Affiliation:
1. Department of Mechanical System Engineering, School of Creative Convergence Engineering, Dongguk University—WISE Campus, Gyeongju 38066, Republic of Korea
Abstract
This study aimed to improve the sensitivity of ferrous particle sensors used in various mechanical systems such as engines to detect abnormalities by measuring the number of ferrous wear particles generated by metal-to-metal contact. Existing sensors collect ferrous particles using a permanent magnet. However, their ability to detect abnormalities is limited because they only measure the number of ferrous particles collected on the top of the sensor. This study provides a design strategy to boost the sensitivity of an existing sensor using a multi-physics analysis method, and a practical numerical method was recommended to assess the sensitivity of the enhanced sensor. The sensor’s maximum magnetic flux density was increased by around 210% compared to the original sensor by changing the core’s form. In addition, in the numerical evaluation of the sensitivity of the sensor, the suggested sensor model has improved sensitivity. This study is important because it offers a numerical model and verification technique that may be used to enhance the functionality of a ferrous particle sensor that uses a permanent magnet.
Funder
Korea Institute of Energy Technology Evaluation and Planning
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference37 articles.
1. Advancement and current status of wear debris analysis for machine condition monitoring: A review;Kumar;Ind. Lubr. Tribol.,2013
2. Lit Literature review of machine condition monitoring with oil sensors—Types of Sensors and their functions;Hong;Tribol. Lubr.,2020
3. Hong, S.H., and Jeon, H.G. (2022). Monitoring the conditions of hydraulic oil with integrated oil sensors in construction equipment. Lubricants, 10.
4. Hong, S.H. (2021). Machine Condition Diagnosis Based on Oil Analysis—Fundamental Course, Hanteemedia. [1st ed.].
5. Fasihi, P., Kendall, O., Abrahams, R., Mutton, P., Qiu, C., Schlafer, T., and Yan, W. (2022). Tribological properties of laser cladded alloys for repair of rail components. Materials, 15.
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