Title of article :
A new optimization algorithm for parameter optimization of nano-finishing processes
Author/Authors :
Venkata Rao، Ravipudi نويسنده Professor in the Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, India. , , Praveen Rai، Dhiraj نويسنده research scholar and pursuing PhD program at S.V. National Institute of Technology, Surat. , , Balic، Joze نويسنده Professor of Manufacturing Technology and Systems in the Faculty of Mechanical Engineering, Maribor, Slovenia. ,
Issue Information :
دوماهنامه با شماره پیاپی سال 2017
Pages :
8
From page :
868
To page :
875
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.
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
Serial Year :
2017
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
Record number :
2402934
Link To Document :
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