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Design of Experiments based Grey Relational Analysis in Various Machining Processes - A 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 Dept. of Mechanical Engineering, University College of Engineering, (Autonomous), Andhra University, Visakhapatnam, AP, INDIA

Res. J. Engineering Sci., Volume 2, Issue (1), Pages 21-26, January,26 (2013)

Abstract

Machining processes are widely used in the aerospace, aircraft and automotive industries although that non-traditional machining method have improved in the manufacturing industries in response to new and unusual machining requirement that could not be satisfied by conventional methods. Non-traditional machining including ultrasonic machining, abrasive water jet cutting, electrochemical machining (ECM), and chemical machining (CHM) are some of the examples. In machining processes, cutting fluids are used to lubricate the process and reducing the temperature that contributes of wear and tear to the cutting tool. Aluminum 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 a dry machining. 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 optimization of various machining processes using design of experiments based grey relational analysis.

References

  1. Pande S.S., Relekar H.P., Investigations on Reducing Burr Formation in Drilling, Int. J. Machine Tool Design Research,26(3), 339-348 (1986)
  2. Gillespie L.K., Deburring Precision Miniature Parts, Precision Engineering, 1(4), 189-198 (1979)
  3. Takazawa K., The Challenge of Burr Technology and Its Worldwide Trends, Buu. of Japan Society of Precision Eng., 22(3), 165-170 (1988)
  4. Sung-Lim Ko and Jing-Koo Lee, Analysis on Burr Formation in Drilling with New Concept Drill, J. of Materials Processing Technology,113(1), 392-398 (2001)
  5. 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)
  6. 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)
  7. Deepak S.S.K., Application of different optimization methods for metal cutting operation–A Review,Res.J.Recent Sci.,1(3), 52-58 (2012)
  8. Deng, JL Introduction to grey system theory, Journal of Grey System, 1, 1-24 (1989)
  9. Chakradhar D. and Venu Gopal A., Multi-Objective Optimization of Electrochemical machining of EN31 steel by Grey Relational Analysis International Journal of Modeling and Optimization, 1(2), 113-117 (2011)
  10. Show-Shyan Lin, Ming-Tsan Chuang, Jeong-Lian Wen, and Yung-Kuang Yang Optimization of 6061T6 CNC Boring Process Using the Taguchi Method and Grey Relational Analysis The Open Industrial and Manufacturing Engineering Journal, 2(1) 14-20 (2009)
  11. Sadasiva Rao T., Rajesh V., Venu Gopal A Taguchi based Grey Relational Analysis to Optimize Face Milling Process with Multiple Performance Characteristics International Conference on Trends in Industrial and Mechanical Engineering (ICTIME'2012) 4-25, (2012)
  12. Balasubramanian S. et al., Grey Relational Analysis to determine optimum process parameters for Wire Electro Discharge Machining (WEDM), International Journal of Engineering Science and Technology, 3(1) 95-101 (2011)
  13. Lu H.S., Chang C.K., Hwang N.C. and Chung C.T., Grey relational analysis coupled with principal component analysis for optimization design of the cutting parameters in high-speed end milling, Journal of materials processing technology,209(1) 3808–3817 (2009)
  14. Chin-Ping Fung, Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis, Wear,254(1) 298–306 (2003)
  15. Chorng-Jyh Tzeng, Yu-Hsin Lin, Yung-Kuang Yang, Ming-Chang Jeng Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis Journal of materials processing technology209(1) 2753–2759 (2009)
  16. 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)
  17. Ulas C aydas, Ahmet Hasc alk Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics, Optics & Laser Technology40(1) 987–994 (2008)
  18. Nihat Tosun,Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis, Int J Adv Manuf Technology,28(1) 450–455 (2006)
  19. Davim J.P. and Reis P., Drilling of carbon fiber reinforced plastic manufactured by auto clave experimental and statistical study. Materials and Design, 24(5) 315-324 (2003)
  20. Kurt M., Bagci E. and Kaynak Y., Application of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling processes, International Journal of Advanced Manufacturing Technology,40(5-6) 458-469 (2009)
  21. Murthy BRN, Lewlyn LR 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)
  22. Rajmohan T., Palanikumar K. and Kathirvel M., Optimization of machining parameters in drilling hybrid aluminium metal matrix composites, Trans. Nonferrous Met. Soc. China, 22(1) 1286-1297 (2012)