现代制造工程Issue(1)：59-62,103,5.DOI:10.16731/j.cnki.1671-3133.2018.01.012
基于BP神经网络的挖掘机动臂应力预测
Stress prediction model of excavator boom based on BP neural network
摘要
Abstract
The finite element software ANSYS needs to be run repeatedly in the excavator boom structure optimization process, making the optimization process cumbersome and inefficient. To address this problem,an intelligent optimization model for four typical stress conditions of the excavator boom was proposed. Stress census section was determined through setting rules in opti-mal design software of excavator boom and establishing a stress prediction model for the excavator boom based on BP network. The small and medium excavator booms were used as examples and stress prediction models were established to improve the opti-mization efficiency of the boom structure. The results show that predict stress was in consistent with the experimental data with error less than 6.08 %.关键词
挖掘机动臂/应力普查/应力特征截面/BP神经网络/应力预测Key words
excavator boom/stress census/stress characteristic section/BP neural network/stress prediction分类
机械制造引用本文复制引用
闫二乐,林航,林述温,杨拴强..基于BP神经网络的挖掘机动臂应力预测[J].现代制造工程,2018,(1):59-62,103,5.基金项目
国家自然科学基金青年基金项目(51405085) （51405085）
