Journal of Computational & Applied Research in Mechanical Engineering (JCARME)

Document Type : Research Paper

Authors

¹ Department of Mechanical Engineering, Urmia University of Technology, Urmia, Iran

² School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran

https://doi.org/10.22061/jcarme.2014.74

Abstract

This study focused on the optimization of Al—Mg to CuZn34 friction stir lap welding (FSLW) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using Grey relational analysis (GRA). First, the degree of freedom was calculated for the system. Then, the experiments based on the target values and number of considered levels, corresponding orthogonal array, Grey relational coefficient and Grey relational grade were performed. In the next step, Grey relational graph of each level was sketched. The performed graph and analysis of Grey results proved the impact of rotational speed and traverse speed on fracture load of resultant joints. Finally, the optimum amount of each parameter for better strength of the welds was obtained. This study showed feasibility of the application of Grey relational analysis for achieving dissimilar friction stir lap welds with the highest quality.

Graphical Abstract

Keywords

dor

20.1001.1.22287922.2014.4.1.6.9

Main Subjects

Welding

References

[1] R. Zettler, S. Lomolino, J. F. Dos Santos, T. Donath, F. Beckmann, T. Lippman and D. Lohwasser, “Effect of Tool Geometry and Process Parameters on Material Flow in FSW of an AA 2024-T351 Alloy”, Weld in World, Vol. 49, No. (3-4), pp. 41-46, (2005).

[2] P. Cavaliere and A. Squillace, “Effect of welding parameters on mechanical and microstructural properties of dissimilar AA6082-AA2024 joints produced by Friction Stir Welding”, Mater Sci forum, Vol. 519, No. 2, pp. 1163-1168, (2006).

[3] R. S. Mishra and Z. Y. Ma,“Friction Stir Welding and Processing”, Mater SciEng R., Vol. 50, No. 3, pp.1-78, (2005).

[4] V. Soundararajan, E. Yarrapareddy and R. Kovacevic,“Investigation of Friction Stir Lap Welding of Aluminum Alloys AA5182 and AA6022”, J. Mater Eng. Perform, Vol. 16, No. 4, pp. 477-484, (2006).

[5] L. Dubourg, A. Merati and M. Jahazi, “Process Optimization and Mechanical Properties of Friction Stir Lap Welds of 7075-T6 Stringers on 2024-T3 Skin”, Mater. Des., Vol. 31, No. 7, pp. 3324-3330, (2010).

[6] J. T. Xiong, J. L. Li and J. W. Qian, “High Strength Lap Joint of Aluminum and Stainless Steels Fabricated by Friction Stir Welding with Cutting Pin”, Sci Technol Weld Join,Vol. 17, No. 3, pp. 196-201, (2012).

[7] M. Movahedi, A. H. Kokabi, S. M. SeyedReihani and H. Najafi, “Effect of tool travel and rotation speeds on weld zone defects and joint strength of aluminium steel lap joints made by friction stir welding”, Science and Technology of Welding and Joining, Vol. 17, No. 2, pp. 162-167, (2012).

[8] M. Akbari, R. AbdiBehnag and A. Dadavand,“Effect of Materials Position on Friction Stir Lap Welding of Al to Cu”, Sci Technol Weld Join,Vol. 17, No. 7, pp. 581-588, (2012).

[9] A. Esmaeili, M. K. BesharatiGivi and H. R. ZareieRajani, “A Metallurgical and Mechanical Study on Dissimilar Friction Stir Welding of Aluminum 1050 to Brass (CuZn30)”,Mater SciEng A, Vol. 528, No. (22-23), pp. 7093-7102, (2011).

[10] C. L. Lin, “Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics”, J. Mater Process Technol, Vol. 19, No. 2, pp. 209-220, (2004).

[11] W. B. Lee, M. Schmuecker, U. A. Mercardo, G. , Biallas and S. B. Jung, “Interfacial Reaction in Steel-Aluminum Joints Made by Friction Stir Welding”, ScriptaMaterialia, Vol. 55, No. 4, pp. 355-358, (2006).

[12] DIN EN ISO 2768-1:2013. Mechanical joining - Destructive testing of joints- Specimen dimensions and test procedure for tensile shear testing of single joints.

[13] M. Akbari and R. AbdiBehnagh, “Dissimilar Friction-Stir Lap Joining of 5083 Aluminum Alloy to CuZn34 Brass”, Metall Mater Trans B,Vol. 43, No. 5, pp.1177-1186, (2012).

[14] B. C. Routara, B. K. Nanda, A. K. Sahoo, D. N. Thato and B. B. Nayak, “Optimization of Multiple Performance Characteristics in Abrasive Jet Machining Using Grey Relational Analysis”, Int J. Manufact. Technol. Manag, Vol. 24, No. (1-3), pp. 4-22, (2011).

[15] M. Nalbant, H. Gokkaya and G. Sur, “Application of Taguchi Method in the Optimization of Cutting Parameters for Surface Roughness in Turning”, J. Mater Process Technol,Vol. 28, No. 4, pp. 1379-1385, (2007).

[16] L. K. Pan, C. C. Wang, S. L. Wei and H. F. Sher,“Optimizing Multiple Quality Characteristics via Taguchi Method-Based Grey Analysis”, J. Mater Process Technol,Vol. 182, No. (1-3), pp. 107-116, (2007).

[17] H. S. Lu, C. K. Chang, N. C. Hwang and C. T. Chung, “Grey Relational Analysis Coupled with Principal Component Analysis for Optimization Design of the Cutting Parameters in High-Speed End Milling”, J. Mater Process Technol., Vol. 209, No. 8, pp. 3808-3817, (2009).

[18] J. Kopac and P. Krajnik, “Robust Design of Flank Milling Parameters Based on Grey-Taguchi Method”, J. Mater Process Technol,Vol. 191, No. (1-3), pp. 400-403, (2007).

[19] J. L. Lin and Y. S. Tarng, “Optimization of the Multi-Response Process by the Taguchi Method with Grey Relational Analysis”, J. Grey Sys., Vol. 4, No. 4, pp. 355- 370, (1998).

[20] U. Cayadas and A. Hascalik, “Use of the Grey Relational Analysis to Determine Optimum Laser Cutting Parameters with Multi-Performance Characteristics”, Optics & Laser Technol, Vol. 40, No. 7, pp. 987-994, (2008).

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