机械制造与自动化2017，Vol.46Issue(1)：78-83,6.DOI:10.19344/j.cnki.issn1671-5276.2017.01.022
基于相似应力特征分布的挖掘机动臂应力预测模型
New Stress Prediction Model of Excavator Boom Based on Distribution of Similar Stress Characteristics
摘要
Abstract
The low universality exists in the neural network prediction model of the excavator boom structure stress.This paper presents a method which is used to classify the similar characteristic stress of the boom,establishes the neural network prediction model,takes small and medium-sized excavator hydraulic cylinder with double gooseneck boom as an example,uses the stratified sampling method to obtain the analysis samples,and establishes the similar stress feature classification model to classify the sample,then establishes the stress prediction models to achieve more rapid and accurate prediction and improve the efficiency of the boom structure optimization.关键词
挖掘机动臂/相似应力特征分布/结构智能优化设计/BP神经网络/预测模型Key words
excavator boom/similar stress distribution/intelligent optimization design/BP neural network/prediction model分类
信息技术与安全科学引用本文复制引用
徐元亮,林述温..基于相似应力特征分布的挖掘机动臂应力预测模型[J].机械制造与自动化,2017,46(1):78-83,6.基金项目
国家自然科学基金资助项目(51175086) （51175086）
