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2023 | OriginalPaper | Buchkapitel

Selection of Optimal Process Parameters for Electric Discharge Machining of 13/8 PH Steel Using Genetic Algorithm

verfasst von : V. Sindhuja, J. Laxman, K. Eswaraiah, M. D. Sameer

Erschienen in: Recent Trends in Product Design and Intelligent Manufacturing Systems

Verlag: Springer Nature Singapore

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Abstract

EDM is a non-traditional machining process used for high strength to weight ratio material and high-heat resistance materials. This paper undertakes a comparative study between optimization using the Taguchi method and the genetic algorithm on 13/8 PH steel using die sinking EDM. The advantage of EDM is its unconventionality wherein performs machining without any contact between tool and work piece. This machining involves thorough usage of parameters that affect output response like pulse-on time, pulse-off time, tool lift time, input current on MRR. Genetic algorithm is performed in MATLAB optimization tool box. Taguchi optimization and ANOVA are performed in Minitab-19. ANOVA is performed to analyze effect of input parameters on output response. This research also provides a list of optimized process parameters for 13/8 PH steel machining.

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Titel: Selection of Optimal Process Parameters for Electric Discharge Machining of 13/8 PH Steel Using Genetic Algorithm
verfasst von: V. Sindhuja
J. Laxman
K. Eswaraiah
M. D. Sameer
Verlag: Springer Nature Singapore
Buch: Recent Trends in Product Design and Intelligent Manufacturing Systems
Print ISBN: 978-981-19-4605-9

Electronic ISBN: 978-981-19-4606-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-4606-6_77

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