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Optimization research of process parameters for laser cladding valve parts based on genetic algorithm

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成果类型:
期刊论文、会议论文
作者:
Wang, Jianbin;Yin, Jishu
通讯作者:
Wang, J.(wangjb188@163.com)
作者机构:
[Wang, Jianbin] School Of Mechanical Engineering, Nanhua University, Hengyang, China
[Yin, Jishu] School Of City Construction, Nanhua University, Hengyang, China
通讯机构:
[Wang, J.] S
School Of Mechanical Engineering, , Hengyang, China
语种:
英文
关键词:
Genetic algorithms;Laser cladding;Optimization;Process parameter;Valve parts
期刊:
Applied Mechanics and Materials
ISSN:
1660-9336
年:
2012
卷:
229-231
页码:
382-386
会议名称:
4th International Conference on Mechanical and Electrical Technology, ICMET 2012
会议时间:
24 July 2012 through 26 July 2012
ISBN:
9783037855102
机构署名:
本校为第一机构
院系归属:
机械工程学院
摘要:
The optimization research of process parameters for big power Laser cladding valve parts, is a research focus of modern surface hardening technology. The article discussed in detail for solving the optimum process parameters of Laser cladding for the selection approach of strategy of genetic algorithm, the quantitative relationship model was established between process parameters and the valve parts property using neural network method, which process parameters are laser power (P), scanning speed (V), powder feeding rate (G), scan spacing (D) and thickness (ΔZ) etc., the best configurati...

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