Structure Optimization And Forming Prediction Of Stamping Parts Based On The Simulation

With the wide use of household air conditioner, and continuous development of air conditioner manufacturers competitiveness, the consumer has higher requirement for the performance of air conditioner products. With each big air conditioner manufacturers competition for market occupancy, and the rise in raw material prices and the rise in the cost of transportation, air conditioner industry profit growth is slowing. As air conditioner’s main support, the sheet metal parts occupies a considerable proportion in air condition, how to further reduce the thickness of the sheet metal parts to make it also meet the stiffness and strength requirements have become each big air conditioner manufacturers need to solve problems.Optimization design can use of material performance more reasonable and make the internal structure best coordination. This paper based on a certain type of air conditioner products, through optimize the internal structure of air conditioner chassis, Under thinning the thickness of the chassis circumstances, and make it meet use requirement. First, building up air conditioner chassis’s three-dimensional model in Pro/E, and then do finite element analysis for the thinning chassis in the ANSYS Workbench platform, and then using the idea of multi-stage optimization to multi-objective optimize the chassis, make it also meet the stiffness and strength requirements.Stamping simulation to verify its manufacturability is needed for structure optimized air conditioner chassis. Stamping simulation was carried out to chassis for many times in DYNAFORM platform, by means of adjust the stamping process parameters, makes the chassis to achieve good forming effect.Because of stamping parameters setting relies heavily on the experience of experimentalist, DYNAFORM simulation calculation takes a lot of time, this paper studied air conditioner chassis forming quality BP neural network prediction in MATLAB platform. Through the orthogonal experiment to obtain the neural network training samples, and. achieve fracture and wrinkling index’s computation through the programming, Build air conditioner chassis’s BP neural network prediction model using the MATLAB neural network toolbox function, and the test achieved good effect.