轻工学报2018，Vol.33Issue(2)：87-94,8.DOI:10.3969/j.issn.2096-1553.2018.02.013
神经网络近似模型在液压支架顶梁轻量化设计中的应用
Application of neural network approximate model in lightweight design of hydraulic support top beam
摘要
Abstract
For the top beam of hydraulic support to meet the requirements of working conditions,the goal of the project is to minimize the quality.A lightweight design method for the top beam was proposed combined with neural network approximation model and genetic algorithm.Firstly,using ANSYS to build a parametric model to the top beam,taking the quality of the top beam as the objective function,5 design variables that affect quality and intensity were selected,the optimization model of the top beam was established.Then,Optimal Lat-in Hypercube sampling method and ANSYS were used to get training samples.Neural network was applied to nonlinear fitting of sample set,and the approximate model of neural network was established.The approximate model was used to approximate the quality and maximal stress of the top beam,genetic algorithm was applied to solve the optimization model of the top beam,and the optimal solution was obtained finally.The optimization results showed that the quality of the top beam was 8 038.2 kg,which reduced by 9.66%.The maximum stress value was less than the yield strength of the top beam material and met the fatigue life requirement.关键词
液压支架顶梁/神经网络/近似模型/遗传算法/轻量化设计Key words
hydraulic support top beam/neural network/approximate model/genetic algorithm/lightweight design分类
机械制造引用本文复制引用
王邦祥,陆金桂,王京涛,钱鹏..神经网络近似模型在液压支架顶梁轻量化设计中的应用[J].轻工学报,2018,33(2):87-94,8.基金项目
国家"十二五"科技支撑计划资助项目(2013BAF02B11) （2013BAF02B11）
