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 …

Metallurgy, mechanistic models and machine learning in metal printing

T DebRoy, T Mukherjee, HL Wei, JW Elmer… - Nature Reviews …, 2021 - nature.com
Additive manufacturing enables the printing of metallic parts, such as customized implants
for patients, durable single-crystal parts for use in harsh environments, and the printing of …

Additive manufacturing of ultra-high strength steels: A review

K Li, T Yang, N Gong, J Wu, X Wu, DZ Zhang… - Journal of Alloys and …, 2023 - Elsevier
Ultra-high strength steels (UHSSs) have excellently comprehensive mechanical properties,
which has attracted significant interest in their advanced manufacturing. Additively …

Metal powders in additive manufacturing: A review on reusability and recyclability of common titanium, nickel and aluminum alloys

P Moghimian, T Poirié, M Habibnejad-Korayem… - Additive …, 2021 - Elsevier
Metal additive manufacturing (AM) has received a lot of attention since its introduction,
owing to its cost efficiency and freedom in design. For a successful and repeatable AM …

A review of spatter in laser powder bed fusion additive manufacturing: In situ detection, generation, effects, and countermeasures

Z Li, H Li, J Yin, Y Li, Z Nie, X Li, D You, K Guan… - Micromachines, 2022 - mdpi.com
Spatter is an inherent, unpreventable, and undesired phenomenon in laser powder bed
fusion (L-PBF) additive manufacturing. Spatter behavior has an intrinsic correlation with the …

Pore defects in Laser Powder Bed Fusion: Formation mechanism, control method, and perspectives

C Du, Y Zhao, J Jiang, Q Wang, H Wang, N Li… - Journal of Alloys and …, 2023 - Elsevier
Laser powder bed fusion (LPBF) additive manufacturing (AM) technology has been applied
to manufacture complex components which have already been used in aerospace …

Types of spatter and their features and formation mechanisms in laser powder bed fusion additive manufacturing process

ZA Young, Q Guo, ND Parab, C Zhao, M Qu… - Additive …, 2020 - Elsevier
Spatter causes defect formation, powder redistribution and contamination in laser powder
bed fusion (LPBF) additive manufacturing process. It is critical to distinguish different types of …

Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring

Z Snow, L Scime, A Ziabari, B Fisher, V Paquit - Additive Manufacturing, 2023 - Elsevier
Material produced via additive manufacturing (AM) continues to exhibit variable mechanical
properties despite apparent optimization of processing parameters, inhibiting qualification …

A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys

W Muhammad, AP Brahme, O Ibragimova… - International Journal of …, 2021 - Elsevier
Abstract Machine learning (ML) approaches are widely used to develop systems or
frameworks with the ability to predict the properties of interest by learning and establishing …

Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Z Smoqi, A Gaikwad, B Bevans, MH Kobir… - Journal of Materials …, 2022 - Elsevier
In this work we accomplished the monitoring and prediction of porosity in laser powder bed
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …