Translated Title

New Stress Prediction Model of Excavator Boom Based on Distribution of Similar Stress Characteristics

Translated 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.

Translated Keyword

BP neural network
excavator boom
intelligent optimization design
prediction model
similar stress distribution

Classification

TP183

Type

Project Name

Project No.

Access Number

WF:perioarticaljxzzyzdh201701022

Language

Chinese

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