Research On Milling Performance Optimization Of V-groove Micro-textured Ball-end Milling Cutter

Titanium alloys generally have problems such as sticking cutter,large cutting force and poor heat dissipation during cutting.Research shows that machining micro-texture on tool surface can effectively improve the above problems.Therefore,this paper designs V-groove micro-texture based on biomimetic principle,builds simulation and test platform,analyses milling behavior of different V-groove micro-texture ball-end milling cutters in milling Titanium alloy and establishes prediction Model;optimization design of V-groove micro-texture based on simulated annealing algorithm and experimental verification provide research basis for efficient and high-quality processing of titanium alloy.The main contents of this paper are as follows:Firstly,based on theoretical and experimental research,the insertion position of micro-texture is determined,and based on biomimetic principle.Design V-groove micro-texture and determine opening direction;build simulation platform for single-factor simulation test,compare and analyze the mechanical-thermal characteristics of V-groove micro-texture ball-end milling cutter and non-texture ball-end milling cutter,and optimize the V-texture arrangement;based on orthogonal simulation test,analyze the influence of V-groove micro-texture parameters(opening angle,spacing,width,distance from the edge)on the force-thermal characteristics of carbide ball-end milling cutter.The influence of thermal characteristics.Then,based on the milling test,the cutting performance of V-groove micro-texture cutter and non-texture cutter are compared and analyzed,and the influence of different V-groove micro-texture parameters on the milling performance of ball-end milling cutter is also analyzed,and the optimization range of V-groove micro-texture parameters is obtained,which lays a data foundation for further optimization of V-groove micro-texture parameters.Finally,according to the comprehensive evaluation criteria of milling force,surface roughness of workpiece and tool wear,the data are pre-processed with the constraints of the range of V-groove micro-texture parameters selected from the test,and Lasso function is called by R language to get the multi-objective prediction model which is established with the objective of optimization of milling force,surface roughness of workpiece and tool wear.Based on simulation decomposition Fire algorithm program is used to optimize the micro-texture parameters of V-groove and verify them by experiment.