Optimization of surface flatness of multi-pass cladding layer based on BO-RF
In order to coat the surface of 20Cr13 martensitic stainless steel with multiple layers of high flatness 15-5PH alloy powder cladding layer,a method for optimizing the process parameters of 15-5PH alloy powder laser cladding based on Bayesian optimization and random forest regression was proposed.A full factorial experiment with three factors and five levels was designed with laser power,scanning speed and powder feeding rate,and a BO-RF regression prediction model for process parameters and single pass cladding layer morphology was constructed.Multi objective optimization of single-pass laser cladding process parameters was carried out using the NSGA-Ⅱ algorithm to obtain the Pareto optimal solution set,and the Pareto solution set was comprehensively evaluated by TOPSIS combined with EWM.Based on the single-pass cladding layer morphology and flat-top overlap model,the overlap rate of single-layer multi-pass laser cladding was calculated,and the optimal combination of process parameters was determined for process experiments.The results show that the surface flatness of the cladding layer prepared with the optimal process parameters reaches 83.5%.Using this optimization method for multi-pass laser cladding can improve the surface smoothness of the cladding layer and reduce subsequent machining allowances.