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Single- and Multi-objective Optimization of Nano-finishing Processes Using Jaya Algorithm and Its Variants

  • Ravipudi Venkata RaoEmail author
Chapter
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Abstract

This chapter describes the formulation of process parameters optimization models for nano-finishing processes of rotational magnetorheological abrasive flow finishing, magnetic abrasive finishing, magnetorheological fluid based finishing, and abrasive flow machining. The application of TLBO and NSTLBO algorithms, Jaya algorithm and its variants such as Quasi-oppositional (QO) Jaya and multi-objective (MO) Jaya is made to solve the single and multi-objective optimization problems of the selected nano-finishing processes. The results of Jaya algorithm and its variants are found better as compared to those given by the other approaches.

Keywords

Jaya Algorithm Magnetic Abrasive Finishing Abrasive Flow Input Process Parameters TLBO Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringS.V. National Institute of TechnologySuratIndia

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