journal article·2018-02

A study on fatigue behavior of MIG-welded Al-Mg alloy with different filler-wire materials under mean stress

Vidit Gaur, Manabu Enoki, Toshiya Okada, Syohei Yomogida

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Abstract

Abstract Cylindrical specimens of ϕ 5 mm were cut from the weld bead of 50 mm thick MIG-welded Al-Mg alloy (Al-5083) plates with two different filler materials: Al-5183 (commonly used) and Al-5.8%Mg (special hardened new alloy). Load-controlled fatigue tests were done at different stress-ratios ( R = - 1 , - 0.5 , 0.1 , 0.5 ) using sinusoidal wave at 30 Hz and the performance of three popular finite-life empirical models: Gerber’s parabola, Smith-Watson-Topper’s model and Walker’s model, was studied using the experimental data. Fatigue lives and endurance limits of both materials did not differ significantly, but they got reduced when the R-ratio was increased and the endurance limit followed the Gerber’s parabola. A non-monotonic trend in the slope of S-N curves was observed: first increases and then decreases. Fracture surface observations revealed majority of surface-initiated failures at lower R-ratios ( - 1 , - 0.5 ), while for higher R-ratios ( 0.1 , 0.5 ), defect-induced failures were predominant. This shift in crack initiation site was attributed to the local cyclic plasticity due to stress-concentration and demonstrated using elastic-plastic finite element (FE) simulations. The detrimental effect of mean-stress on fatigue lives was attributed to combined effects of reduction in crack-nucleation time: due to stress concentration at defects and the crack closure effects. The three fatigue life models predicted monotonic decrease in slopes of S-N curves and thus did not give best results. A new model, based on Walker’s model, was proposed which was able to capture the observed non-monotonic trend of the slopes of S-N curves and predicted fatigue lives better than these models.
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Research context

OpenAlex topics: Advanced Welding Techniques Analysis · Welding Techniques and Residual Stresses · Metal Forming Simulation Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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