Micro-textured Distribution Design And Parameter Optimization Of Ball-end Milling Cutter Under Stable Milling Conditions

Due to the high specific strength,high temperature resistance and other excellent properties of titanium alloy,it is widely used in many fields,and its position is detached.However,due to the low thermal conductivity of titanium alloy and active chemical activity,the cutting heat is easy to concentrate during the machining process.The surface adhesion phenomenon is serious and the tool wear is accelerated.In titanium alloy processing,because the tool and the workpiece are not rigid,chattering problems will occur during processing,which affects the processing efficiency and the quality of the workpiece.These problems need to be solved urgently.In recent years,the continuous development of bionic tribology has provided new ideas.Studies have shown that the preparation of bionic microstructures with a certain shape,size and distribution on the surface of the tool can play a role in anti-wear and anti-friction.The solution of the flutter problem mostly relies on the drawing of the stable lobe diagram.Based on this,this article first draws the stability lobe diagram based on the dynamic model of the ball-end milling titanium alloy milling to obtain the cutting parameters in the stable region;establishes the micro-texture distribution model under different cutting depths;studies the micro-texture parameters under variable cutting parameters The law of influence on milling performance;optimize parameters based on artificial bee colony algorithm.First,according to the geometric model of the ball end milling titanium alloy milling,the ball end milling cutter milling titanium alloy milling force model is derived,and then the milling dynamics model is established based on the regenerative chatter theory,and the milling force parameters and modal parameters are obtained by experimental means.Use Matlab to draw a titanium alloy milling stability vane diagram,carry out related stability analysis,and obtain cutting parameters in the stable domain.Provide theoretical and data basis for the solution of flutter problem.Secondly,in order to insert the micro-texture on the rake face of the ball-end milling cutter,the tool-chip contact area is theoretically analyzed,and the microtexture placement area is theoretically determined,and then verified by the ball-end milling titanium alloy test.Then the micro-texture placement area is determined;in order to obtain the relationship between the cutting parameters and the micro-texture parameters,the micro-texture distribution model at different cutting depths is established.Thirdly,based on the micro-texture distribution model at different cutting depths,a micro-textured ball-end milling cutter was designed for milling titanium alloy experiments,and the same micro-textured ball-end milling cutter was processed by laser equipment,and then the milling test was carried out and the collection test was performed.Among them,the milling force and milling temperature are tested by related instruments to detect tool wear and workpiece surface roughness,analyze the influence of micro-texture parameters on milling performance under variable cutting parameters,and reveal its influence mechanism.Finally,based on the test and inspection data results,the support vector regression machine was used to optimize the relevant data;The parameters are optimized based on the Matlab artificial bee colony algorithm,and finally the optimal parameter combination under the evaluation index is obtained.