TOOL PATH OPTIMIZATION WITH HIGH EFFICIENCY AND LOW ENERGY CONSUMPTION IN BALL-END CUTTER MILLING BASED ON HYBRID ALGORITHM

Abstract

In order to realize high efficiency and energy saving in surface milling,this paper takes surface milling as an example to study the optimization method milling path of ball milling cutter based on hybrid algorithm. First of all,considering the spindle speed,feed,surface quality and the actual constraints of no repeat tool,a tool path optimization model with the goal of high efficiency and energy saving was established. According to the workpiece processing requirements,the surface is discretized to obtain a reasonable number of knife contact points. The crossover,mutation and reversal operations of genetic algorithm are introduced to improve the particle swarm optimization algorithm. Finally,the effectiveness of the proposed method is verified by two semi-finishing experiments.