Abstract
The issue of weld solidification cracking in fusion welding of highly alloyed aerospace aluminum alloys is eliminated in friction stir welding (FSW) because the base materials do not melt during welding. However, in FSW, the weld joint quality characteristics are found with highly sensitive for the variation of process variables. Therefore, this investigation deals with the analysis of the significance of FSW processing conditions, construction of stochastic tensile failure probability models for dissimilar AA6061-T6 with AA7075-T6 aluminum alloy friction stir welded joints, and postulation of their statistical predictive models. The experimental results have shown an effective mixing at the interface of both base alloys attributed to efficient bonding and resulted in the mechanical properties with the weld joints. A lowest tensile strength was achieved for the weld joint produced by the straight cylindrical profiled tool pin, which is 24.51% lower than the UTS of AA6061-T6 unwelded alloy while 59.09% lower than the AA7075-T6 unwelded alloy. The survival probability of the weld joints fabricated at 30 mm/min is 92% for 260 MPa applied stress, but the weld joints fabricated at 20 and 40 mm/min are 70 and 40%, respectively. For 50% reliability of the weld joint, the maximum allowable stress values suggested are 270, 288, and 255 MPa for processed at of 20, 30, and 40 mm/min welding speeds, respectively. The application stresses beyond 290 MPa, and the survival probability of the weld joints fabricated at 40 mm/min is zero. Empirical models postulated for tensile strength, ductility, and microhardness were fund with a reasonable agreement with their experimental measurements statistically. The derived reliability and empirical models can be used to estimate the reliability of the welded joints and predict their mechanical properties to estimate and enhance the functional performance of the welded structures in automobile and aerospace applications.
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References
B. Bagheri, M. Abbasi, M. Dadaei, Mechanical behavior and microstructure of AA6061-T6 joints made by friction stir vibration welding. J. Mater. Eng. Perform. 29(2), 1165–1175 (2020). https://doi.org/10.1007/s11665-020-04639-7
S.A. Khodir, T. Shibayanagi, Friction stir welding of dissimilar AA2024 and AA7075 aluminum alloys. Mater. Sci. Eng. B Solid-State Mater. Adv. Technol. 148(1–3), 82–87 (2008). https://doi.org/10.1016/j.mseb.2007.09.024
S.S. Emamian, M. Awang, F. Yusof, M. Sheikholeslam, M. Mehrpouya, Improving the friction stir welding tool life for joining the metal matrix composites. Int. J. Adv. Manuf. Technol. 106(7–8), 3217–3227 (2020). https://doi.org/10.1007/s00170-019-04837-1
K. Singh, G. Singh, H. Singh, Review on friction stir welding of magnesium alloys. J. Mag. Alloy. 6(4), 399–416 (2018). https://doi.org/10.1016/j.jma.2018.06.001
C. Zhang et al., Influence of tool rotational speed on local microstructure, mechanical and corrosion behavior of dissimilar AA2024/7075 joints fabricated by friction stir welding. J. Manuf. Process. 9, 214–226 (2020). https://doi.org/10.1016/j.jmapro.2019.11.031
M. Koilraj, V. Sundareswaran, S. Vijayan, S.R. Koteswara Rao, Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083: optimization of process parameters using Taguchi technique. Mater. Des. 42, 1–7 (2012). https://doi.org/10.1016/j.matdes.2012.02.016
N. Shanmuga Sundaram, N. Murugan, Tensile behavior of dissimilar friction stir welded joints of aluminium alloys. Mater. Des. 31(9), 4184–4193 (2010). https://doi.org/10.1016/j.matdes.2010.04.035
R. Padmanaban, V. Balusamy, R. Vaira Vignesh, Effect of friction stir welding process parameters on the tensile strength of dissimilar aluminum alloy AA2024-T3 and AA7075-T6 joints. Materwiss. Werksttech. 51(1), 17–27 (2020). https://doi.org/10.1002/mawe.201800184
N.Z. Khan, A.N. Siddiquee, Z.A. Khan, A.K. Mukhopadhyay, Mechanical and microstructural behavior of friction stir welded similar and dissimilar sheets of AA2219 and AA7475 aluminium alloys. J. Alloys Compd. 695, 2902–2908 (2017). https://doi.org/10.1016/j.jallcom.2016.11.389
A. Rasoulpouraghdam, I. Pustokhina, Dissimilar modified friction stir clinching of AA2024-AA6061 aluminum alloys: effects of materials positioning. Integr. Med. Res. 9(3), 6037–6047 (2020). https://doi.org/10.1016/j.jmrt.2020.04.007
A.A.M. da Silva, E. Arruti, G. Janeiro, E. Aldanondo, P. Alvarez, A. Echeverria, Material flow and mechanical behaviour of dissimilar AA2024-T3 and AA7075-T6 aluminium alloys friction stir welds. Mater. Des. 32(4), 2021–2027 (2011). https://doi.org/10.1016/j.matdes.2010.11.059
J.F. Guo, H.C. Chen, C.N. Sun, G. Bi, Z. Sun, J. Wei, Friction stir welding of dissimilar materials between AA6061 and AA7075 Al alloys effects of process parameters. Mater. Des. 56, 185–192 (2014). https://doi.org/10.1016/j.matdes.2013.10.082
S.K. Park, S.T. Hong, J.H. Park, K.Y. Park, Y.J. Kwon, H.J. Son, Effect of material locations on properties of friction stir welding joints of dissimilar aluminium alloys. Sci. Technol. Weld. Join. 15(4), 331–336 (2010). https://doi.org/10.1179/136217110X12714217309696
H. Jamshidi Aval, S. Serajzadeh, A.H. Kokabi, Thermo-mechanical and microstructural issues in dissimilar friction stir welding of AA5086-AA6061. J. Mater. Sci. 46(10), 3258–3268 (2011). https://doi.org/10.1007/s10853-010-5213-x
R.S. Mishra, Z.Y. Ma, Friction stir welding and processing. Mater. Sci. Eng. R Reports 50(1–2), 1–78 (2005). https://doi.org/10.1016/j.mser.2005.07.001
R. Palanivel, P. Koshy Mathews, N. Murugan, I. Dinaharan, Effect of tool rotational speed and pin profile on microstructure and tensile strength of dissimilar friction stir welded AA5083-H111 and AA6351-T6 aluminum alloys. Mater. Des. 40, 7–16 (2012). https://doi.org/10.1016/j.matdes.2012.03.027
X. Liu, S. Lan, J. Ni, Analysis of process parameters effects on friction stir welding of dissimilar aluminum alloy to advanced high strength steel. Mater. Des. 59, 50–62 (2014). https://doi.org/10.1016/j.matdes.2014.02.003
S.M. Senthil, R. Parameshwaran, S. Ragu Nathan, M. Bhuvanesh Kumar, K. Deepandurai, A multi-objective optimization of the friction stir welding process using RSM-based-desirability function approach for joining aluminum alloy 6063-T6 pipes. Struct. Multidiscip. Optim. (2020). https://doi.org/10.1007/s00158-020-02542-2
P. Prakash, R.S. Anand, S.K. Jha, Prediction of weld zone shape with effect of tool pin profile in friction stir welding process. J. Mech. Sci. Technol. 34(1), 279–287 (2020). https://doi.org/10.1007/s12206-019-1229-6
C.W. Yang, F.Y. Hung, T.S. Lui, L.H. Chen, J.Y. Juo, Weibull statistics for evaluating failure behaviors and joining reliability of friction stir spot welded 5052 aluminum alloy. Mater. Trans. 50(1), 145–151 (2009). https://doi.org/10.2320/matertrans.MRA2008341
G. Minak, L. Ceschini, I. Boromei, M. Ponte, Fatigue properties of friction stir welded particulate reinforced aluminium matrix composites. Int. J. Fatigue 32(1), 218–226 (2010). https://doi.org/10.1016/j.ijfatigue.2009.02.018
P.S. Effertz, V. Infante, L. Quintino, U. Suhuddin, S. Hanke, J.F. Dos Santos, Fatigue life assessment of friction spot welded 7050-T76 aluminium alloy using Weibull distribution. Int. J. Fatigue 87, 381–390 (2016). https://doi.org/10.1016/j.ijfatigue.2016.02.030
S. Rajakumar, V. Balasubramanian, Establishing relationships between mechanical properties of aluminium alloys and optimised friction stir welding process parameters. Mater. Des. 40, 17–35 (2012). https://doi.org/10.1016/j.matdes.2012.02.054
M.R.M. Aliha, M. Shahheidari, M. Bisadi, M. Akbari, S. Hossain, Mechanical and metallurgical properties of dissimilar AA6061-T6 and AA7277-T6 joint made by FSW technique. Int. J. Adv. Manuf. Technol. 86(9–12), 2551–2565 (2016). https://doi.org/10.1007/s00170-016-8341-x
M.H. Shojaeefard, R.A. Behnagh, M. Akbari, M.K.B. Givi, F. Farhani, Modelling and pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm. Mater. Des. 44, 190–198 (2013). https://doi.org/10.1016/j.matdes.2012.07.025
S. Kosaraju, V.G. Anne, Optimal machining conditions for turning Ti-6Al-4 V using response surface methodology. Adv. Manuf. 1(4), 329–339 (2013). https://doi.org/10.1007/s40436-013-0047-9
H. Heydari, M. Akbari, Investigating the effect of process parameters on the temperature field and mechanical properties in pulsed laser welding of Ti6Al4V alloy sheet using response surface methodology. Infrared Phys. Technol. 106, 103267 (2020). https://doi.org/10.1016/j.infrared.2020.103267
Y. Koli, N. Yuvaraj, S. Aravindan, Vipin, Multi-response Mathematical Modeling for Prediction of Weld Bead Geometry of AA6061-T6 Using Response Surface Methodology. Trans. Indian Inst. Met. 73(3), 645–666 (2020). https://doi.org/10.1007/s12666-020-01883-2
S. Mozammil, J. Karloopia, R. Verma, P.K. Jha, Mechanical response of friction stir butt weld Al-4.5%Cu/TiB2/2.5p in situ composite: statistical modelling and optimization. J. Alloys Compd. 826, 154184 (2020). https://doi.org/10.1016/j.jallcom.2020.154184
J.P. Kumar, Effect of process parameter characteristics on joint strength during ultrasonic metal welding of electrical contacts. Weld. World 64(1), 73–82 (2020). https://doi.org/10.1007/s40194-019-00820-2
B. Meyghani, M. Awang, A comparison between the flat and the curved friction stir welding (FSW) thermomechanical behaviour. Arch. Comput. Methods Eng. 27(2), 563–576 (2020). https://doi.org/10.1007/s11831-019-09319-x
A. Ghiasvand, M. Kazemi, M. Mahdipour Jalilian, H. Ahmadi Rashid, Effects of tool offset, pin offset, and alloys position on maximum temperature in dissimilar FSW of AA6061 and AA5086. Int. J. Mech. Mater. Eng. (2020). https://doi.org/10.1186/s40712-020-00118-y
A. Nath, P.K. Tiwari, A.K. Rai, S. Sundaram, Evaluation of carbon capture in competent microalgal consortium for enhanced biomass, lipid, and carbohydrate production. 3 Biotech 9(11), 1–15 (2019). https://doi.org/10.1007/s13205-019-1910-6
M. Ghosh, K. Kumar, S.V. Kailas, A.K. Ray, Optimization of friction stir welding parameters for dissimilar aluminum alloys. Mater. Des. 31(6), 3033–3037 (2010). https://doi.org/10.1016/j.matdes.2010.01.028
M. Ilangovan, S. Rajendra Boopathy, V. Balasubramanian, Effect of tool pin profile on microstructure and tensile properties of friction stir welded dissimilar AA6061–AA5086 aluminium alloy joints. Def. Technol. 11(2), 174–184 (2015). https://doi.org/10.1016/j.dt.2015.01.004
K. Elangovan, V. Balasubramanian, Influences of pin profile and rotational speed of the tool on the formation of friction stir processing zone in AA2219 aluminium alloy. Mater. Sci. Eng., A 459(1–2), 7–18 (2007). https://doi.org/10.1016/j.msea.2006.12.124
W.B. Lee, Y.M. Yeon, S.B. Jung, Mechanical properties related to microstructural variation of 6061 Al alloy joints by friction stir welding. Mater. Trans. 45(5), 1700–1705 (2004). https://doi.org/10.2320/matertrans.45.1700
K. Elangovan, V. Balasubramanian, S. Babu, Predicting tensile strength of friction stir welded AA6061 aluminium alloy joints by a mathematical model. Mater. Des. 30(1), 188–193 (2009). https://doi.org/10.1016/j.matdes.2008.04.037
P. Kah, R. Rajan, J. Martikainen, R. Suoranta, Investigation of weld defects in friction-stir welding and fusion welding of aluminium alloys. Int. J. Mech. Mater. Eng. (2015). https://doi.org/10.1186/s40712-015-0053-8
C.W. Yang, S.J. Jiang, Weibull statistical analysis of strength fluctuation for failure prediction and structural durability of friction stirwelded Al-Cu dissimilar joints correlated to metallurgical bonded characteristics. Materials (Basel) (2019). https://doi.org/10.3390/ma12020205
R. Taghiabadi, N. Aria, Statistical strength analysis of dissimilar AA2024-T6 and AA6061-T6 friction stir welded joints. J. Mater. Eng. Perform. 28(3), 1822–1832 (2019). https://doi.org/10.1007/s11665-019-03907-5
A. Ciaś, A. Czarski, The use of weibull statistics to quantify property variability in Fe-3Mn-0.8C sinter-hardened structurally inhomogeneous steels. Arch. Metall. Mater. 58(4), 1045–1052 (2013). https://doi.org/10.2478/amm-2013-0124
K. Salonitis, A. Kolios, Reliability assessment of cutting tool life based on surrogate approximation methods. Int. J. Adv. Manuf. Technol. 71(5–8), 1197–1208 (2014). https://doi.org/10.1007/s00170-013-5560-2
I.M. Kolthoff, V10 of Design-Expert ® Software: Top Tool for Design of Experiments (DOE) Rave reviews from the expert evaluators What’ s in it for You What’ s New, pp. 1–6 (2016)
C.M. Douglas, Design and Analysis of Experiments. Part 1 (Wiley, Hoboken, 2001)
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Babu Rao, T. Stochastic Tensile Failure Analysis on Dissimilar AA6061-T6 with AA7075-T6 Friction Stir Welded Joints and Predictive Modeling. J Fail. Anal. and Preven. 20, 1333–1350 (2020). https://doi.org/10.1007/s11668-020-00937-3
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DOI: https://doi.org/10.1007/s11668-020-00937-3