About metastable cellular structure in additively manufactured austenitic stainless steels

D Kong, C Dong, S Wei, X Ni, L Zhang, R Li… - Additive …, 2021 - Elsevier
The quick-emerging paradigm of additive manufacturing technology has revealed salient
advantages in enabling the tailored-design of structural components with more exceptional …

A critical review on the effects of process-induced porosity on the mechanical properties of alloys fabricated by laser powder bed fusion

WH Kan, LNS Chiu, CVS Lim, Y Zhu, Y Tian… - Journal of Materials …, 2022 - Springer
Laser powder bed fusion (LPBF) is an emerging additive manufacturing technique that is
currently adopted by a number of industries for its ability to directly fabricate complex near …

[HTML][HTML] Multiaxial fatigue of additively manufactured metallic components: A review of the failure mechanisms and fatigue life prediction methodologies

P Foti, N Razavi, A Fatemi, F Berto - Progress in Materials Science, 2023 - Elsevier
Additive manufacturing techniques offer significant advantages over conventional
manufacturing methods. These include the possibility of realizing highly customized …

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

Z Zhan, H Li - International Journal of Fatigue, 2021 - Elsevier
In aerospace engineering, many additive manufacturing (AM) metal parts subject to fatigue
loadings, resulting in their fatigue failure. Therefore, it is essential to develop an advanced …

[HTML][HTML] A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing

E Salvati, A Tognan, L Laurenti, M Pelegatti… - Materials & Design, 2022 - Elsevier
Defects in additively manufactured materials are one of the leading sources of uncertainty in
mechanical fatigue. Fracture mechanics concepts are useful to evaluate their influence …

Physics-guided machine learning frameworks for fatigue life prediction of AM materials

L Wang, SP Zhu, C Luo, D Liao, Q Wang - International Journal of Fatigue, 2023 - Elsevier
Introducing random defects is a type of the dominant causes of fatigue scatter of additive
manufacturing (AM) materials. The fracture mechanics-based models oversimplify the …

Fatigue strength assessment of “as built” AlSi10Mg manufactured by SLM with different build orientations

S Beretta, M Gargourimotlagh, S Foletti… - International Journal of …, 2020 - Elsevier
This study investigated the effects of the 'as-built'condition on the fatigue properties of an
AlSi 10 Mg aluminium alloy manufactured by Selective Laser Melting (SLM) in different …

[HTML][HTML] Effects of manufacturing parameters and mechanical post-processing on stainless steel 316L processed by laser powder bed fusion

S Afkhami, M Dabiri, H Piili, T Björk - Materials Science and Engineering: A, 2021 - Elsevier
Stainless steel 316L is a frequently used metal in additive manufacturing owing to its
favorable strength-ductility synergy and corrosion resistance, and laser powder bed fusion …

Fatigue behavior and modeling for additive manufactured 304L stainless steel: The effect of surface roughness

S Lee, JW Pegues, N Shamsaei - International Journal of Fatigue, 2020 - Elsevier
The fatigue strength of additively manufactured metallic parts in their as-built surface
condition is mainly dominated by the surface roughness. Post-processing is often inevitable …

Influence of laser power and scanning strategy on residual stress distribution in additively manufactured 316L steel

P Bian, J Shi, Y Liu, Y Xie - Optics & Laser Technology, 2020 - Elsevier
Residual stress control in the metal components by additive manufacturing (AM) has been a
major challenge. To mitigate this challenge, proper selection of AM process parameters is of …