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Finite Element Numerical Simulation Of Power Spinning Process And Optimization Of Process Parameters

Posted on:2015-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:Z G FengFull Text:PDF
GTID:2252330428458729Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Engine connecting rod bushing is a part that is connect to the piston pin and connectingrod small end. Its role is to avoid direct contact between connecting rod small end and pistonpin to prevent stress concentration and failure. Power spinning process is a process with lessmachining, which combines the forging, extrusion, stretching, bending, rolling and othercharacteristics of the process. It has advantages of good mechanical properties, high workpiece dimensional accuracy, surface quality and other characteristics. At present, the powerspinning process is used in high pressure rod bushing production. This can significantlyimprove the tensile strength and surface hardness, so as to meet the need of high pressure andlarge power diesel engines better. Thus,the research of the process of power spinning rodbushing has the important theory significance and the use value.In this paper, the process optimization problem of power spinning is studied based onnumerical simulation. The effect of process parameters on the forming quality is analyzed,and the optimization model is established based on BP neural network and genetic algorithms.The influence of power spinning process parameters (wall thinning rate, spin the wheelforming angle, spin round the corner radius, the feed ratio) on the forming quality is gainedthrough the simulation method of single factor rotation and orthogonal experiment. And thedesign variables of optimization model are determined by some process parameters which arescreened from the process parameters and affected significantly.The predictive model of power spinning forming quality is obtained based on BP neuralnetwork technology, which can establish the nonlinear function of power spinning processparameters and quality. As taking the nonlinear for fitness function, genetic algorithm is usedto process the global parameter optimization. And the optimal combination of process parameters of a certain type of rod bushing is obtained. The experimental results show thatthis method can effectively improve the quality of products, improve the efficiency of processoptimization.
Keywords/Search Tags:power spinning, numerical simulation, optimization of process parameters, BPneural network, Genetic Algorithms
PDF Full Text Request
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