Wear Numerical Simulation and Life Prediction of Microstructure Surface Unfolding Wheel for Steel Ball Inspection

Pan, Chengyi; Li, Xia; Wang, Hepeng; Zhao, Yanxing; Xiang, Jianhua; Cui, Sihai; Bao, Yudong

doi:10.1007/978-981-32-9941-2_43

Cited by 1 publication

(1 citation statement)

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“…Cai et al 8 performed both experimental and numerical analyses of polygonal wear in high-speed trains and found that the magnitude of the wear depth and the phase difference between the change in wear depth and the original polygon both play important roles in enlarging the polygon. Pang et al 9 analyzed the wear profile and the wear mechanism of a nonrolling wheel on a driving surface and then simulated the wear caused by a nonrolling wheel on a smooth surface and the microstructure of the nonrolling wheel surface using ANSYS software. The relationship between wear depth and the number of wear times was obtained and their model was validated using real-world examples.…”

Section: Introductionmentioning

confidence: 99%

Wear of sprag clutch wedge in overrun state under high temperature condition

Yan

Lin

et al. 2021

Advances in Mechanical Engineering

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A formula is proposed based on Archard’s wear model to calculate wedge wear depth in a positive continuous engagement (PCE)-type sprag clutch with double-disc inner cam wedge in the overrun state. Methods to solve for the equation parameters are proposed. Using a sprag clutch with an M50 steel wedge as an example, wedge wear depth variation over time under high temperatures was analyzed. An easy-to-clamp wedge was designed and a high-temperature abrasion testing machine was used to test the wedge. The worn surface profile was observed using a three-dimensional profiler and the wedge wear depth was obtained. The effects of lubrication, temperature and speed on wear were analyzed using mixed-level orthogonal experimental design. Results show that the theoretical values are consistent with test values. Therefore, the model can be used to calculate wear accurately for the overrunning sprag clutch. Lubrication affects wear depth significantly, whereas temperature has a smaller effect and speed has very little influence. Within the experimental scope, when the temperature increased by 1°C, the wear depth increased by approximately 0.0145 μm and when the speed increased by approximately 1 time/minute, the wear depth increased by 0.00854 μm. These results provide theoretical support for optimal sprag clutch design.

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Section: Introductionmentioning

confidence: 99%