Effect of Welding Parameters on Tensile Properties and Fatigue Behavior of Friction Stir Welded 2014-T6 Aluminum Alloy

Aydın, Hakan; Tutar, Mümin; Durmuş, Ali; Bayram, Ali; Sayaca, Tayfun

doi:10.1007/s12666-011-0069-6

Cited by 38 publications

(27 citation statements)

References 23 publications

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“…It was found that the fatigue strength of the FSW weld at 10 7 cycles was lower than that of the base metal [5], but higher than that of traditional fusion welds [3,6]. Further, welding parameters [3,7,8] and surface quality [9,10] of the FSW welds exerted a significant effect on the fatigue strength of the weld, and the fatigue crack growth resistance of the nugget zone was the lowest throughout the FSW weld, due to an intergranular failure mechanism [11]. Generally, the cyclic loading probably extends beyond a million cycles in the working service of aerospace and transport structures [12,13].…”

Section: Introductionmentioning

confidence: 99%

Fatigue crack initiation behaviors throughout friction stir welded joints in AA7075-T6 in ultrasonic fatigue

Liu

Dong

et al. 2015

International Journal of Fatigue

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This paper presents the results of experimental investigation on fatigue behaviors of friction stir welded joints in AA7075-T6 with ultrasonic fatigue test system (20 kHz). Two kinds of particles, Fe-rich intermetallic compounds and Mg 2 Si-based particles, governed the fatigue crack initiation. The plastic deformation and recrystallization during welding process led to the changes in particle size and micro crack occurrence between thermo-mechanically affected zone (TMAZ) and nugget zone (NZ). Therefore, the fatigue crack initiation sites leaned to be located at the TMAZ in short fatigue life, or at the NZ in very high cycle fatigue regime.

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Section: Introductionmentioning

confidence: 99%

Fatigue crack initiation behaviors throughout friction stir welded joints in AA7075-T6 in ultrasonic fatigue

Liu

Dong

et al. 2015

International Journal of Fatigue

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“…The effect of different parameters on the welding joint strength has been investigated by many researchers. [8][9][10][11] Taguchi with grey relational analysis (GRA) has been used by many researchers in their respective fields for optimization of processes. [12][13][14][15][16][17][18] Taguchi technique has been used, 19 but GRA for FSW has been used rarely, as the process has been used in aviation industry and marine industry; therefore, optimization of the process is very essential for having good factor of safety at different applications.…”

Section: Introductionmentioning

confidence: 99%

Friction stir welding of AA5083 aluminium alloy: Multi-response optimization using Taguchi-based grey relational analysis

Kundu

Singh

2016

Advances in Mechanical Engineering

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In this research work, friction stir welding of aluminium alloy AA5083-H321 is performed for optimization of the process parameters for maximum joint strength. Taguchi's L 9 orthogonal array has been used for three parameters -tool rotational speed, traverse speed and tool tilt angle. Multi-response optimization has been carried out through Taguchi-based grey relational analysis. The grey relational grade has been calculated for all three responses -ultimate tensile strength, percentage elongation and micro-hardness. Analysis of variance is the tool used for obtaining grey relational grade to find out the significant process parameters. Tool rotational speed and traverse speed are the two most significant parameters which influence most of the quality characteristics of friction stir welded joint. Validation of the predicted values done through confirmation experiments at optimum setting shows a good agreement with the experimental values.

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“…In friction stir welding, high temperature below the melting point is attained through friction between tool shoulder and joining sheets as well as frictional heat produced by tool pin and the semi-solid material through the plastic flow of materials under the tool shoulder. Effect of different parameters on welding joint strength has been investigated by many researchers (Aydin, Tutar, Durmuş, Bayram, & Sayaca, 2012;Bagheri Hariri, Gholami Shiri, Yaghoubinezhad, & Mohammadi Rahvard, 2013;Kumar & Kailas, 2008;Verma & Misra, 2015). Taguchi with grey relational analysis has been used by many researchers in their respective fields for optimisation of processes (Ghetiya, Patel, & Kavar, 2016;Kasman, 2013;Kesharwani, Panda, & Pal, 2014;Singh & Kumar, 2006a, 2006b.…”

Section: Introductionmentioning

confidence: 99%

Friction stir welding: multi-response optimisation using Taguchi-based GRA

Kundu

Singh

2016

Production & Manufacturing Research

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In present experimental work, friction stir welding of aluminium alloy 5083-H321 is performed for optimisation of process parameters for maximum tensile strength. Taguchi's L 9 orthogonal array has been used for three parameters -tool rotational speed (TRS), traverse speed (TS), and tool tilt angle (TTA) with three levels. Multi-response optimisation has been carried out through Taguchi-based grey relational analysis. The grey relational grade has been calculated for all three responsesultimate tensile strength, percentage elongation, and micro-hardness. Analysis of variance is the tool used for obtaining grey relational grade to find out the significant process parameters. TRS and TS are the two most significant parameters which influence most of the quality characteristics of friction stir welded joint. Validation of predicted values done through confirmation experiments at optimum setting shows a good agreement with experimental values.

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Effect of Welding Parameters on Tensile Properties and Fatigue Behavior of Friction Stir Welded 2014-T6 Aluminum Alloy

Cited by 38 publications

References 23 publications

Fatigue crack initiation behaviors throughout friction stir welded joints in AA7075-T6 in ultrasonic fatigue

Fatigue crack initiation behaviors throughout friction stir welded joints in AA7075-T6 in ultrasonic fatigue

Friction stir welding of AA5083 aluminium alloy: Multi-response optimization using Taguchi-based grey relational analysis

Friction stir welding: multi-response optimisation using Taguchi-based GRA

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