Optimization of Friction Welding in Dissimilar Materials through Taguchi Based Grey Relational Analysis

C. Shanjeevi; S. Satish Kumar; P. Sathiya; Paul Jose

doi:10.4028/www.scientific.net/AMM.766-767.884

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 766-767Optimization of Friction Welding in Dissimilar...

Optimization of Friction Welding in Dissimilar Materials through Taguchi Based Grey Relational Analysis

Abstract:

Friction welding is widely used in determining the mass production process for joining dissimilar materials due to its environment friendliness, production efficiency and low heat input. In this study, Taguchi approach was applied in grey relational analysis to solve the multi-response optimization. The experimental result analysis is to achieve the maximization of tensile strength and minimization of weld time and metal loss. The optimal combinations of welding parameters are predicted through grey relational analysis for the multi-performance and optimal results were verified through confirmation test.

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Periodical:

Applied Mechanics and Materials (Volumes 766-767)

Pages:

884-889

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.766-767.884

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Online since:

June 2015

Authors:

C. Shanjeevi*, S. Satish Kumar, P. Sathiya, Paul Jose

Keywords:

Friction Welding, Grey Relational Analysis, Taguchi Method

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References

[1] Mumin sahin, joining of aluminium and copper materials with friction welding, Int J Adv Manuf Technol (2010) 49: 527–534.

DOI: 10.1007/s00170-009-2443-7

Google Scholar

[2] H. Siddhi Jailani, A. Rajadurai, B. Mohan, A. Senthil Kumar, T. Sornakumar, Multi-response optimisation of sintering parameters of Al–Si alloy/fly ash composite using Taguchi method and grey relational analysis, Int J Adv Manuf Technol (2009).

DOI: 10.1007/s00170-009-1973-3

Google Scholar

[3] P. Sathiya, S. Aravindan, R. Jeyapaul, P.M. Ajith and A. Noorul Haq, Optimizing the weld bead characteristics of super austenitic stainless steel through grey-based Taguchi method, Multidiscipline Modeling in Materials and Structures Vol. 6 No. 2, 2010 pp.206-213.

DOI: 10.1108/15736101011067993

Google Scholar

[4] A. Noorul Haq, P. Marimuthu, R. Jeyapaul, Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the taguchi method, Int.J. Adv. Manuf Technol (2008), 37: 250-255.

DOI: 10.1007/s00170-007-0981-4

Google Scholar

[5] Nihat Tosun, Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis, Int J Adv Manuf Technol (2006) 28: 450–455.

DOI: 10.1007/s00170-004-2386-y

Google Scholar

[6] M. Kaladhar, K.V. Subbaiah, Ch. Srinivasa Rao, K. Narayana Rao, Application of taguchi approach and utility concept in soving the multi-objective problem when turning AISI 202 austenitic stainless steel.

DOI: 10.25103/jestr.041.08

Google Scholar