Study on Cutting Parameters Optimization of Ball-End Cutters Milling for 2A70 Aluminum Alloy

Article Preview

Abstract:

Based on experiments of ball-end cutters milling for 2A70 aluminum alloy, the prediction model of surface roughness for 2A70 aluminum alloy is established by using of regression analysis method of least square. Aiming at the actual milling problem in the enterprise the cutting parameters are optimized by using of optimization tool-box of MATLAB software, in the process of solving optimized parameters the machining efficiency is set as the objective function and surface roughness prediction model is set as the constraint condition. The optimized cutting parameters can greatly improve the machining efficiency in the premise of ensuring the quality of machined surface, and it provides the important theory evidence and case reference for NC machining enterprises to reduce production costs.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

144-147

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] HU Zhiyin, MENG Guangyao, XIA Haitao: Journal of Manufacturing Technology & Machine Tool Vol. 18 (2011), p.44 (Chinese Mechanical Engineering Society, China).

Google Scholar

[2] YUE Zhongsheng, MA Xingzhen, ZHANG Bing: Journal of LIGHT ALLOY FABRICATION TECHNOLOGY Vol. 29(2001), p.29 (China Nonferrous Metals Industry Association, China).

Google Scholar

[3] TIAN Xinli, SHE Anying: Journal of Manufacturing Technology & Machine Tool Vol. 15(2008), p.101 (Chinese Mechanical Engineering Society, China).

Google Scholar

[4] YU Xinwei, FENG Mingjun, WANG Xuehui: Journal of Heilongjiang Institute of Science and Technology Vol. 20 (2010), p.91 (Heilongjiang University of Science and Technology, China).

Google Scholar

[5] ZHANG Defeng: Practical Numerical Analysis of MATLAB (Tsinghua University Press, China 2012).

Google Scholar

[6] MA Li: Mathematical Experiments and Construction of MATLAB (Tsinghua University Press, China 2010).

Google Scholar