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Application of Grey Based - Taguchi Method to Determine Multiple Performance Characteristics in Drilling of Aluminium Alloys - Review

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Author Affiliations

  • 1Department of Mechanical Engineering, R.V.R. and J.C.College of Engineering (Autonomous) Guntur, AP, INDIA
  • 2 Department of Mechanical Engineering, University College of Engineering (Autonomous) Andhra University, Visakhapatnam, AP, INDIA

Res. J. Engineering Sci., Volume 2, Issue (3), Pages 45-51, March,26 (2013)

Abstract

Metal cutting processes are important due to increased consumer demands for quality metal cutting related products (more precise tolerances and better product surface roughness) that has driven the metal cutting industry to continuously improve quality control of metal cutting processes. Aluminium alloys widely used for automotive and aerospace industries which durability, strength, and light weight are desired and these materials subjected to machining operations where the criterion of minimization of lubricant or coolant use is becoming more topicality. Manufacturer have desired to work without any lubricant because of reasons such as the cost of using it, supply and maintenance of the lubricant, hazard arising from the lubricant and the disposal of used lubricant, therefore an alternative methods of machining is either dry machining or machining with less lubricant. In this study, minimum quantity lubricant mixing with water technique in drilling process using Grey based - Taguchi method is used. A statistical technique, fractional factorial experiments and analysis of variance (ANOVA), has been employed to investigate the influence of cutting parameters. This paper presents a literature review on drilling of Aluminum alloys.

References

  1. Hamade R.F. and Ismail F., A case for aggressive drilling of aluminum, Journal of Materials Processing Technology, 166, 86-97 (2005)
  2. Pande S.S. and Relekar H.P., Investigations on reducing burr formation in drilling, International Journal of Machine Tool Design Research,26(3) 339–348 (1986)
  3. Lauderbaugh L. Ken An Exit Burr Model for Drilling of Metals, Transaction of the ASME, Journal of Manufacturing Science and Engineering, 23, 562-66 (2001)
  4. Lauderbaugh L., Ken Analysis of the effect of process parameters on exit burrs in drilling using a combined simulation and experimental approach, Journal of Materials Processing Technology, 209, 1909-1919 (2009)
  5. Nouri M., List G. and Gehin D., Effect of machining parameters and coating on wear mechanisms in dry drilling of aluminum alloys, International Journal of Machine Tools and Manufacturing,45, 1436-1442 (2005)
  6. List G., Nouri M., Gehin D., Gomez S., Manaud J.P., Petitcorps Y. L. and Girot F., Wear behavior of cemented carbide tools in dry machining of aluminum alloys, International Wear, 259, 1177-1189 (2005)
  7. Nair V.N., Abraham B., MacKay J., Nelder J.A., Box G. and Phadke M.S., et al. Taguchi’s parameter design: A panel discussion, Techno metrics, 34(2), 127–161 (1992)
  8. Rao Sathish U. and Rodrigues L.L. Raj, Applying wear maps in the optimization of machining parameters in drilling of polymer matrix composites – Review,Res.J.Recent Sci, 1(5) 75-82 (2012)
  9. Murthy B.R.N., Lewlyn L.R. Rodrigues and Anjaiah Devineni, Process Parameters optimization in GFRP drilling through integration of Taguchi and Response surface methodology, Res.J.Recent Sci.,1(6) 7-15 (2012)
  10. Kilickap E., Mesut H. and Ahmet Y., Optimization of drilling parameters on surface roughness in drilling of AlSi 1045 using response surface methodology and genetic algorithm, International Journal of Advanced Manufacturing Technology, 52, 79-88 (2011)
  11. Sofronas A., The Formation and Control of Drilling Burrs, Ph.D. Dissertation, The University of Detroit, (1975)
  12. Lee G.B., Digital Control for Burr Minimization in Drilling, Ph.D. Dissertation, Dept. of Mech. Eng., university of California, Berkeley (1989)
  13. Guo Y., Finite Element Modeling of Drilling Burr Formation Process, M.E. Dissertation, Dept. of Mech .Eng., The University of California, Berkeley (1997)
  14. Guo Y. and Dornfeld D.A., Finite Element Analysis of Drilling Burr Minimization with a Backup Material, Trans.of NAMRI/SME, 26, 207-212 ( 1998)
  15. Pascal C., Agbangnan D., Christine Tachaon, Justine Dangal, Anna Chrostowska, EricFouquet and Dominique C.K.Sohounhloue Optimization of the Extraction of Sorghum’s poly phenols for industrial production by membrane processes, Res.J.Recent Sci., 1(4), 1-8 (2012)
  16. Deng J., Introduction to Grey System, J. Grey System, 1(1), 1-24 (1989)
  17. Montgomery D.C., Design and Analysis of Experiments ,5th Ed., Wiley, New York, (2000)
  18. Myers R.H. and Montgomery D.C., Response surface methodology Process and Product optimization using designed experiments, Wiley, New York, Machinery’s Handbook, 25th Edition (2002)
  19. Deepak S.S.K., Application of different optimization methods for metal cutting operation – A Review,Res.J.Recent Sci., 1(3) 52-58 (2012)
  20. Rodrigues L.L.R, Kantharaj A.N., Kantharaj B., Freitas W.R.C. and Murthy B.R.N., Effect of Cutting Parameters on surface roughness and cutting force in turning Mild Steel, Res. J. Recent Sci.,1(10) 19-26 (2012)