• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Asian Journal of Scientific Research
  2. Vol 1 (5), 2008
  3. 502-509
  • Issues
    Online First Current Issue All Issues
  • Information About
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Asian Journal of Scientific Research

Year: 2008 | Volume: 1 | Issue: 5 | Page No.: 502-509
DOI: 10.3923/ajsr.2008.502.509

Facebook Twitter Reddit Linkedin E-mail
Google Scholar ASCI
Research Article

Empirical Modeling of EDM Parameters Using Grey Relational Analysis

A. Doniavi
Department of Mechanical Engineering, Urmia University, Urmia, Iran

M. Eskandarzade
Department of Mechanical Engineering, Urmia University of Technology, Urmia, Iran

A. Abdi
Department of Mechanical Engineering, Urmia University, Urmia, Iran

A. Totonchi
Department of Mechanical Engineering, Urmia University of Technology, Urmia, Iran

Optimization of multi criteria problems is a great need of producers to product precision parts with low costs. Many methods such as Taguchi and Response Surface Methodology have been employed for optimization of EDM process. However there are few researches involve the optimization of multi-response problem in EDM process. The attempt of this paper is to optimize multiple performance characteristics of EDM process using Grey relational analysis based on Taguchi orthogonal array. The response table and response graph for each level of the machining parameters is obtained and optimal levels of machining parameters including pulse on time, discharge current, discharge voltage and duty factor are found. The multiple performance characteristics including material removal rate, electrode wear ratio and surface roughness is considered.
PDF Fulltext XML References Citation

How to cite this article

A. Doniavi, M. Eskandarzade, A. Abdi and A. Totonchi, 2008. Empirical Modeling of EDM Parameters Using Grey Relational Analysis. Asian Journal of Scientific Research, 1: 502-509.

DOI: 10.3923/ajsr.2008.502.509

URL: https://scialert.net/abstract/?doi=ajsr.2008.502.509

Related Articles

Modeling and Analysis of Material Removal Rate During Electro Discharge Machining of Inconel 718 under Orbital Tool Movement

Leave a Comment


Your email address will not be published. Required fields are marked *

Article Trend



Total views 3773

References


  1. Baoqing, Y., L. Haiping and L. Yunchen, 2004. Model of target identification base on grey relation. Modern Defence Technol., 31: 13-16.

  2. Bin, S., Y. Ping, L. Yunbai and W. Xishan, 2002. Study on the fault diagnosis of transformer based on the grey relational analysis. Proc. Int. Conf. Power Syst. Technol., 4: 2231-2234.
    CrossRefDirect Link

  3. Chen, F.S., T.C. Chang and H.H. Liao, 2000. The application of the grey relation analysis on teacher appraisa. Proceedings of the IETimes New RomanEE International Conference on Systems Man and Cybernetics, October 8-11, 2000, Nashville, TN, USA., pp: 3366-3371.
    CrossRef

  4. Cox, D.R. and N. Reid, 2000. The Theory of the Design of Experiments. 1st Edn., Chapman and Hall/CRC Press, London/Boca Raton, FL.

  5. Deng, J.L., 1987. Basic Methods of Grey System. 1st Edn. Press of Huazhong University of Science and Technology, Wuhan, China, pp: 33-48.

  6. Deng, J.L., 1989. Introduction to grey system theory. J. Grey Syst., 1: 1-24.
    Direct Link

  7. Edwards, G.J, A. Lanitis, C.J. Taylor and T.F. Cootes, 1997. Face recognition using statistical models. IEE Colloquium Image Proc. Security Appl. 10: 36-43.

  8. Ghani, J.A., I.A. Choudhury and H.H. Hassan, 2004. Application of Taguchi method in the optimization of end milling parameters. J. Mater. Process. Technol., 145: 84-92.
    CrossRefDirect Link

  9. Hsia, K.H. and H. Wu, 1998. A study on the data preprocessing in grey relation analysis. J. Chin. Grey Syst. Assoc., 1: 47-53.

  10. Logothetis, N. amd A. Haigh, 1988. Characterizing and optimizing multi response by Taguchi method. Qual. Reliabil. Eng. Int., 4: 159-169.
    CrossRef

  11. Montgomery, D.C., 1991. Design and Analysis of Experiments. 3rd Edn., John Wiley & Sons Inc., New York, Pages: 500.
    Direct Link

  12. Taguchi, G., 1990. Introduction to Quality Engineering. 1st Edn., Asian Productivity Organization, Tokyo, Japan.

  13. Tarng, Y.S., S.C. Ma and L.K. Chung, 1995. Determination of optimal cutting parameters in wire electrical discharge machining. Int. J. Mach. Tools Manuf., 35: 1693-1701.
    CrossRef

  14. Deng, J.L., 1989. Introduction to grey system theory. J. Grey Syst., 1: 1-24.
    Direct Link

Keywords


  • optimization
  • multiple response
  • grey relational analysis
  • Taguchi method
  • Electric discharge machining

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved