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Application of non-dominated sorting genetic algorithm for multi-objective optimization of electrical discharge diamond face grinding process

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Abstract

Hybrid machining processes (HMPs), having potential for machining of difficult to machine materials but the complexity and high manufacturing cost, always need to optimize the process parameters. Our objective was to optimize the process parameters of electrical discharge diamond face grinding (EDDFG), considering the simultaneous effect of wheel speed, pulse current, pulse on-time and duty factor on material removal rate (MRR) and average surface roughness (Ra). The experiments were performed on a high speed steel (HSS) workpiece at a self developed face grinding setup on an EDM machine. All the experimental results were used to develop the mathematical model using response surface methodology (RSM). The developed model was used to generate the initial population for a genetic algorithm (GA) during optimization, non-dominated sorting genetic algorithm (NSGA-II) was used to optimize the process parameters of EDDFG process. Finally, optimal solutions obtained from pareto front are presented and compared with experimental data.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004, India

    Ravindra Nath Yadav & Vinod Yadava

  2. Department of Mechanical Engineering, Galgotiya University, Gr. Noida, India

    G. K. Singh

Authors
  1. Ravindra Nath Yadav
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  2. Vinod Yadava
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  3. G. K. Singh
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Corresponding author

Correspondence to Ravindra Nath Yadav.

Additional information

Recommended by Associate Editor Young Whan Park

Ravindra Nath Yadav is pursuing his Ph.D. in the Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, (India). His research interests include conventional and unconventional manufacturing processes, precision manufacturing, machining of advanced engineering materials, application of finite element method, soft computing and design of experiments in manufacturing.

Vinod Yadava is a Professor in the Department of Mechanical Engineering and Dean (Research and Consultancy), Motilal Nehru National Institute of Technology Allahabad, (India). He received his Ph.D. from Indian Institute of Technology Kanpur, (India) in 2002. His research area includes advanced manufacturing science and technology, micromachining science and technology, applications of finite element method, design of experiments and soft computing methods in manufacturing

G. K. Singh received his Ph.D. from Motilal Nehru National Institute of Technology Allahabad, India in 2011. He is a Professor with the Department of Mechanical Engineering, Galgotias University, Greater Noida, India. His current research interests include unconventional manufacturing processes, shaping of advanced engineering materials and design of experiments in manufacturing.

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Yadav, R.N., Yadava, V. & Singh, G.K. Application of non-dominated sorting genetic algorithm for multi-objective optimization of electrical discharge diamond face grinding process. J Mech Sci Technol 28, 2299–2306 (2014). https://doi.org/10.1007/s12206-014-0520-9

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  • DOI: https://doi.org/10.1007/s12206-014-0520-9

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