2021
DOI: 10.1016/j.addma.2021.101989
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A probabilistic approach for high cycle fatigue of Wire and Arc Additive Manufactured parts taking into account process-induced pores

Abstract: Wire and Arc Additive Manufacturing (WAAM) is a direct-energy deposition technique (unlike SLM or EBM) that builds up a part in a layer-by-layer fashion, each layer being constituted of interlaced weld beads. It is the best suited Additive Manufacturing (AM) technique for large structures thanks to its high deposition rate (5kg/h). The resulting material shows a rough surface, strong residual stress induced by its complex thermal history, a heterogeneous microstructure marked by the different weld passes as we… Show more

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Cited by 14 publications
(8 citation statements)
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“…FEA can predict the fatigue life before manufacturing, as shown in Figure 8. To analyze the variability, novel numerical studies have considered the initial defects in probabilistic FEA [18][19][20]38]. However, the variability in the fatigue life can be expressed by calibrating the fatigue parameters in the SWT method, in a similar manner as that performed for the averaged fatigue life in Figure 8 and Table 3.…”
Section: Discussionmentioning
confidence: 99%
“…FEA can predict the fatigue life before manufacturing, as shown in Figure 8. To analyze the variability, novel numerical studies have considered the initial defects in probabilistic FEA [18][19][20]38]. However, the variability in the fatigue life can be expressed by calibrating the fatigue parameters in the SWT method, in a similar manner as that performed for the averaged fatigue life in Figure 8 and Table 3.…”
Section: Discussionmentioning
confidence: 99%
“…However, only few studies have been conducted on CPTi [31], although the usefulness of CPTi has long been reported [32]. Another numerical approach to consider the influence of initial defects can be found in [8,33], which developed a probabilistic FEA for bronze-aluminum wire arc AM [33].…”
Section: Discussionmentioning
confidence: 99%
“…This model was validated via calculation and test comparisons at a structural scale for the application to copper alloy sand‐cast ship propellers by Ezanno et al 103 Taking inspiration from the aforementioned investigations, Mostofizadeh et al 104 utilized the model presented in Equation (45) to analyze both homogeneous and heterogeneous NiTi shape memory alloys (SMAs). Bercelli et al 105 similarly applied this model to wire and arc additive manufacturing (WAAM) samples, accounting for rare WAAM defects by generating a database of representative pore cases. This allowed them to determine the complete bundle of S–N curves for each numerical porous structure.…”
Section: Fatigue Life Prediction Methodsmentioning
confidence: 99%