Vol. 20 No. 3 (2017) Cover Image
Vol. 20 No. 3 (2017)

Published: June 30, 2017

Pages: 544-549

Articles

Application of ANFIS for Prediction Micro Holes in EDM

Shukry H. Aghdeab 1 Raed R. Shwaish 1
1 Production Engineering & Metallurgy Department, University of Technology/ Baghdad
History
  • Received: February 28, 2017
  • Available Online: June 14, 2017

Abstract

The present work demonstrates the optimization process of Micro- hole of Electrical Discharge Machining (EDM) by Adaptive Neuro Fuzzy Inference System (ANFIS). The workpiece material was copper alloy. The current, gap distance and pulse on time were the control parameters of EDM. The process has been successfully modeled using ANFIS model constructs a fuzzy inference system in MATLAB 7.2 Software Gaussian type for optimization of micro diameter, were adopted during the training and testing process of ANFIS model in order to compare the prediction accuracy of micro diameter by one membership function. Finally, the comparison of ANFIS results with experimental data indicates that adoption of Gaussian membership function in proposed system achieved satisfactory accuracy. Prediction using ANFIS model compared with experimental values of micro holes at correspond ratio 98.37%.

Keywords

References

  1. Aditya shahemd, et al., “Development of pulsed power DC supply for Micro EDM”, UGC National Conference on Advances in Computer Integrated Manufacturing, February 16-17, 2007.
  2. Ho K. H., and Newman S. T., “State of the art electrical discharge machining (EDM)”, International Journal of Machine Tools and Manufacture, Vol. 43, pp. 1287-1300, 2003.
  3. H.A.G. EL- Hofy, “Advanced Machining Processes”, chapter 5, pp. 115-140, by Mc Graw-Hill, production engineering department, Alexandria university, Egypt, 2007.
  4. Datta R. N., “Machine tools”, New Central Book Agency Ltd , London, Vol.2, pp. 282-286 , 2010.
  5. Ostwald Phillip F. and Munoz Jairo, “Manufacturing processes and systems” , John Willy and sons , New York , Chapter 20 , pp.480-482 , 1997.
  6. Chi Guanxin and Geng Xuesong, Hu Xingzhi, ̋ Gap State Recognition Research on Micro-EDM Electrode Anti-copy ̏, School of Mechatronics Engineering Harbin Institute of Technology Harbin, China, 2011.
  7. Chris J. Morgan, et al,̋ Micro-machining and micro-grinding with tools fabricated by micro electro-discharge machining ̏, Int. J. Nonmanufacturing, Vol. 7, No. 1, USA, 2005.
  8. Fleischer, J., Masuawa, T., Schmidt, J. and Knoll, M. “New applications for micro-EDM”, Journal of Materials Processing Technology, Vol. 149, pp. 246-249, 2004.
  9. Morgan, C., Vallance, R.R. and Marsh, E.R. “Micro machining glass with polycrystalline diamond tools shaped by micro electro-discharge machining”, Journal of Micromechanics and Microengineering, Vol. 14, pp. 1687-1692, 2004.
  10. Kuo, C.L., and Huang, J.D. “Fabrication of series-pattern micro-disk electrode and its application in machining micro-slit of less than 10 μm”, International Journal of Machine Tools and Manufacture, Vol. 44, pp. 545-553, 2004.
  11. SeongMin Son, HanSeok Lim, Kumar, A., S., “Influences of pulsed power condition on the machining properties in micro EDM”, Journal of Materials Processing Technology, Vol. 190, pp. 73-76, 2007.
  12. Mahendran, S., Devarajan, R., Nagarajan, T., Majdi, A., “A Review of Micro-EDM”, Proceedings of the International Multiconference of Engineers and Computer Scientists, Vol.2, 2010.
  13. Muttamara, A., Janmanee, P., Fukuzawa, Y., “A Study of Micro-EDM on Silicon Nitride Using Electrode Material”s, International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 2010.
  14. Nguyen, M., D., “An experimental study on micro-EDM in low-resistivity deionized water using short voltage pulses”, Int. J. Adv. Manuf. Technol., Vol. 58, pp. 533-544, 2012.
  15. Yurdusev, M.A., Firat, M., Turan, M.E.“Adaptive neuro fuzzy inference system approach for municipal water consumption modeling”, Turkey. J. Hydro., 365(3-4), pp. 225-234, 2009.