline monitoring technology, this paper explores the potential role of differences in wear particle kinematic characteristics in recognizing changes in wear particle diameter and oil viscosity. Firstly, a kinematic force analysis of the wear particles in the microfluid was carried out. Accordingly, a microfluidic channel conducive to observing the movement characteristics of particles was designed. Then, the wear particle kinematic analysis system (WKAS) was designed and fabricated. Secondly, a real-time tracking velocity measurement algorithm was developed by using the Gaussian mixture model (GMM) and the blob-tracking algorithm. Lastly, the WKAS was applied to a pin–disc tester, and the experimental results show that there is a corresponding relationship between the velocity of the particles and their diameter and the oil viscosity. Therefore, WKAS provides a new research idea for intelligent aeroengine lubricating oil monitoring technology. Future work is needed to establish a quantitative relationship between wear particle velocity and particle diameter, density, and oil viscosity.https://www.mdpi.com/2072-666X/12/7/748aeroenginelubricating oil monitoringwear particle velocitymicrofluidic technology |
| spellingShingle | Zhenzhen Liu Yan Liu Hongfu Zuo Han Wang Hang Fei A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine Micromachines aeroengine lubricating oil monitoring wear particle velocity microfluidic technology |
| title | A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine |
| title_full | A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine |
| title_fullStr | A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine |
| title_full_unstemmed | A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine |
| title_short | A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine |
| title_sort | lubricating oil condition monitoring system based on wear particle kinematic analysis in microfluid for intelligent aeroengine |
| topic | aeroengine lubricating oil monitoring wear particle velocity microfluidic technology |
| url | https://www.mdpi.com/2072-666X/12/7/748 |
| work_keys_str_mv | AT zhenzhenliu alubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT yanliu alubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hongfuzuo alubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hanwang alubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hangfei alubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT zhenzhenliu lubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT yanliu lubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hongfuzuo lubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hanwang lubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine AT hangfei lubricatingoilconditionmonitoringsystembasedonwearparticlekinematicanalysisinmicrofluidforintelligentaeroengine |