Optimization of machining efficiency and side quality in irregular sheet metal parts milling based on improved multi-objective seagull optimization algorithm

The machining trajectory of the irregular contour is usually discretized into straight lines and arcs, and process parameters selection affects the quality and efficiency of irregular sheet metal parts machining. To guide parameters selection of irregular sheet metal parts milling, a multi-objective optimization framework for efficiency and side machining quality is constructed. In the framework, to improve the modeling accuracy and reduce modeling cost, the theory-data coupled models of side roughness for straight line, convex arc and concave arc constructed, respectively. Aiming at the problems of single search method and susceptibility to local optima in the standard multi-objective seagull optimization algorithm (MOSOA), an improved MOSOA (MOSOA_improve) is proposed to solved the multi-objective optimization model of side quality and efficiency developed by the coupled model of side roughness and the empirical formula of the material removal rate. The effectiveness of coupled models and MOSOA_improve in multi-objective optimization of irregular sheet metal parts milling are verified by the actual machining.