Accurate Preparation Of Mesoscopic Geometric Characteristics Of Ball End Milling Cutter And Optimization Of Cutting Performance

In the machining of titanium alloy materials,there are many problems,such as large cutting force,low machining efficiency and serious tool wear.The surface micro texture can effectively reduce the friction between tool and workpiece,and reduce the cutting temperature.In this paper,starting from the precise preparation of micro texture by laser processing technology,the following research has been carried out with the ball end milling cutter milling titanium alloy as the research object.Firstly,the Gaussian heat source is used as the research object of laser heat source to establish the distribution model of temperature field inside the material and calculate the theoretical laser processing power.The laser processing experiment of micro texture on the surface of cemented carbide was carried out.The influence of different laser processing parameters on the size error of micro texture is analyzed by orthogonal experiment.The optimized laser processing parameters are: laser power P = 40 w,scanning speed V = 1700mm/ s,scanning times N = 7,spot diameter D = 40?m.Secondly,ANSYS is used to simulate the process of laser micro texture preparation,and the material temperature field in the laser area is obtained and the material removal is simulated.Based on the simulation results of temperature field,the stress field simulation is carried out to explore the influence of laser processing parameters on the distribution of material equivalent stress field and its variation law.The accuracy of the influence of laser processing parameters on the micro texture size is verified.Thirdly,the orthogonal experiment with interaction is designed,and DEFORM-3D is used to simulate and analyze the cutting process of titanium alloy with micro textured ball head milling cutter with blunt edge.The influences of the radius of the blunt circle and the distribution of the micro texture on the milling force and temperature are studied.Fourthly,the experiment platform of titanium alloy cutting with micro textured ball end milling cutter with blunt edge is built.The optimized laser processing parameters are used to prepare the micro texture.The influences of the parameters of blunt radius and micro texture distribution on the actual milling force,milling temperature and tool wear are studied.Comparing the experimental results with the simulation results,the trend of the experimental results of milling force and milling temperature is basically consistent with the simulation results.Finally,the multi-objective optimization prediction model of ball end milling cutter is established with milling force and milling temperature as optimization objectives.Genetic algorithm is selected as the parameter optimization method,and C + + is used as the development language to implement the algorithm.The parameters optimized by genetic algorithm are: the blunt radius of the cutting edge is 20?m,the distance between the micro texture and the cutting edge is 110?m,the diameter of the micro texture is 30?m,and the distance between the micro texture is 175?m.The experimental results show that the error between the actual measured value and the predicted value is less than 10%,which proves the feasibility of parameter optimization.