Review on field assisted metal additive manufacturing

C Tan, R Li, J Su, D Du, Y Du, B Attard, Y Chew… - International Journal of …, 2023 - Elsevier
Additive manufacturing (AM) offers unprecedented design freedom and manufacturing
flexibility for processing complex components. Despite the numerous advantages of AM over …

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 review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies

M Bayat, W Dong, J Thorborg, AC To, JH Hattel - Additive Manufacturing, 2021 - Elsevier
Numerical simulations have recently shown their potential as a robust, cheap and reliable
tool for predicting the quality of components produced by metal additive manufacturing …

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 …

Control of grain structure, phases, and defects in additive manufacturing of high-performance metallic components

T Mukherjee, JW Elmer, HL Wei, TJ Lienert… - Progress in Materials …, 2023 - Elsevier
The properties and serviceability of 3D-printed metal parts depend on a variety of attributes.
These include the chemical composition, phases, morphology, spatial distributions of grain …

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Q Zhu, Z Liu, J Yan - Computational Mechanics, 2021 - Springer
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

[HTML][HTML] Mechanistic models for additive manufacturing of metallic components

HL Wei, T Mukherjee, W Zhang, JS Zuback… - Progress in Materials …, 2021 - Elsevier
Additive manufacturing (AM), also known as 3D printing, is gaining wide acceptance in
diverse industries for the manufacturing of metallic components. The microstructure and …

[HTML][HTML] Metal vaporization and its influence during laser powder bed fusion process

J Liu, P Wen - Materials & Design, 2022 - Elsevier
Laser powder bed fusion (LPBF) is a key metal additive manufacturing process and has
attracted increasing attention both in academia and industry. An essential physical issue …

Critical role of scan strategies on the development of microstructure, texture, and residual stresses during laser powder bed fusion additive manufacturing

N Nadammal, T Mishurova, T Fritsch… - Additive …, 2021 - Elsevier
Laser based powder bed fusion additive manufacturing offers the flexibility to incorporate
standard and user-defined scan strategies in a layer or in between the layers for the …

[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 …