Multi-objective optimization of gear forging process based on adaptive surrogate meta-models
In forging industry.net shape or near net shap e forging of gears h as been the subject of considerable research effort in the last few decades.So in this paper,a multi-objective optimization methodology of net shape gear forging process design h as been discussed.The study is mainly done in four parts: building parametric CAD geometry model,simulating the forging process.fitting surrogate meta-models and optimizing the process by using an advanced algorithm.In order to maximally appropriate meta-models of the real response,an adaptive meta-model based design strategy has been applied.This is a continuous process: first,bui ld a preliminary version of the meta- models after the initial simulated calculations; second,improve the accuracy and update the meta-models by adding some new representative samplings.By using this iterative strategy,the number of the initial sample points for real numerical simulations is greatly decreased and the time for the forged gear design is significantly shortened. Finally,an optimal design for an industrial application of a 27-teeth gear forging process was introduced,which includes three optimization variables and two objective functions.A 3D FE nu merical simulation model is used to realize the process and an advanced thermo-elasto-visco-plastic constitutive equation is considered to represent the m aterial behavior.The meta-model applied for this example is kriging and the optimization algorithm is NSGA-Ⅱ.At last,a relatively better Pareto optimal front (POF) is go tten with gradually improving the obtained surrogate meta- models.
Forging FE Numerical Simulation Multi-objective Optimization Adaptive Meta-model Pareto Optimal Front
Fanjuan MENG Carl LABERGERE Pascal LAFON Laurent DANIEL
University of Technology of Troyes,Institute Charles Delaunay-LASMIS UMR STMR CNRS 6279,12 rue Marie Curie,CS 42060,10004,Troyes Cedex-France
国际会议
沈阳
英文
637-643
2013-07-06（万方平台首次上网日期，不代表论文的发表时间）