Stress Constraint Model based on Neural Networks for Excavator Stick Structural Intelligent Optimization
ZHANG Yangmei
HUA Haiyan
SHEN Zhenhui
Abstract：In allusion to the deficiencies existing in current stress constraint processed by ANSYS software for excavator stick structural intelligent optimization such as the inefficiency in handling the stress constraint, the difficulty in realizing the stress intensity control and maximum material economized of stick, the stress constraint model based on stress intensity for stick structural intelligent optimization is put forward. The stress character sections which can represent the distribution of stress were determined by stress investigation, then, establishing the neural network model of stress for stick. Excavator ear-plate stick is taken as an example to illustrate the es?tablishment of the stress constraint model and demonstrate the constraint model can effectively achieve the stress constraint of stick structure, thus, improve the rate of stick structural intelligent optimization.
Keywords：intelligent optimizationstress constraint modelstress character sectionstress investigation
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 37-43,58 )