Finite Element Simulation Analysis And Machining Process Optimization Of TC4 Alloy Thin-walled Parts Milling

Titanium alloy thin-walled parts are easily deformed during the milling process,and it is difficult to ensure the machining accuracy and quality of the workpiece after milling.To solve this problem,researching the processing parameters has a positive effect on improving the machining precision and quality of titanium alloy thin-walled parts.This paper takes TC4 alloy thin-walled parts as the research object,and uses ABAQUS to simulate the milling process,and verifies the accuracy of the simulation model through the milling machining experiment.The BP neural network algorithm is used to establish the prediction model of milling machining deformation,and the milling process parameters are optimized by genetic algorithm and mathematical regression modeling.The main research contents of this article include:(1)Based on the ABAQUS analysis software,and combined with the key technology of finite element simulation,a simulation model of 3D milling of TC4 alloy thin-walled parts is established.Milling force,milling deformation,stress field,and strain field are simulated and analyzed.(2)According to the three-dimensional finite element simulation analysis and milling force orthogonal experiment of milling force of tc4 alloy thin-walled parts,the experimental data is measured by the kistler and the data obtained from the finite element simulation is compared to verify the accuracy of the finite element model.Using matlab toolbox to analyze the difference of experimental data and obtain.(3)Study the tc4 alloy thin-walled parts milling deformation of three-dimensional finite element simulation analysis and milling deformation orthogonal experimental.The wenzel is used to measure the deformation of the thin-walled parts after the experiment.The deformation data of the experiment and the simulation are analyzed comparatively.The feasibility of finite element milled deformation simulation model is verified.(4)Based on the milling force,milling deformation simulation analysis and experimental study of the theoretical basis,the relationship between the use of BP neural network establishes the maximum deformation between milling parameters and milling deformation prediction model.Combined with optimization design theory,the milling parameters are optimized to obtain the optimal milling parameters.