Optimization of EBW Parameters for 2219 AL-Alloy Using Grey Relation Method


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Aluminum alloys are the subject of increasing interest in the automotive, as well as aircraft industries. Concerning the assembly, welding was extensively applied in the car industry. Nevertheless, welding defects generated during the process result in reduction in strength of both the weld; and heat affected zone which could limit its applications. Electron beam welding (EBW) has unique advantages over other traditional fusion welding methods due to its high-energy density, deep penetration, large depth-to-width ratio and the resulting very small heat affected zone. Optimization of EB welded joint of 2219 Al-alloy, from the yield strength, hardness and bead geometry point of view, is the topic of this study. Taguchi methodology with grey relation analysis has been applied to find the optimal welding parameters for welding of a sheet of the mentioned aluminum alloy with electron beam. The optimal welding parameters have been selected and verified experimentally.



Advanced Materials Research (Volumes 591-593)

Edited by:

Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen




M. Sobih et al., "Optimization of EBW Parameters for 2219 AL-Alloy Using Grey Relation Method", Advanced Materials Research, Vols. 591-593, pp. 507-514, 2012

Online since:

November 2012




[19] he reported that the maximum yield strength of 2219 Al-alloys welded by Gas Tungsten Arc Welding (GTAW) is 204 MPa (52% of the yield strength of the base metal). Table 6 Response table for the grey relational grade EBW parameters grey relational grade γi Level 1 Level 2 Level 3 V 0. 5266 0. 6562 0. 7903 Ib 0. 5741 0. 7342 0. 6648 If 0. 7496 0. 6133 0. 6101 SS 0. 6631 0. 6385 0. 6715 Table 7 Results of welding performance using the initial and optimal parameters Initial welding parameters Optimal welding parameters Setting level Hardness Yield strength PD BW v2Ib2If2SS1 50 136 5 4. 55 v3Ib2If1SS3 78. 7 243 5 3. 51 Conclusions The use of the grey relational analysis to optimize the EBW of 2219 Al-alloys with the multiple performance characteristics led to the following conclusions. · Grey relational analysis was used to obtain the optimal welding process parameters combination which is: welding speed at level 3 (10mm/s); beam current at level 2 (18mA); focus current at level 1 (909mA); and the sweep size at level 3 (6). · The results of the confirmation tests prove that the performance characteristics of the EBW process, yield tensile strength, hardness, penetration depth, bead width, are improved through the optimal combination of the EBW parameters. · Taguchi orthogonal array (OA) was used successfully to reduce number of experiments. Refrences.

DOI: https://doi.org/10.15407/tpwj2016.06.28

[1] Georgr, E and Totten, G.E., eds Hand book of Aluminum, Volume 1: Physical metallurgy and processes. 2003, Marcel Dekker, inc., New York, USA.

[2] Toros, S., Ozturk, F., and Kacar, L., Review of worm forming of aluminum-magnesium alloys. Journal of materials processing technology, 2008, 207 (1-3) pp.1-12.

DOI: https://doi.org/10.1016/j.jmatprotec.2008.03.057

[3] Mathers, G., The welding of aluminum and its alloys, 2002, woodhead publishing ltd.

[4] Kearns, W.H., Welding handbook, 1997, Americal welding society.

[5] Benedict, G.F., Nontraditional manufacturing processes, 1st ed., 1987, New York, Marcel Dekker inc., 381.

[6] Shakeri, H.R., Buste, A., Worswick, M.J., Clarke, J.A., Feng, F., Jain, M. and Finn, M., Study of damage initiation and fracture in aluminum tailor welded blanks made via different welding techniques, Journal of light metals, 2002, 2(2), pp.95-110.

DOI: https://doi.org/10.1016/s1471-5317(02)00028-7

[7] Elseddig, Z.A., Sobih, M., Almazy, Kh., Sallam, M.T., Experimental investigation of electron beam welding of AA1350 aluminum alloy, in the 14th international conference on Applied mechanics and mechanical engineering, 2010 Cairo Egypt.

DOI: https://doi.org/10.1155/2016/5671532

[8] Frey, D.D., Engelhardt, F. and Greitzer, E.M., A role one –factor-at-a-time: experimentation in parameter design, research in engineering design, 2003, 14(2), pp.65-74.

DOI: https://doi.org/10.1007/s00163-002-0026-9

[9] Sobir G.T., Taguchi's quality engineering Hand book. 2005: John Wiley.

[10] Liao, Y.S., Huang, J.T. and Su, H.C., A study on the machining-parameters optimization of wire electrical discharge machining. Journal of Materials Processing Technology, 1997. 71: pp.487-493.

DOI: https://doi.org/10.1016/s0924-0136(97)00117-9

[11] Pan, L.K., Wang, C.C. and Hsiao, Y.C., Optimization of Nd: YAG laser welding onto magnesium alloy via Taguchi analysis. Optics & Laser Technology, 2004. 37: pp.33-42.

DOI: https://doi.org/10.1016/j.optlastec.2004.02.007

[12] Yang, W.H. and Tarng, Y.S., Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of Materials Processing Technology, 1998. 84: pp.122-129.

DOI: https://doi.org/10.1016/s0924-0136(98)00079-x

[13] Al-Refaie, A., and Li, M., N-G Approach for Solving the Multiresponse Problem in Taguchi Method. in in The world congress on engineering. 2008. U. K.

[14] Tarng, Y.S., Juang, S.C. and Chang, C.H., The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing. Journal of Materials Processing Technology, 2002. 128: pp.1-6.

DOI: https://doi.org/10.1016/s0924-0136(01)01261-4

[15] Pan, L.K., Wang, C.C. Wei, S.L. and Sher, H.F., Optimizing multiple quality characteristics via Taguchi method-based Grey analysis. Journal of Materials Processing Technology, 2007. 182: pp.107-116.

DOI: https://doi.org/10.1016/j.jmatprotec.2006.07.015

[16] Chi, C.T., Chao, C., Liu, T. and Wang, C.C., Relational analysis between parameters and defects for electron beam welding of AZ-series magnesium alloys. Journal of Vacuum, 2008: pp.1177-2.

DOI: https://doi.org/10.1016/j.vacuum.2007.12.019

[17] Tarng, Y.S. and Yang, W.H., Optimisation of the Weld Bead Geometry in Gas Tungsten Arc Welding by the Taguchi Method. The International Journal of advanced manufacturing technology, 1998. 14: pp.549-554.

DOI: https://doi.org/10.1007/bf01301698

[18] Yang, K. and. El-Haik, B. S, Design for six sigma : A roadmap for product development. 2nd ed. 2009, New York: McGraw-Hill Companies, Inc. 741.

[19] Koteswara, S.R., Madhhusudhan, G., Srinivasa, K., Srinivasa, P., Kamaraj, M., and Prasad, K., Gas tungsten arc welded AA 2219 alloy using scandium containing fillers mechanical and corrosion behavior. Trans. Indian Inst. Met., 2004. 57(5): p.451.