首页|Simulation analysis of wear characteristics of connecting rod bearing bush based on improved mixed lubrication model
Simulation analysis of wear characteristics of connecting rod bearing bush based on improved mixed lubrication model
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国家科技期刊平台
NETL
NSTL
万方数据
维普
The failure rate of crankpin bearing bush of diesel engine under complex working conditions such as high temperature, dynamic load and variable speed is high. After serious wear, it is easy to deteriorate the stress state of connecting rod body and connecting rod bolt, resulting in serious acci-dents such as connecting rod fracture and body damage. Based on the mixed lubrication characteris- tics of connecting rod big endbearing shell of diesel engine under high explosion pressure impact load, an improved mixed lubrication mechanism model is established, which considers the influence of viscoelastic micro deformation of bearing bush material, integrates the full film lubrication model and dry friction model, couples dynamic equation of connecting rod. Then the actual lubrication state of big end bearing shell is simulated numerically. Further, the correctness of the theoretical re-search results is verified by fault simulation experiments. The results show that the high-frequency impact signal with fixed angle domain characteristics will be generated after the serious wear of bear- ing bush and the deterioration of lubrication state. The fault feature capture and alarm can be real- ized through the condition monitoring system, which can be applied to the fault monitoring of con-necting rod bearing bush of diesel engine in the future.
mixed lubrication modelconnecting rod bearing bushwearfault featurecon-dition monitoring
Beijing Changcheng Aeronautic Measurement and Control Technology Research Institute,Beijing 100176,P.R.China
State Key Laboratory of Tribology,Tsinghua University,Beijing 100084,P.R.China
Beijing Key Laboratory of Health Monitoring and Self-Healing of High-end Mechanical Equipment,Beijing University of Chemical Technology,Beijing 100029,P.R.China
National Natural Science Foundation of ChinaAeronautical Science Foundation
国家科技期刊平台
NSTL
万方数据
维普
