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 …

[HTML][HTML] Universal scaling laws of keyhole stability and porosity in 3D printing of metals

Z Gan, OL Kafka, N Parab, C Zhao, L Fang… - Nature …, 2021 - nature.com
Abstract Metal three-dimensional (3D) printing includes a vast number of operation and
material parameters with complex dependencies, which significantly complicates process …

[HTML][HTML] 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 …

Effect of processing parameters on the densification of an additively manufactured 2024 Al alloy

Q Tan, Y Liu, Z Fan, J Zhang, Y Yin… - Journal of Materials …, 2020 - Elsevier
Understanding the densification behaviours and formation mechanisms of defects are
essential to fabricate high quality and high strength aluminium components using selective …

[PDF][PDF] Processparameter optimizationof metal additiveman-ufacturing: a review and outlook

HY Chia, J Wu, X Wang, W YanD - 2022 - pdfs.semanticscholar.org
The selection of appropriate process parameters is crucial in metal additive manufacturing
(AM) as it directly influences the defect formation and microstructure of the printed part. Over …

Linking process parameters with lack-of-fusion porosity for laser powder bed fusion metal additive manufacturing

S Mojumder, Z Gan, Y Li, A Al Amin, WK Liu - Additive Manufacturing, 2023 - Elsevier
Structural defects such as porosity have detrimental effects on additively manufactured parts
which can be reduced by choosing optimal process conditions. In this work, the relationship …

Semi-coupled resolved CFD–DEM simulation of powder-based selective laser melting for additive manufacturing

T Yu, J Zhao - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
We present a semi-coupled resolved Computational Fluid Dynamics (CFD) and Discrete
Element Method (DEM) to simulate a class of granular media problems that involve thermal …

Thermal behavior and control during multi-track laser powder bed fusion of 316 L stainless steel

D Yao, J Wang, H Luo, Y Wu, X An - Additive Manufacturing, 2023 - Elsevier
Understanding and controlling the thermal behavior during laser powder bed fusion (LPBF)
additive manufacturing (AM) is crucial to improve the quality of the printed layer and the …

Physics-assisted transfer learning metamodels to predict bead geometry and carbon emission in laser butt welding

J Wu, C Zhang, A Giam, HY Chia, H Cao, W Ge, W Yan - Applied Energy, 2024 - Elsevier
Laser butt welding (LBW) with high quality is widely sought-after, but results in non-
negligible carbon emission (CE). However, predicting bead geometry and CE of LBW is …

A dimensionless number for predicting universal processing parameter boundaries in metal powder bed additive manufacturing

B Rankouhi, AK Agrawal, FE Pfefferkorn, DJ Thoma - Manufacturing Letters, 2021 - Elsevier
One of the main challenges facing selective laser melting processes is finding suitable
process parameters to achieve maximum density (pore-free) parts. In this letter, two newly …