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 …

Laser melting modes in metal powder bed fusion additive manufacturing

C Zhao, B Shi, S Chen, D Du, T Sun, BJ Simonds… - Reviews of Modern …, 2022 - APS
In the laser powder bed fusion additive manufacturing of metals, extreme thermal conditions
create many highly dynamic physical phenomena, such as vaporization and recoil …

Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing

Y Huang, TG Fleming, SJ Clark, S Marussi… - Nature …, 2022 - nature.com
Keyhole porosity is a key concern in laser powder-bed fusion (LPBF), potentially impacting
component fatigue life. However, some keyhole porosity formation mechanisms, eg, keyhole …

Machine learning–aided real-time detection of keyhole pore generation in laser powder bed fusion

Z Ren, L Gao, SJ Clark, K Fezzaa, P Shevchenko… - Science, 2023 - science.org
Porosity defects are currently a major factor that hinders the widespread adoption of laser-
based metal additive manufacturing technologies. One common porosity occurs when an …

Data-driven discovery of dimensionless numbers and governing laws from scarce measurements

X Xie, A Samaei, J Guo, WK Liu, Z Gan - Nature communications, 2022 - nature.com
Dimensionless numbers and scaling laws provide elegant insights into the characteristic
properties of physical systems. Classical dimensional analysis and similitude theory fail to …

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 …

MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning

P Akbari, F Ogoke, NY Kao, K Meidani, CY Yeh… - Additive …, 2022 - Elsevier
Characterizing melt pool shape and geometry is essential in Metal Additive Manufacturing
(MAM) to control the printing process, and avoid defects. Predicting melt pool flaws based on …

In-situ experimental and high-fidelity modelling tools to advance understanding of metal additive manufacturing

L Wang, Q Guo, L Chen, W Yan - International Journal of Machine Tools …, 2023 - Elsevier
Metal additive manufacturing has seen extensive research and rapidly growing applications
for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still …

Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives

M Mozaffar, S Liao, X Xie, S Saha, C Park, J Cao… - Journal of Materials …, 2022 - Elsevier
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …

Additive manufacturing of tungsten, tungsten-based alloys, and tungsten matrix composites

SH Pan, GC Yao, YN Cui, FS Meng, C Luo, TQ Zheng… - Tungsten, 2023 - Springer
Tungsten (W) materials are gaining more and more attention due to the extended
applications of metallic systems in the extreme environments. Given W's unique …