Optimization of process parameters to maximize ultimate tensile strength of friction stir welded dissimilar aluminum alloys using response surface methodology

Abstract

Aluminium alloys generally present low weldability by traditional fusion welding process. Development of the friction stir welding (FSW) has provided an alternative improved way of producing aluminium joints in a faster and reliable manner. The quality of a weld joint is stalwartly influenced by process parameter used during welding. An approach to develop a mathematical model was studied for predicting and optimizing the process parameters of dissimilar aluminum alloy (AA6351 T6-AA5083 H111) joints by incorporating the FSW process parameters such as tool pin profile, tool rotational speed welding speed and axial force. The effects of the FSW process parameters on the ultimate tensile strength (UTS) of friction welded dissimilar joints were discussed. Optimization was carried out to maximize the UTS using response surface methodology (RSM) and the identified optimum FSW welding parameters were reported.

Keywords

frictions stir welding / dissimilar aluminum alloy / tool pin profile / design of experiments / RSM / material flow behavior / optimization

References

[1] MishraaR S, MaZ Y. Frictions stir welding and processing [J]. Material Science Engineering R, 2005, 50(1/2): 1-78

[2] NandanR, DebroyT, BhadeshiaH K D H. Recent advances in friction-stir welding-process, weldment structure and properties [J]. Progress in Material Science, 2008, 53(6): 980-1023

[3] UematsuY, TokajiK, ShibataH, TozakiY, OhmuneT. Fatigue behaviour of friction stir welds without neither welding flash nor flaw in several aluminium alloys[J]. International Journal of Fatigue, 2009, 31(10): 1443-1453

[4] CavaliereP, CerriE, SquillaceA. Mechanical responses of 2024–7075 aluminium alloys joined by friction stir welding [J]. Journal of Material Science, 2005, 40(14): 3669-3676

[5] SaeidT, Abdollah-zadehA, SazgariB. Weldability and mechanical properties of dissimilar aluminum-copper lap joints made by friction stir welding [J]. Journal of Alloys and Compounds, 2010, 490(1/2): 652-655

[6] Amancio-filhoS T, SheikhiS, Dos SantosJ F, BalfariniC. Preliminary study on the microstructure and mechanical properties of dissimilar friction stir welds in aircraft aluminium alloys 2024-T351 and 6056-T4 [J]. Journal of Material Processing Technology, 2008, 206(1/2/3): 132-142

[7] HuseyinU, ClaudioD D, AlbertoA, TommasoG, CarlaG. Friction stir welding of dissimilar Al 6013-T4 to x5CrNi18-10 stainless steel [J]. Materials and Design, 2005, 26(1): 41-46

[8] YanY, ZhangD-t, QiuC, ZhangWen. Dissimilar friction stir welding between 5052 aluminum alloy and AZ31 magnesium alloy [J]. Transactions of Nonferrous Material Society of China, 2010, 20(s2): s619-s623

[9] LomolinoS, TovoR, Dos SantosJ. On the fatigue behavior and design curves of friction stir butt welded Al alloys [J]. International Journal of Fatigue, 2005, 27(3): 305-316

[10] OuyangJ H, KovacevicR. Material flow and microstructure of the friction stir butt welds of the same and dissimilar aluminum alloys [J]. Journal of Material Engineering Performance, 2002, 11(1): 51-63

[11] GrumJ, SlabeJ M. The use of factorial design and response surface methodology for fast determination of optimal heat treatment conditions of different Ni-Co-Mo surfaced layers [J]. Journal of Materials Processing Technology, 2004, 155(30): 2026-2032

[12] GunarajV, MuruganN. Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes [J]. Journal of Material Proceeding Technology, 1999, 88(1/2/3): 266-275

[13] BalasubramanianM, JayabalanV, BalasubramanianV. Prediction and optimization of pulsed current gas tungsten arc welding process parameters to obtain sound weld pool geometry in titanium alloy using lexicographic method [J]. Journal of Materials Engineering and Performance, 2009, 18(7): 871-877

[14] PalanivelR, KoshymathewsP. Prediction and optimization of process parameter of friction stir welded AA5083-H111 aluminum alloy using response surface methodology [J]. Journal of Central South University, 2012, 19(1): 1-8

[15] ASTM E8-04, Standard test method for tension testing of metallic materials [S].

[16] KarthikeyanR, BalasubramanianV. Predictions of the optimized friction stir spot welding process parameters for joining AA2024 aluminum alloy using RSM [J]. International Journal of Advanced Manufacturing Technology, 2010, 51(1/2/3/4): 173-183

[17] KimI S, SonK J, YangY S, YaragadaP K D V. Sensitivity analysis for process parameter parameters in GMA welding process using factorial design method [J]. International Journal of Machine Tools and Manufacture, 2003, 43(8): 763-776

[18] ElangovanK, BalasubramanianV. Influences of pin profile and rotational speed of the tool on the formation of friction stir processing zone in AA2219 aluminum alloy [J]. Material Science and Engineering A, 2007, 459(1/2): 7-18

[19] ColliganJ, PaulJ, Konkol, JamesJ, Fisher Pickens JosephR. Friction stir welding demonstrated for combat vehicle construction [J]. Welding Journal, 2003, 82(3): 34-40

[20] ElangovanK, BalasubramanianV, ValliappanM. Influences of tool pin profile and axial force on the formation of friction stir processing zone in AA6061 aluminium alloy [J]. International Journal of Advanced Manufacturing Technology, 2008, 38(3/4): 285-295