反冲
扭矩
噪音(视频)
控制理论(社会学)
动力传动系统
灵敏度(控制系统)
工程类
汽车工程
计算机科学
物理
机械工程
电子工程
控制(管理)
人工智能
图像(数学)
热力学
作者
Ata Donmez,Ahmet Kahraman
标识
DOI:10.1177/14644193221134322
摘要
Rattling is a perennial gear noise problem observed in various powertrain components ranging from manual transmissions to engine balancers and timing gear trains. Under lightly loaded conditions, gear systems that are subjected to input and/or output torque fluctuations exhibit vibro-impacts as tooth separations and coast-side contacts take place in the presence of backlash. Experimental set-ups that can impose tightly controlled torque fluctuations to single or multi-mesh gear train are used here to determine the sensitivity of the rattling noise levels to the magnitudes of backlash within wide ranges of torque fluctuation parameters. Torsional discrete models of the experimental set-ups were used to simulate these rattling motions and to predict impact velocity-based rattle severity indexes as a function of both excitation parameters and backlash magnitudes. Single-mesh results show that the larger backlash values result in higher noise levels in most of the cases. In case of double-mesh systems, the resultant noise levels and the corresponding rattle indices exhibit different sensitivities to backlash magnitudes depending on the excitation conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI