Evaluation Of Cutting Performance For Milling Titanium Alloy Based On Finite Element Simulation

Titanium alloy is widely used in modern high-tech fields due to its low density,good corrosion resistance,good heat resistance and so on,especially in the electrolysis industry and aviation industry.This paper adopt finite element simulation,combined with theoretical analysis and experimental verification,to build a tool overall performance evaluation system in processing titanium alloy based on the finite element simulation environment,which shorten the development cycle for tool design.The main contents are as follows:First of all,the choice of material constitutive model and the setting of constitutive parameters have a crucial influence on the accuracy of the simulation results in the finite element simulation,and the appropriate constitutive equation need to be selected according to the relevant material.Therefore,this paper analyzes the different constitutive models in the simulation,based on the influence of dislocation density on the yield stress of the material,the constitutive model considering the dislocation density is established,and the ABAQUS/VUMAT subroutine is used for finite element simulation.Compared with the experimental result,the material constitutive model considering the material density is verified that it has higher cutting force prediction accuracy than the traditional Johnson-Cook constitutive model.Secondly,the secondary development technology of ABAQUS simulation software was adopted to realize the simulation of tool wear in milling titanium alloy.The milling experiment was carried out,by comparing the experimental results with the simulation results,the cause of the error is analyzed to verify that the simulation model has the same trend as the experimental results and the accuracy of the simulation model is high.The ABAQUS simulation software is used again to establish a two-dimensional finite element simulation model of milling residual stress,and the milling experiment is also carried out.The experimental results and the simulation results showed the same trend.The reasons for the errors are analyzed and the accuracy of the simulation model is verified.Finally,the Python is used to build the overall framework of the tool performance evaluation system,and the parameterization module,finite element simulation module and tool performance evaluation module are embedded in it respectively.while inputting tool parameters,machining parameter and evaluation indicators,the tool performance evaluation radar chart can be output.