Based On Finite Element Of Static And Dynamic Performance Analysis Of The Whole Machine And Structural Optimization Design

CNC machine tools are developing in the direction of high-speed,high-precision and intelligent,and machine tool stiffness deformation has a direct impact on the machining accuracy of high-precision CNC machine tools,so the optimal design of the machine tool structure has important theoretical significance and application value.This dissertation takes the GT650 spiral bevel gear milling machine as the research object,performs the dynamic and static analysis and modal analysis of the machine tool,and optimizes the structure of the key parts of the machine tool.The research work mainly includes the following contents:According to the design drawings,the GT650 machine tool is modeled in SOLIDWORKS software and properly simplified,and then imported into the ANSYS Workbench software.The load and the constraints of the actual machining conditions are combined to perform dynamic and static operations on the entire tooth milling machine.The characteristic analysis provides a reference for the structural optimization of machine tool components.Secondly,parametric modeling the bed base and importing into ANSYS Workbench to realize the parameterization of the finite element model,and using the Goal Driven Optimization method of the response surface method in the module to optimize the parameters of the external dimensions of the bed structure.The bed structure size is improved and optimized to achieve the optimization of the bed structure;due to the uniform distribution of the internal rib structure of the sliding seat,the column and the sliding table,the internal rib structure of each part is improved and the new internal ribs are assembled Structures,perform finite element analysis on them.Finally,the dynamic and static characteristics of each component and the overall optimization model are analyzed,and compared with the performance of the original complete machine to verify the impact of the optimization of the component structure on the overall performance.