Experimental Study On High Speed Milling Of TC17 Titanium Alloy

TC17 titanium alloy is a kind of α+β Type titanium alloy,and it contains rich and stable βDue to its excellent high strength,good fracture toughness,wide temperature range for forging,and high hardenability,type C elements can be used in most industrial sectors such as aviation and aerospace,and are mainly used in manufacturing large section forgings,compressor discs,and engine fans.However,due to its difficult processing characteristics: poor thermal conductivity,strong chemical activity,and so on.This leads to phenomena such as high cutting force,high cutting temperature,severe tool wear,and work hardening during the milling process,all of which can lead to problems with the surface quality of the processed parts.Therefore,studying the milling performance of TC17 titanium alloy and selecting reasonable processing parameters are of great significance for improving the quality of parts.With the rapid development of high-speed cutting technology,it not only performs well in processing conventional workpiece,but also has a good performance in processing difficult to process materials such as titanium alloy.This paper analyzes the changes in milling force,surface roughness,and work hardening of TC17 titanium alloy material under different milling parameters through high-speed milling experiments.The main content is:By establishing a milling force model related to milling speed,the effects of milling speed and feed rate per tooth on the three-dimensional milling force were analyzed based on the data obtained from a single factor milling experiment.The milling force coefficient was obtained by combining the experimental results.Based on the milling force coefficient,a milling force prediction model was established and its rationality was verified.Through the design of orthogonal experiments with four factors and five levels,the surface roughness and surface hardness of materials after high-speed milling were analyzed and studied.The changes in surface roughness and surface hardness under different milling parameters,as well as the impact of various parameters on them,were obtained,and the optimal parameter combination for low surface roughness was obtained.At the same time,the micro morphology of the chips under different milling speeds was studied,and the change of the hardened layer on the machined surface was analyzed.The result was that the surface layer of the material experienced a change of thermal softening,work hardening,and stabilization.By constructing a PSO-LSSVM milling force prediction model and a surface roughness prediction model,the milling force and surface roughness are predicted and analyzed.At the same time,by establishing an empirical formula model for surface roughness and comparing and analyzing the PSO-LSSVM surface roughness prediction model,it is obtained that the average error of the results of the PSO-LSSVM milling force prediction model does not exceed4%,The average error of the PSO-LSSVM surface roughness prediction model results is 2.49%,which is better than the average error of the surface roughness empirical formula model results4.74%.