基于Abaqus与BP神经网络的齿圈插齿插削力预测  

Prediction of cutting force of ring gear based on Abaqus and BP neural network

作　　者：韩军[1] 张磊 段荣鑫 王静 HAN Jun;ZHANG Lei;DUAN Rongxing;WANG Jing(Mechanical Engineering School, Inner Mongolia University of Science and Technology, Baotou 014010, China)

机构地区：[1]内蒙古科技大学机械工程学院,内蒙古包头014010

出　　处：《内蒙古科技大学学报》2020年第3期231-238,共8页Journal of Inner Mongolia University of Science and Technology

基　　金：内蒙古自治区自然科学基金资助项目(2019LH05010)。

摘　　要：应用Abaqus有限元分析软件建立了齿圈插齿加工的仿真模型,以仿真数据作为样本数据,通过Matlab神经网络工具箱,建立了基于BP神经网络的齿圈插齿加工插削力预测数字化模型,并对模型进行检验,预测值与仿真值之间的相对误差在4.71%之内.研究结果表明:所建立的预测模型是有效的.A simulation model for ring gear cutting was established by Abaqus finite element analysis software.Using the simulation data as sample data,a digital model for predicting the cutting force of ring gear cutting processing based on BP neural network was established through the Matlab neural network toolbox,and the model was tested according to the actual processing situation.The relative error between the predicted value and the simulated value was within 4.71%.The research results show that the established prediction model is effective.

关 键 词：齿圈 ABAQUS BP神经网络 插削参数 插削力预测 

分 类 号：TH16[机械工程—机械制造及自动化]