Optimization of Laser Cladding Process Parameters Pased on Multi-objective Particle Swarm Optimization Algorithm
Based on the RBF regression fitting model,a multi-objective optimization process parameter model for laser cladding is estab-lished,and the optimization variables,objectives,and corresponding constraint conditions of the model are established.Multi objective par-ticle swarm optimization is adopted for process parameter optimization and optimal solution search,thus obtaining the optimal solution set of three sets of process parameters.By performing mean processing on three sets of optimal solutions,the results showed that the surface rough-ness after optimization can be improved by 19％,the cladding efficiency can be increased by 26％,and the pore area can be reduced by 34％compared to before optimization.
万方数据
维普
