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Optimization of Magnetic Abrasive Finishing Process Using Principal Component Analysis

  • S. B. GunjalEmail author
  • P. J. Pawar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Abstract

Study of process parameter and their selection is very important in the process performance point of view; this issue is attempted mostly by Taguchi method. However, Taguchi approach can be applied only to single-objective problem, and in case of multi-objective problem, it gives different levels and it becomes difficult to interpret these results. Principal component analysis (PCA) transforms the set of uncorrelated components to get the optimum level of combination for all the responses. In this paper, PCA is applied to a case study having three responses, i.e., change in surface roughness, tangential cutting force, and normal magnetic force. The levels of parameters obtained by PCA show the improved results for responses than those obtained by Taguchi method.

Keywords

Magnetic abrasive finishing Principal component analysis Taguchi Multi-objective 

References

  1. 1.
    Heng, L., Kim, Y.J., Mun, S.D.: Review of super finishing by the magnetic abrasive finishing process. High Speed Mach. 3, 42–55 (2017).  https://doi.org/10.1515/hsm-2017-0004CrossRefGoogle Scholar
  2. 2.
    Jain, V.K., Kumar, P., Behera, P.K., Jayswal, S.C.: Effect of working gap and circumferential speed on the performance of magnetic abrasive finishing process. Wear 250, 384–390 (2001).  https://doi.org/10.1016/S0043-1648(01)00642-1CrossRefGoogle Scholar
  3. 3.
    Judal, K.B., Yadava, V.: Cylindrical electrochemical magnetic abrasive machining of AISI-304 stainless steel. Mater. Manuf. Process. 28, 449–456 (2013).  https://doi.org/10.1080/10426914.2012.736653CrossRefGoogle Scholar
  4. 4.
    Singh, D.K., Jain, V.K., Raghuram, V.: Parametric study of magnetic abrasive finishing process. J. Mater. Process. Technol. 149, 22–29 (2004).  https://doi.org/10.1016/j.jmatprotec.2003.10.030CrossRefGoogle Scholar
  5. 5.
    Yang, L., Lin, C., Chow, H.: Optimization in MAF operations using Taguchi parameter design for AISI304 stainless steel. Int J. Adv. Manuf. Technol. 42, 595–605 (2009).  https://doi.org/10.1007/s00170-008-1612-4CrossRefGoogle Scholar
  6. 6.
    Singh, S., Shan, H. S.: Development of magneto abrasive flow machining process. Int. J. Mach. Tools Manuf. 42,953–959 (2002).  https://doi.org/10.1016/s0890-6955(02)00021-4CrossRefGoogle Scholar
  7. 7.
    Su C., Tong, L.: Multi-response robust design by principal component analysis. Total Qualıty Manag. 8, 409–416 (1997).  https://doi.org/10.1080/0954412979415CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Production EngineeringK. K. Wagh Institute of Engineering Education and ResearchNashikIndia

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