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Low Friction Simulation Analysis And Optimization Design Of Piston Ring-Cylinder Liner Structure In Combustion Engine

Posted on:2019-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2382330545950651Subject:Power Engineering and Engineering Thermophysics
Abstract/Summary:PDF Full Text Request
In the process of industrial producing,manufacturing and operating,the direct or indirect energy and economic losses caused by friction can not be ignored.As the most common source of power in industry,the research of lubrication performance and tribological design have always been the hot issues.In this paper,the lubrication model between piston ring and cylinder liner is established,and the lubrication performance between piston ring and cylinder liner of a certain type of engine is analyzed and optimized.The main contents and conclusions are as follows:1)The study on the lubrication performance between piston ring and cylinder liner at home and abroad is analyzed.Then the first gas ring and cylinder liner in the engine piston ring group is considered as the object of this study.And the influence of the structural parameters of the first piston ring on the lubricity is analyzed and the piston ring structure is also optimal designed.2)Based on the theory of hydrodynamic lubrication and the physical model of piston ring and cylinder,the lubrication simulation model of piston ring cylinder liner is established.And this model is proved to be available by experiment.Then the influence of important structural parameters of the piston ring such as barrel height,radial thickness,axial height,offset,close gap and elastic force are obtained and analyzed.3)The genetic algorithm is used to optimize the BP neural network,and the BP neural network is trained by orthogonal test.Then the trained BP neural network is used to predict the structure parameters of the piston ring corresponding to the piston ring surface under the minimum friction loss power.The results of the optimal structure parameters and the original structure parameters are compared and analyzed.It show that the optimized friction loss power is 14.54% lower than that before optimization,and the optimization effect is obvious,and the optimization design requirements are reached.
Keywords/Search Tags:piston ring cylinder liner, structural parameters, simulation, genetic algorithm, BP neural network, orthogonal test, lubrication performance
PDF Full Text Request
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