Application of artificial neural network and optimization algorithms for optimizing surface roughness, tool life and cutting forces in turning operation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-013-0327-0.pdf
Reference22 articles.
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3. D. I. Lalwani, N. K. Mehta and P. K. Jain, Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel, Journal of Materials Processing Technology, 206 (2008) 167–179.
4. I. Mukherjee and P. K. Ray, A review optimizations techniques in metal cutting processes, Computers & Industrial Engineering, 50 (2006) 15–34.
5. C. X. J. Feng and X. Wang, Development of empirical models for surface roughness prediction in finish turning, international journal of Advanced Manufacturing Technology, 20 (2002) 348–356.
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