기어박스에서 점도의 변화에 의한 철분마모센서의 감도 평가
Evaluation of Sensitivity of a Ferrous Particle Sensor with Variation of Viscosity in Gearbox Systems
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초록
This study evaluates the sensitivity of a ferrous particle sensor in response to changes in viscosity in a gearbox. Composed of various gears, the gearbox typically occurs significant ferrous wear due to gear contact. Condition monitoring is primarily implemented by measuring the number of ferrous wear particles in the lubricant. Gearboxes are critical in many systems, including wind turbines, for facilitating changes in speed and torque. Therefore, technology to monitor ferrous particles in gearboxes is essential. In this study, a simplified gearbox is numerically modeled to assess sensor sensitivity based on viscosity and sensor position. Three sensor positions are considered: one directly beneath the gear and two at locations farther from the gear. Analyses are conducted using lubricants with low viscosity and gear oil. Sensor sensitivity is defined by the number of ferrous particles adhering to the sensor, where more particles indicated higher sensitivity. The evaluation reveals that the position directly beneath the gear exhibits the highest sensitivity due to direct influence from the main flow. To achieve optimal sensitivity, sensors should be installed in the main flow path as determined by flow analysis. Evaluation of sensor sensitivity with changes in viscosity shows that a higher viscosity results in a lower sensor sensitivity. Therefore, for ease of analysis, performing an analysis under low-viscosity conditions is useful for understanding the main flow and for identifying the optimal location for proper sensor position.
Abstract
This study evaluates the sensitivity of a ferrous particle sensor in response to changes in viscosity in a gearbox. Composed of various gears, the gearbox typically occurs significant ferrous wear due to gear contact. Condition monitoring is primarily implemented by measuring the number of ferrous wear particles in the lubricant. Gearboxes are critical in many systems, including wind turbines, for facilitating changes in speed and torque. Therefore, technology to monitor ferrous particles in gearboxes is essential. In this study, a simplified gearbox is numerically modeled to assess sensor sensitivity based on viscosity and sensor position. Three sensor positions are considered: one directly beneath the gear and two at locations farther from the gear. Analyses are conducted using lubricants with low viscosity and gear oil. Sensor sensitivity is defined by the number of ferrous particles adhering to the sensor, where more particles indicated higher sensitivity. The evaluation reveals that the position directly beneath the gear exhibits the highest sensitivity due to direct influence from the main flow. To achieve optimal sensitivity, sensors should be installed in the main flow path as determined by flow analysis. Evaluation of sensor sensitivity with changes in viscosity shows that a higher viscosity results in a lower sensor sensitivity. Therefore, for ease of analysis, performing an analysis under low-viscosity conditions is useful for understanding the main flow and for identifying the optimal location for proper sensor position.
참고문헌 (12)
- Velmurugan, R. S., "Maintenance strategy selection and its impact in maintenance function : A conceptual framework", Int. J Oper. Prod. Manag, 35, pp.1622~1661 (2015)[DOI]
- Simeu-Abazi, Z., "Maintenance integration in manufacturing systems : from the modeling tool to evaluation", Int. J Flex. Manuf. Syst, 13, pp.267~269 (2001)[DOI]
- Kumur, P., "Misalignment effect on gearbox failure : An experimental study", Measurement, 169, pp.108492~108411 (2021)[DOI]
- Luo, J., "Enhancement of oil particle sensor capability via resonance-based signal decomposition and fractional calculus", Measurement, 76, pp.240~215 (2015)[DOI]
- Hong, S. H., "Numerical Approach and Verification Method for Improving Sensitivity of Ferrous Particle Sensors with Permanent Magnet", Sensors, 23, pp.5381~ (2023)[DOI]
- Hong, S. H., "Numerical Analysis for Appropriate Positioning of Ferrous Wear Debris Sensors with Permanent Magnet in Gearbox Systems", Sensors, 23, pp.810~ (2024)[DOI]
- Zhu, X., "Lubricating oil condi-tion sensors for online machine health monitoring – A review", Tribol. Int, 109, pp.473~484 (2017)
- Hong, S. H., "Literature Review of Machine Condition Monitoring with Oil Sensors-Types of Sensors and Their Functions", Tribol. Lubr, 36(6), pp.297~306 (2020)[DOI]
- Li, W., "Design and research of inductive oil pollutant detection sensor based on high gradient magnetic field structure", Micromachines, 12, pp.638~ (2021)[DOI]
- Zeng, L., "Monitoring of non-ferrous debris in hydraulic oil by detecting the equivalent resistance of inductive sensors", Micromachines, 9, pp.117~118 (2018)[DOI]
- Hong, S. H., "Assessment of condition diagnosis system for axles with ferrous particle sensor", Materials, 16, pp.1426~1416 (2023)[DOI]
- Flanagan, I. M., "Wear-debris detection and analysis techniques for lubricant-based condition monitoring", J. Phys. E. Sci. Instrum, 21, pp.1011~1016 (1988)