Hole pattern optimization design of rough rolling process based on random forest model
Taking the rough rolling roller hole pattern as the optimization object,the factors affecting the wrinkle defects were analyzed,and an optimization design method of hole pattern parameters in rough rolling process based on random forest was proposed.Firstly,the three-di-mensional rolling thermal mechanical coupled finite element model was established using DEFORM-3D software to analyze the causes of wrin-kle defects and explore the influence parameters of wrinkle defects.Then,the machine learning model based on random forest algorithm was developed.The design database of the relationship between deformation temperature,hole pattern fillet size,groove bottom width,and fric-tion factor between roller and rolled parts and spread value was established.Combined with the constraints,the optimal solution of hole pattern parameters was obtained.Finally,the optimized hole pattern was verified.The research results show that when the groove bottom width bk is 165 mm and the fillet size R is 14 mm,the optimal solution is obtained,and the width spread is the smallest.After the optimized hole pattern for production,it is found that the wrinkle defects are eliminated,and the qualified rate of the finished product is obviously improved.
万方数据
维普
