Multi-objective optimization of process parameters for ultrasonic rolling extrusion of 42CrMo material

To choose the most suitable method to solve process parameter optimization of ultrasonic rolling extrusion, 42CrMo material was taken as research object. Based on a four-factor five-level orthogonal experiment, response surface used establish prediction models roughness, residual stress, and work hardening degree. obtain better Pareto front, resulting in distribution convergence solution set, simulated annealing algorithm, particle swarm optimization, second-generation non-dominated sorting genetic algorithm multi-island were optimize parameters extrusion. Comparing effect with calculation efficiency, is finally selected extrusion parameters, domain obtained. The model tested verified. results showed that best achieved after 3000 iterations, maximum relative error experimental calculated values for degree stress optimized controlled within 5%. established multi-objective has high accuracy application value, can realize parameters.