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Optimization of Surface Roughness in Turning Process by Using Jaya Algorithm

  • Ashish Khachane
  • Vijaykumar Jatti
Conference paper

Abstract

Jaya is an algorithm-specific parameter-less algorithm which is very promising and simple optimization technique to solve various optimization problems. In this study, an empirical model for surface roughness has been optimized for the three dependent parameters such as spindle speed, feed rate and depth of cut using Jaya algorithm. The convergence pattern of Jaya algorithm for the same optimization problem has also been studied. Spindle speed of 1120 rpm, the feed rate of 0.0508 mm/rev and depth of cut of 0.4 mm resulted in optimum value for surface roughness of 0.207975 μm by Jaya algorithm. This provides a platform to the manufacturing industries for determining the optimal setting of machining parameters depending on applications.

Keywords

Jaya algorithm Optimization AlMg1SiCu Surface roughness 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ashish Khachane
    • 1
  • Vijaykumar Jatti
    • 1
  1. 1.Department of Mechanical EngineeringDr. D. Y. Patil College of EngineeringPuneIndia

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