| In the process of titanium alloy cutting,passivate the cutting edge and place micro-texture on the rear face can effectively improve the surface quality of the workpiece,slow down the wear of the tool and reduce the cutting force and cutting temperature.This paper takes the micro-texture ball-end milling cutter milling titanium alloy as the breakthrough point,analyzes the influence law of the ball-end milling cutter’s mesoscopic geometric characteristics on the milling performance of the cutter,and optimizes the mesoscopic geometric characteristic parameters based on genetic algorithm,so as to realize high-efficiency and high-quality processing of titanium alloy.The main contents of this paper are as follows:Firstly,the theoretical analysis model of ball-end milling cutter milling titanium alloy is established.Based on the idea of micro-element,the influence law of cutting edge on the cutting performance of ball-end milling cutter is deduced.At the same time,the action mechanism of the flank,the formation mechanism of the machined surface and the generation mechanism of chips in the machining process are analyzed,and the influence mechanism of the micro-texture of the flank on the cutting process is revealed,which provides a theoretical basis for finite element simulation and experiment.Based on Deform software,the finite element simulation of titanium alloy milling process by ball-end milling cutter is carried out,and the influence law of mesoscopic geometric characteristic parameters on cutting force and cutting temperature is analyzed.The influence of different mesoscopic geometric feature parameters on the cutting performance of tools is compared to provide reference for the optimization of mesoscopic geometric features.Orthogonal experiments were designed to analyze the effect of mesoscopic geometric characteristics on milling behavior of ball-end milling cutter through experiments of milling titanium alloy with micro-texture ball-end milling cutter,and reveal its mechanism of action.At the same time,it lays a data foundation for the optimization of mesoscopic geometric characteristic parameters.Finally,a multi-objective optimization model of ball-end milling cutter milling behavior is established.The optimization results of mesoscopic geometric characteristic parameters are obtained by using genetic algorithm program in MATLAB. |