Multi-scale defects in powder-based additively manufactured metals and alloys

J Fu, H Li, X Song, MW Fu - Journal of Materials Science & Technology, 2022 - Elsevier
Defect formation is a critical challenge for powder-based metal additive manufacturing (AM).
Current understanding on the three important issues including formation mechanism …

[HTML][HTML] Process parameter selection and optimization of laser powder bed fusion for 316L stainless steel: A review

N Ahmed, I Barsoum, G Haidemenopoulos… - Journal of Manufacturing …, 2022 - Elsevier
Stainless steel 316L has been an extensively investigated metallic material for laser powder
bed fusion (L-PBF) in the past few decades due to its high corrosion resistance. However …

[HTML][HTML] On the current research progress of metallic materials fabricated by laser powder bed fusion process: a review

W Abd-Elaziem, S Elkatatny, AE Abd-Elaziem… - Journal of Materials …, 2022 - Elsevier
Laser powder bed fusion (LPBF) is the most common metal additive manufacturing
technique. Following pre-programmed designs, it employs a high-power density laser …

[HTML][HTML] Review on residual stresses in metal additive manufacturing: formation mechanisms, parameter dependencies, prediction and control approaches

S Chen, H Gao, Q Wu, Z Gao, X Zhou - Journal of materials research and …, 2022 - Elsevier
Metal additive manufacturing (MAM) technology has great application potential in the
aerospace, medical and energy fields with its high material utilization efficiency to achieve …

Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening

M Yang, L Wang, W Yan - Npj Computational Materials, 2021 - nature.com
A three-dimensional phase-field model is developed to simulate grain evolutions during
powder-bed-fusion (PBF) additive manufacturing, while the physically-informed temperature …

[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Simulation of melt pool behaviour during additive manufacturing: Underlying physics and progress

PS Cook, AB Murphy - Additive Manufacturing, 2020 - Elsevier
Reliable computational models of metal additive manufacturing will assist in optimising part
quality, and are likely to play a role in component qualification. A key component of these …

Microstructure modelling for metallic additive manufacturing: a review

JHK Tan, SL Sing, WY Yeong - Virtual and Physical Prototyping, 2020 - Taylor & Francis
The microstructure of metals depends on the additive manufacturing (AM) process and the
process parameters. However, experimentation on different process parameters for different …

A digital twin hierarchy for metal additive manufacturing

A Phua, CHJ Davies, GW Delaney - Computers in Industry, 2022 - Elsevier
Digital twins present a conceptual framework for product life-cycle monitoring and control
using a simulated replica of the physical system. Since their emergence, they have garnered …

Modeling and simulation of microstructure evolution for additive manufacturing of metals: a critical review

C Körner, M Markl, JA Koepf - Metallurgical and Materials Transactions A, 2020 - Springer
Beam-based additive manufacturing (AM) of metallic components is characterized by
extreme process conditions. The component forms in a line-by-line and layer-by-layer …