Dynamic Analysis And Optimization Design For The Cross Beam Of A CNC Turret Punch Press

CNC turret punch press is a kind of porous thin plate punching processing equipment, the cross beam is the feed mechanism of the punch. Its dynamic response performance not only directly related to the accuracy of the feeding, but also affects the machining accuracy of plate and the feeding speed. In order to improve the dynamic response ability of the cross beam, reduce the manufacturing cost, it is necessary to optimize the cross beam. The cross beam as the research object, Based on the finite element theory, by the finite software Hyper Works, this paper carried out the dynamic and static analysis and optimization design. The main work and results are listed as follows:(1)Based on the simplified 3D simplified model, the finite element model for the cross beam including guide joint surface is established, compared with experimental results, the maximum error of natural frequency is 6.8%, and modal shape is fairly consistent, so the reliability of the model is validated through modal experiments.(2) Static and dynamic analysis were established under various working conditions, the result shows:when the cross beam is in the first conditions, the natural frequency is the lowest; Also the deformation is much larger, The static stiffness is relatively low. According to these analysis, this paper do the optimization design under the first conditions.(3) A multi-objective topology optimization based on variable density method was presented for the structure optimization design of cross beam, avoid the traditional single-objective optimization design method which can not simultaneously consider multiple factors. The topology optimization result shows that the mass can be maintained while increasing the static stiffness by 17.8% and the first order natural frequency by 4.98%.(4)A parameterized model is set up through the mesh deformation technology. An agent model is built through Latin hypercube sampling, relative sensitivity analysis and Kriging approximation model. The lightweight design is produced by GA(genetic algorithms). The optimization results show that the mass of the cross beam can be reduced by 58kg(5.9%), while the maximum deformation strength and the first order natural frequency keep basically unchanged.