Simulation Study On Turning Of Titanium Alloy TC4 Based On Finite Element Method

Residual stress is an important indicator of surface quality,the cutting parameters in turning three factors have an important influence on the surface roughness and residual stress,thus to improve the surface quality of the workpiece through the optimization of cutting parameters of three elements.Titanium alloy TC4 has the characteristics of high thermal strength and specific strength,better corrosion resistance,better low temperature properties,larger chemical activity and affinity,small elastic modulus E,and small cutting deformation during cutting,high cutting temperature,severe cold hard phenomenon and large resilience in cutting process.The poor machinability,so this paper chooses TC4 titanium alloy as the research object,and the residual stress in machined surface quality as the optimization of cutting parameters of three elements of characterization of workpiece.Using the simulation software Advant Edge as the research platform,a twodimensional orthogonal cutting finite element model is established.The simulation software is used to simulate the cutting process of the CBN cutting tool for dry turning titanium alloy TC4,and the influence of the three elements of the cutting amount on the cutting force,the cutting temperature and the residual stress of the workpiece surface is analyzed.The artificial neural network prediction model of the maximum residual tensile stress on the surface of TC4 on the three elements of the cutting parameters is established by using the simulation data.The prediction model is used as the objective function of the optimization of the genetic algorithm,and the three elements of the cutting amount are optimized.The maximum residual tensile stress of the surface is obtained by iterative calculation.The combination of three elements of cutting amount and the corresponding minimum maximum residual tensile stress on the surface.Finally,the matrix analysis method is used to optimize the multi-objective parameters for the simulation test results.The objective of optimization is to reduce cutting force,cutting temperature and maximum residual tensile stress at the same time.According to the calculated total weight matrix,the combination of the three factors that can reduce the optimal cutting parameters of the above three physical quantities at the same time,and the order of the cutting force,the cutting temperature and the maximum residual tensile stress of the workpiece surface is the main order of the three optimization targets: cutting speed,cutting depth and feed.