A new optimization algorithm for parameter optimization of nano-finishing processes

Authors

1 Department of Mechanical Engineering, S. V. National Institute of Technology, Surat, Gujarat 395007, India

2 Faculty of Mechanical Engineering, University of Maribor, Slovenia

Abstract

Material removal rate and surface roughness are the most important performance measures in nano-finishing processes and these are largely influenced by the process parameters. The optimum combination of process parameters for nano-finishing processes is determined in this paper using a recently proposed optimization algorithm, named as Jaya algorithm. The results show the better performance of the Jaya algorithm over the other approaches attempted by the previous researchers such as genetic algorithm and desirability function approach for the same nano-finishing processes. The results obtained by the Jaya algorithm are useful for the real production systems.

Keywords

Scientia Iranica
Volume 24, Issue 2 - Serial Number 2
Transactions on Industrial Engineering (E)
April 2017
Pages 868-875

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