[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …

State-of-art review on the process-structure-properties-performance linkage in wire arc additive manufacturing

H Zhang, R Li, J Liu, K Wang, Q Weijian… - Virtual and Physical …, 2024 - Taylor & Francis
ABSTRACT Wire Arc Additive Manufacturing (WAAM) can well offer improved design
flexibility and manufacturing versatility for the integrated molding of large components …

[HTML][HTML] Physics-informed online learning for temperature prediction in metal AM

P Sajadi, M Rahmani Dehaghani, Y Tang, GG Wang - Materials, 2024 - mdpi.com
In metal additive manufacturing (AM), precise temperature field prediction is crucial for
process monitoring, automation, control, and optimization. Traditional methods, primarily …

Wire arc additive manufacturing of Al-Cu alloy-grain refinement, strengthening and thermal simulation

AK Sinha, KP Yagati - Silicon, 2024 - Springer
The present study aims to refine the solidification structure of 2319 Al-alloy Wire Arc Additive
Manufacturing (WAAM) deposits by adding SiC powder to the interlayer during deposition …

[HTML][HTML] Too hot to print, too slow to handle; finding optimal path characteristics for WAAM

I Sideris, J Petrik, M Bambach - Manufacturing Letters, 2024 - Elsevier
Abstract Wire+ Arc Additive Manufacturing (WAAM) is recognized as a highly capable metal
additive process. However, the quality of manufactured parts is often compromised by …

A novel deep learning model for the real-time prediction of emissivity and thermal history in metal additive manufacturing processes

C Liu, T Yuan, H Shan, Y Wang, H Lai… - Journal of Manufacturing …, 2025 - Elsevier
Thermal history during the additive manufacturing (AM) process significantly influences the
performance of the produced structures. In numerous studies, researchers have focused on …

Determining optimal bead central angle by applying machine learning to wire arc additive manufacturing (WAAM)

DO Kim, CM Lee, DH Kim - Heliyon, 2024 - cell.com
Wire arc additive manufacturing (WAAM) is being extensively used in various industrial
fields. In WAAM, if a bead is deposited without considering the central angle, its shape may …

Effect of cooling strategies on Inconel 625 components produced by wire arc additive manufacturing

GH Carvalho, AT Silvestri, G Campatelli… - The International Journal …, 2024 - Springer
In this work, three cooling strategies were proposed to increase the cooling rate and avoid
extensive exposure to higher temperatures during the manufacturing of components in …

Numerical simulation for microstructure control in wire arc additive manufacturing of thin-walled structures

L Zhang, H Zhou, J Chen, H Wang, W Liu, Z Zhang… - Thin-Walled …, 2024 - Elsevier
The difference of cooling rates on the surface and the interior of thin-walled structures leads
to significant differences of microstructures in additive manufacturing (AM). To reveal the …

[HTML][HTML] Precision Calibration in Wire-Arc-Directed Energy Deposition Simulations Using a Machine-Learning-Based Multi-Fidelity Model

F Hasan, A Hamrani, MM Rayhan, T Dolmetsch… - … of Manufacturing and …, 2024 - mdpi.com
Thermal simulation is essential in wire-arc-directed energy deposition (W-DED) to
accurately estimate temperature distributions, impacting residual stress and distortion in …