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Abstract：
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For square box parts of non-axisymmetry, the process characteristics and common failure modes as well as judgment criteria in deep drawing of square box parts were analyzed. Then, the deep drawing performance and the limit drawing ratio (LDR) of square box parts under different loading modes of typical variable blank holder force (VBHF) were studied and analyzed by the professional CAE simulation software DYNAFORM, and the best forming effect and LDR of blank under the V-type or similar V-type of VBHF loading were confirmed. Furthermore, the RBF neural network intelligent forecasting model of VBHF loading law in the deep forming process of square box parts was established, and the training and performance test of the forecast model were completed. The predicted results are in good agreement with the simulation results, and the RBF neural network predictes that the sheet drawing quality with VBHF loading is better and closer to the actual production state. Finally, the neural network prediction results were optimized by the polynomial fitting, and the VBHF loading curve with ideal forming effect was obtained.
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Funds：
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吉林省省级经济结构战略调整引导资金专项项目(20141131)
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AuthorIntro：
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张效林(1988-)，男，硕士，E-mail：xiaolin8888@163.com
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Reference：
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