Abstract
There have been many works for optimization of cutting parameters for end milling by Genetic Algorithms (GAs) and other Artificial Intelligent (AI) techniques based on theoritical relationships. However these works do not reflect the actual shop floor situation where experimental result is more important than theoritical result. In this work we investigated cutting parameters for end milling Aluminium Alloy by experiment, compared with theoritical results from optimization point of view.
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5 References
Zheng, H., Chiou, Y.S., Liang, S.Y., “Three dimensional cutting force analysis in end milling”, Int. J. Mech. Sci. Vol.38, No.3, pp.259–269, 1996
Ahmad, N., Tanaka, T. and Saito, Y., “Optimization Of Cutting Parameters For End Milling Operation By SOAP based Genetic Algorithm”, Proceeding of Int. Conf. on Mech. Engg. Dhaka, Bangladesh, AM-08, pp.1–5, 2005.
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© 2007 Springer-Verlag London Limited
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Ahmad, N., Wakabayashi, R., Tomohisa, T., Saito, Y. (2007). Experimental Analysis and Optimization of Cutting Parameters for End Milling Aluminium Alloy. In: Towards Synthesis of Micro-/Nano-systems. Springer, London . https://doi.org/10.1007/1-84628-559-3_70
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DOI: https://doi.org/10.1007/1-84628-559-3_70
Publisher Name: Springer, London
Print ISBN: 978-1-84628-558-5
Online ISBN: 978-1-84628-559-2
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