Optimization of 42CrMo ultrasonic rolling extrusion process parameters based on AMGA and IPSO algorithm
To determine the optimal solution set of process parameters of ultrasonic rolling extrusion bearing ring,the orthogonal tests were designed taking 42CrMo steel as the research object,surface roughness,residual compressive stress and hardness as the surface per-formance evaluation indicators.Based on the test data,the multiple regression method was used to establish the mathematical prediction model for evaluation indicators and the variance analysis was carried out.The archived microgenetic algorithm(AMGA)and improved parti-cle swarm optimization(IPSO)algorithm were used to optimize the parameters of ultrasonic rolling extrusion,and the Pareto frontier diagrams and computational efficiency were compared and analyzed.The results show that in the Pareto frontier diagrams,the optimal iteration 2000 times of AMGA is better than the optimal iteration 3600 times of IPSO algorithm.The optimal solution set of ultrasonic rolling extrusion process param-eters is obtained:rotation speed of[250,355]r·min-1,feed speed of[13,24]mm·min-1,amplitude of[16,22]μm,static pressure of[488,650]N.The optimal solution set of surface performance evaluation indexes:surface roughness of[0.398,0.501]μm,residual compressive stress of[823,986]MPa,hardness of[713,742]HV.The reliability and accuracy of algorithm optimization were verified by tests.
ultrasonic rolling extrusionmultiple regression methodvariance analysisAMGAIPSO algorithm
NETL
NSTL
万方数据
