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Optimization research of process parameters for laser direct rapid forming metal parts based on genetic algorithm

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成果类型:
期刊论文
作者:
Wang, J.*;Chen, B.
通讯作者:
Wang, J.
作者机构:
School of Mechanical Engineering, University of South China, Hengyang, China
通讯机构:
School of Mechanical Engineering, University of South China, China
语种:
英文
关键词:
Genetic algorithms;Laser direct rapid forming;Metal parts;Process parameter optimization
年:
2010
页码:
5684-5687
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:
The optimization research of process parameters for Laser Direct Rapid Forming (LDRF) metal parts, is a research focus of rapid prototyping technology. The article discussed in detail for solving the optimum process parameters of LDRF technology for the selection approach of strategy of genetic algorithm, the quantitative relationship model was established between process parameters of forming pieces and the part density using neural network method , which process parameters are laser power (P), scanning speed (V), powder feeding rate (G), scan...

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