2010
DOI: 10.1016/j.proeng.2010.03.173
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Assessment of improvement techniques effect on fatigue behaviour of friction stir welded aerospace aluminium alloys

Abstract: This research work is based on analysis of the improvement of friction stir welded joints of the aerospace aluminium alloy AA2024-T351. Therefore, initially, the Taguchi method was used to obtain the optimal FSW parameters for improvement its mechanical behaviour. Then the fatigue resistance of base material, joints in as-welded condition and sound and defective FSW welded joints improved by grinding were detailed investigated. The influence of process parameters was addressed via statistical analysis of weld … Show more

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Cited by 36 publications
(16 citation statements)
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“…However, the work of James et al confirms that there is a significant increase in fatigue strength by surface finishing. The same comments apply to data in categories B0 and B0M taken from references …”
Section: Introductionmentioning
confidence: 99%
“…However, the work of James et al confirms that there is a significant increase in fatigue strength by surface finishing. The same comments apply to data in categories B0 and B0M taken from references …”
Section: Introductionmentioning
confidence: 99%
“…(6) for the evaluation of fatigue test data [10,17,18]. This equation is valid for fatigue lives that are within the range of 1 Â 10 3 -5 Â 10 8 cycles for non-ferrous metals such as aluminum and titanium [18]. Based on the results, a fatigue limit of 25 MPa (15% of the maximum average static fracture load) was determined for the AA5754/Ti6Al4V joints produced by FSpW.…”
Section: Strength and Failure Under Quasi-static Loading Conditionsmentioning
confidence: 99%
“…Zhou et al [66] have already shown, for instance, that the fatigue life of flawed welds can be on the order of 33-80 times shorter than that of ''flaw-free" welds. In this context, initial cracks and flaw were obtained from several authors from the literature [6,29,[69][70][71][72]14,73,74,68,75,76]. The results are shown in Fig.…”
Section: Input Data For Probabilistic Analysismentioning
confidence: 99%