Transactions of Materials and Heat Treatment

Title：Optimization on parameter of mask tooth mold by BP neural network

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ClassificationCode：TQ330.4+1

year,vol(issue):pagenumber：2023,48(4):218-228

Abstract：

The problems of blanking or deep drawing unsmoothly caused by the complex structure and insufficient cutting edge optimization of tooth mold during spinning were studied, and through the ultrasonic shear finite element analysis of multiple sets of normal distribution parameters on the cutting edge of tooth mold, the cutting displacement and shear strength changes under different cutting edge parameters were simulated. Then, the homogeneity test and range analysis on the results were carried out to ensure the reliability of the data, and the influence degree of each data on the results was analyzed. Furthermore, through Matlab software, the BP neural network was constructed for the relationship between different cutting edge parameters and shear strengths, cutting displacements, and the fitting training was carried out. Through neural network reverse simulation, the optimal cutting edge parameters were deduced, and the obtained parameter values were applied to the actual cutting experiment. The experimental results were used to verify the correctness and reliability of the predicted optimal parameters for the cutting edge of tooth mold. Thus, the study result provides an optimization scheme for the design of such new molds, and provides optimal processing data for the production of anti-epidemic materials.

Funds：

云南省教育厅基金资助项目（2022Y569）

作者简介：王钧（1996-），男，硕士研究生 E-mail：270254127@qq.com 通信作者：李玮（1967-），女，博士，教授 E-mail：772074913@qq.com

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