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A Particle Swarm Approach Embedded with Numerical Analysis for Multi-response Optimization in Electrical Discharge Machining

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8947))

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Abstract

Present work proposes a thermo-numerical model for accurate prediction of material removal and tool erosion for electrical discharge machining (EDM) process. The data collected for the numerical analysis is based on Box-Behnken’s experimental design, a popular response surface methodology (RSM) approach. The numerical model is validated by comparing experimental results on a die sinking EDM machine. A sequentially coupled thermo-structural model has also been proposed to estimate the residual stress distribution on the work piece. Analysis of variance is conducted to identify significant parameters. Regression analysis is conducted on the model to develop valid mathematical models relating responses with process parameters. Finally, a multi objective particle swam (MOPSO) algorithm has been adopted for simultaneous optimization of responses. The proposed model can be employed for selecting ideal process states to improve process productivity and finishing capabilities.

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References

  1. Joshi, S.N., Pande, S.S.: Development of an intelligent process model for EDM. Int. J. Adv. Manuf. Technol. 45(3-4), 300–317 (2009)

    Article  Google Scholar 

  2. Yadav, V., Jain, V.K., Dixit, P.M.: Thermal stresses due to electrical discharge machining. Int. J. Mach. Tools Manuf. 42(8), 877–888 (2002)

    Article  Google Scholar 

  3. Helmi, M., Hafiz, MH., Azuddin, M., Abdullah, W.: Investigation of surface roughness and material removal rate (MRR) on tool steel using brass and copper electrode for electrical discharge grinding (EDG) process. Int. J. Integr. Eng. 1(1), (2011)

    Google Scholar 

  4. Allen, P., Chen, X.: Process simulation of micro electro-discharge machining on molybdenum. J. Mater. Process. Technol. 186(1), 346–355 (2007)

    Article  Google Scholar 

  5. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Network, Washington, USA, 4 Nov/Dec 1942–1948 (1995)

    Google Scholar 

  6. Agrawal, S., Panigrahi, B.K., Tiwari, M.K.: Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch. IEEE Trans. Evol. Comput. 12(5), 529–541 (2008)

    Article  Google Scholar 

  7. Panigrahi, B.K., Pandi, V.R., Das, S., Das, S.: Multiobjective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem. Energy 35(12), 4761–4770 (2010)

    Article  Google Scholar 

  8. Anderoglu, O.: Residual stress measurement using X-ray diffraction. Ph.D. dissertation., A&M University, Texas (2004)

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology, Rourkela, Rourkela, 769008, India

    Chinmaya P. Mohanty, Manas Ranjan Singh, Siba Sankar Mahapatra & Suman Chatterjee

Authors
  1. Chinmaya P. Mohanty
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  2. Manas Ranjan Singh
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  3. Siba Sankar Mahapatra
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  4. Suman Chatterjee
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Corresponding author

Correspondence to Chinmaya P. Mohanty .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Mohanty, C.P., Singh, M.R., Mahapatra, S.S., Chatterjee, S. (2015). A Particle Swarm Approach Embedded with Numerical Analysis for Multi-response Optimization in Electrical Discharge Machining. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-20294-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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