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A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling: Enhanced Quality Micro-Hole Fabrication in Inconel 718

A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling: Enhanced Quality Micro-Hole Fabrication in Inconel 718

Deepak Rajendra Unune, Amit Aherwar
Copyright: © 2018 |Pages: 22
ISBN13: 9781522529903|ISBN10: 152252990X|EISBN13: 9781522529910
DOI: 10.4018/978-1-5225-2990-3.ch031
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MLA

Unune, Deepak Rajendra, and Amit Aherwar. "A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling: Enhanced Quality Micro-Hole Fabrication in Inconel 718." Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, et al., IGI Global, 2018, pp. 728-749. https://doi.org/10.4018/978-1-5225-2990-3.ch031

APA

Unune, D. R. & Aherwar, A. (2018). A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling: Enhanced Quality Micro-Hole Fabrication in Inconel 718. In P. Vasant, S. Alparslan-Gok, & G. Weber (Eds.), Handbook of Research on Emergent Applications of Optimization Algorithms (pp. 728-749). IGI Global. https://doi.org/10.4018/978-1-5225-2990-3.ch031

Chicago

Unune, Deepak Rajendra, and Amit Aherwar. "A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling: Enhanced Quality Micro-Hole Fabrication in Inconel 718." In Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, Sirma Zeynep Alparslan-Gok, and Gerhard-Wilhelm Weber, 728-749. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2990-3.ch031

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Abstract

Inconel 718 superalloy finds wide range of applications in various industries due to its superior mechanical properties including high strength, high hardness, resistance to corrosion, etc. Though poor machinability especially in micro-domain by conventional machining processes makes it one of the “difficult-to-cut” material. The micro-electrical discharge machining (µ-EDM) is appropriate process for machining any conductive material, although selection of machining parameters for higher machining rate and accuracy is difficult task. The present study attempts to optimize parameters in micro-electrical discharge drilling (µ-EDD) of Inconel 718. The material removal rate, electrode wear ratio, overcut, and taper angle have been selected as performance measures while gap voltage, capacitance, electrode rotational speed, and feed rate have been selected as process parameters. The optimum setting of process parameters has been obtained using Genetic Algorithm based multi-objective optimization and verified experimentally.

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