基于卷积神经网络的板料挤压成形力预测  

Prediction on sheet metal extrusion forming force based on convolutional neural network

作　　者：赵震[1,2] 沈大为[1,2] 曹益旗 向华 庄新村[1] Zhao Zhen;Shen Dawei;Cao Yiqi;Xiang Hua;Zhuang Xincun(Institute of Forming Technology&Equipment,Shanghai Jiao Tong University,Shanghai 200030,China;National Engineering Research Center of Die&Mold CAD,Shanghai Jiao Tong University,Shanghai 200030,China)

机构地区：[1]上海交通大学塑性成形技术与装备研究院,上海200030 [2]上海交通大学模具CAD国家工程研究中心,上海200030

出　　处：《锻压技术》2021年第9期76-84,共9页Forging & Stamping Technology

基　　金：国家自然科学基金资助项目(51875351)。

摘　　要：板料挤压过程中的成形力计算是合理进行模具设计和压力机选择的重要依据。为了快速、准确地获取挤压力数值,提出了一种结合有限元仿真和卷积神经网络的板料挤压力预测模型。利用所建立的板料挤压有限元模型,结合知识模板技术,批量获取了不同工艺参数下的成形力数据集;在此基础上,针对凸凹模几何形状难以用参数统一表征的问题,以凸凹模的轮廓图像为直接输入量,基于凸、凹模基础形状类,采用混合卷积神经网络结构,构建了适用于不同工艺参数的挤压力预测模型。经过验证和评估,所建模型对于规则形状和组合形状板料挤压力均有较高的预测精度,可以满足工程计算的需求。The calculation of forming force in the extrusion process of sheet is an important basis for reasonable mold design and press selection.Therefore,in order to obtain the extrusion force value quickly and accurately,a prediction model of extrusion force for sheet metal was proposed by combining with the finite element simulation and the convolutional neural network.Using the established finite element model for sheet metal and combining with the knowledge template technology,the data sets of forming forces under different process parameters were obtained in batches.On the basis of this,considering the problem that it was difficult to describe the geometric shape of punch and die with the uniform parameter,taking the contour image of punch and die as the direct input,based on the basic shapes of punch and die,the prediction model of extrusion force suitable for the different process parameters was established by the hybrid convolutional neural network structure.Through the verification and evaluation,the established model has high precision for extrusion force of the sheet metal with the regular shape or combined shape and meet the needs of engineering calculation.

关 键 词：板料挤压 成形力 精冲 卷积神经网络 凸凹模形状 

分 类 号：TG376.1[金属学及工艺—金属压力加工]