Defects and anomalies in powder bed fusion metal additive manufacturing

A Mostafaei, C Zhao, Y He, SR Ghiaasiaan… - Current Opinion in Solid …, 2022 - Elsevier
Metal additive manufacturing is a disruptive technology that is revolutionizing the
manufacturing industry. Despite its unrivaled capability for directly fabricating metal parts …

Role of porosity defects in metal 3D printing: Formation mechanisms, impacts on properties and mitigation strategies

S Wang, J Ning, L Zhu, Z Yang, W Yan, Y Dun, P Xue… - Materials Today, 2022 - Elsevier
Abstract Metal 3D printing (3DP), a state-of-the-art manufacturing technology that brings the
potential to fabricate complex structures at low cost and reduced energy consumption, has …

[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 …

Defect sensitivity and fatigue design: Deterministic and probabilistic aspects in AM metallic materials

X Niu, C He, SP Zhu, P Foti, F Berto, L Wang… - Progress in Materials …, 2024 - Elsevier
Fatigue performance in both traditional and additively manufactured materials is severely
affected by the presence of defects, which deserve special attention to ensure the in-service …

[HTML][HTML] Probabilistic defect-based modelling of fatigue strength for incomplete datasets assisted by literature data

A Tognan, E Salvati - International Journal of Fatigue, 2023 - Elsevier
Probabilistic defect-tolerant fatigue design protocols have become the leading paradigms in
structural engineering. To effectively deal with this problem, El Haddad's (EH) curves are …

Fatigue performance of metal additive manufacturing: a comprehensive overview

H Javidrad, B Koc, H Bayraktar, U Simsek… - Virtual and Physical …, 2024 - Taylor & Francis
Fatigue life assessment of metal additive manufacturing (AM) products has remained
challenging due to the uncertainty of as–built defects, heterogeneity of the microstructure …

Fatigue strength and life assessment of L-PBF 316L stainless steel showing process and corrosion related defects

P Merot, F Morel, E Pessard, LG Mayorga… - Engineering Fracture …, 2022 - Elsevier
The present work focuses on the modelling of the fatigue behaviour of a 316L produced by
laser powder bed fusion containing various defect populations: Lacks of fusion, corrosion …

Benchmark of a probabilistic fatigue software based on machined and as-built components manufactured in AlSi10Mg by L-PBF

F Sausto, S Romano, L Patriarca, S Miccoli… - International Journal of …, 2022 - Elsevier
The possibility to obtain optimized components with a reduced weight is the main driver of
space and aeronautic industries in seriously considering the metal additive manufacturing …

Extreme variation in fatigue: Fatigue life prediction and dependence on build volume location in laser powder bed fusion of 17-4 stainless steel

J Berez, L Sheridan, C Saldaña - International Journal of Fatigue, 2022 - Elsevier
Laser powder bed fusion (LPBF), a metal additive manufacturing technology, is well-suited
for design optimization but fatigue life is limited by manufacturing defects. In this work, 17-4 …

High cycle fatigue behavior and strengthening mechanisms of laser powder bed fusion pure tantalum

R Huang, H Xie, L Guo, X Cai, X Yang, K Wei - International Journal of …, 2025 - Elsevier
The fatigue behavior and strengthening mechanisms of the laser powder bed fusion pure
tantalum (LPBF-Ta), coupled with a fatigue life prediction model, were originally explored …