Development Of Milling Simulation Parametric Platform And Process Optimization

42Cr Mo steel has good comprehensive mechanical properties,making this material widely used in nuclear power,ships,agricultural machinery and other fields.However,the material has high cutting force,high chip temperature and low tool life during machining.In view of the above problems,this paper establishes a finite element model of face milling cutter milling 42 Cr Mo steel considering the dynamic characteristics of the tool system,and develops a high-speed milling modeling simulation platform.The milling force under different milling parameters is simulated by using the simulation platform,and the milling parameters are optimized.The main research contents are as follows:First,the static stress-strain curve of the 42 Cr Mo material was obtained through the quasi-static tensile experiment,the dynamic stress-strain curve of the 42 Cr Mo material was obtained through the Hopkinson compression bar experiment,and the constitutive parameter values of the 42 Cr Mo material were obtained through numerical fitting,The tensile process is simulated and analyzed to verify the correctness of the Johnson-Cook constitutive model,and the obtained constitutive parameters provide the parameter basis for the simulation.Secondly,a three-dimensional milling simulation model considering the dynamic characteristics of the tool system is established by using ABAQUS software,and the results of temperature field,stress field and milling force are obtained through simulation calculation.The simulation results of the milling force considering the dynamic characteristics of the tool system and those without considering the dynamic characteristics of the tool system are compared with the experimental results.The z-direction milling force error is 3.81%;the x-direction milling force error without considering the dynamic characteristics of the tool system is 15.91%,the y-direction milling force error is 6.24%,and the z-direction milling force error is 4.88%.Therefore,it is verified that the simulation results considering the dynamic characteristics of the tool system in the simulation model are more accurate.Thirdly,a high-speed milling modeling simulation platform is built using Python language.Using the platform reduces modeling time by 80% compared to traditional manual modeling.Then,the simulation platform was used to explore the variation trend of milling force with milling amount under different milling parameters.The milling force obtained from the simulation platform is compared with the milling force obtained from the experiment.The results show that the error of the milling force in the x-direction is 10.73%,the error of the milling force in the y-direction is 18.91%,and the error of the milling force in the z-direction is 9.54%.reliability and usability of the platform.Finally,an orthogonal experiment table is established,and the milling force data obtained by the simulation platform is used as the data source,and the empirical mathematical models about the three-dimensional milling force are fitted respectively based on the least square method.The multi-objective genetic optimization algorithm was used to optimize and solve the milling parameters,and the optimal combination of milling parameters was obtained.The comparison experiment was carried out with the three-dimensional milling force as the index,and it was verified that the three-dimensional milling force was the smallest under the optimal milling parameters.