首页|Parameter Optimization of Milling Ti6AI4V using GA approach

Parameter Optimization of Milling Ti6AI4V using GA approach

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  • NETL
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  • Trans Tech Publications Ltd
The research was carried out on the parameter optimization of milling titanium alloy in this paper. The cutting models including cutting force, tool life and machined surface roughness are obtained by orthogonal array experiments. The maximum metal removal rate, MRR is selected as objective function. The constraints related to machine tool, workpiece, cutting tool and other machining situations are presented in details. Genetic algorithm is used to search for the optimum milling parameters for the maximum metal removal rate of titanium alloy. The optimization results show the optimization system can improve the productivity of milling Ti6Al4V obviously.

Ti6Al4Vend millingparameter optimizationgenetic algorithm

F. Xu、J.J. Zhu、X. Wu、X.J. Zang、D.W. Zuo

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Nanjing Research Institute of Electronics Technology, Nanjing 210013, China College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Nanjing Research Institute of Electronics Technology, Nanjing 210013, China

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

2010

10.4028/www.scientific.net/KEM.426-427.1

Key engineering materials

Key engineering materials

ISSN：1013-9826
年,卷(期)：2010.426/427
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