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Modular design method of EOD robot based on genetic algorithm

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成果类型:
期刊论文
作者:
Qiang Yin;Zhichao Xiong;Shaoyun Song;Guoquan Zhang
通讯作者:
Yin, Q.
作者机构:
[Yin Q.; Xiong Z.; Song S.; Zhang G.] College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, 430048, China
通讯机构:
College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China
语种:
英文
关键词:
Genetic algorithms;Machine design;Product design;Robots;Design industry;Modular designs;Modular-design method;Module clustering;Module divisions;Module partition methods;Quantitative module;Research object;Clustering algorithms
期刊:
International Journal of Wireless and Mobile Computing
ISSN:
1741-1084
年:
2018
卷:
15
期:
2
页码:
185-193
基金类别:
This work was supported by Educational Commission of Hubei Province of China (D20161706), Foundation of Wuhan Polytechnic University (No.2017y02), and Wuhan Polytechnic University Research Grant(No.2014RZ37). These supports are greatly acknowledged.
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
With the rapid development of product design, the modular design method shows unique advantages in the design of the product. Modular design has become a hot spot in the manufacturing and design industry. The aim of the modular design method is to make up the products which include many types and specifications with fewer types and quantities of modules. In this paper, EOD robot design is the research object according to the module division principle, from the point of view of the EOD robot products is divided into several basic units by cluste...

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