基于组合近似模型的轻量化设计方法

中国机械工程

基于组合近似模型的轻量化设计方法

童水光1;何顺1;童哲铭1;范慧楚1;李元松2;李明辉2;谭达辉3;钟玉伟3

1.浙江大学机械工程学院，杭州，310027
2.杭叉集团股份有限公司，杭州，311305
3.广西玉柴机器股份有限公司，玉林， 537005

出版日期:2020-06-10 发布日期:2020-07-03
基金资助:
国家重点研发计划资助项目（2019YFB2004604）；
浙江省自然科学基金资助项目（LR19E050002）；
浙江省重点研发计划资助项目（2018C01020，2018C01060，2019C01057）

Lightweight Design Method Based on Combined Approximation Model

TONG Shuiguang1;HE Shun1;TONG Zheming1;FAN Huichu1;LI Yuansong2;LI Minghui2;TAN Dahui3;ZHONG Yuwei3

1.College of Mechanical Engineering,Zhejiang University,Hangzhou,310027
2.Hang Fork Group Co.，Ltd.,Hangzhou,311305
3.Guangxi Yuchai Machinery Co.,Ltd.,Yulin,Guangxi,537005

Online:2020-06-10 Published:2020-07-03

摘要/Abstract

摘要： 针对传统结构优化设计方法效率低、计算量大等缺陷，提出一种基于组合近似模型的轻量化设计方法。以某型号内燃叉车的两级门架结构为例，通过熵权TOPSIS综合贡献度分析方法筛选出对门架性能影响最大的上下翼缘及腹板厚度作为轻量化的设计变量，采用最优拉丁超立方设计方法进行样本点采集，得到包含设计变量和性能响应的100个样本点，分别构建外门架质量、最大应力、最大变形的组合近似模型，结合二次序列规划算法展开轻量化设计，结果表明：外门架经过优化后，质量减小13.36%，最大应力减小4.65%。

关键词: 近似模型, 逼近理想解排序法(TOPSIS), 轻量化, 综合贡献度分析, 最优拉丁超立方设计, 二次序列规划算法

Abstract: Aiming at the defects of low efficiency and large computational complexity of traditional structural optimization design methods, a lightweight design method was proposed based on combined approximation model. Taking the two-stage gantry structure of a certain type of internal combustion forklift as an example, the upper and lower flanges and web thicknesses that had the greatest influences on the performance of the gantry were selected as the lightweight design variables by TOPSIS method. 100 sample points including design variables and performance responses were obtained based on Opt-LHD method. Combined approximation model of outer gantry mass, maximum stress, and maximum deformation were constructed, combined with quadratic sequence programming algorithm， the lightweight design was developed. And the results show that the quality of the outer gantry is reduced by 13.36% and the maximum stress is reduced by 4.65%.

Key words: approximate model, technique for order preference by similarity to ideal solution（TOPSIS）, lightweight, comprehensive contribution analysis, optimal Latin hypercube design(Opt-LHD), quadratic sequence programming algorithm

中图分类号:

TH242

童水光1;何顺1;童哲铭1;范慧楚1;李元松2;李明辉2;谭达辉3;钟玉伟3. 基于组合近似模型的轻量化设计方法[J]. 中国机械工程.

TONG Shuiguang1;HE Shun1;TONG Zheming1;FAN Huichu1;LI Yuansong2;LI Minghui2;TAN Dahui3;ZHONG Yuwei3. Lightweight Design Method Based on Combined Approximation Model[J]. China Mechanical Engineering.

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