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 …

[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 …

Temperature-dependent modified inherent strain method for predicting residual stress and distortion of Ti6Al4V walls manufactured by wire-arc directed energy …

W Dong, XA Jimenez, AC To - Additive Manufacturing, 2023 - Elsevier
As an additive manufacturing (AM) process, wire-arc directed energy deposition (DED) has
drawn increasing attention due to its ability to print large metal parts. However, the heat …

Solidification microstructure simulation of Ti-6Al-4V in metal additive manufacturing: A review

J Li, X Zhou, M Brochu, N Provatas, YF Zhao - Additive Manufacturing, 2020 - Elsevier
Metal additive manufacturing (MAM) technology is now changing the pattern of the high-end
manufacturing industry, among which microstructure simulation gradually shows its …

Integration of phase-field model and crystal plasticity for the prediction of process-structure-property relation of additively manufactured metallic materials

PW Liu, Z Wang, YH Xiao, RA Lebensohn… - International Journal of …, 2020 - Elsevier
A computational framework is developed to investigate the process-structure-property
relationship for additive manufacturing (AM) of Ti–6Al–4V alloy. The proposed model …

Residual stresses in thin walled-structures manufactured by directed energy deposition: In-situ measurements, fast thermo-mechanical simulation and buckling

D Weisz-Patrault, P Margerit, A Constantinescu - Additive Manufacturing, 2022 - Elsevier
Manufacturing strains and subsequent residual stresses are key elements in the behavior of
thin-walled structures, as they induce buckling, warping, and failure. This work proposes a …

Simulation-guided variable laser power design for melt pool depth control in directed energy deposition

S Liao, S Webster, D Huang, R Council, K Ehmann… - Additive …, 2022 - Elsevier
Melt pool control is essential in metal additive manufacturing processes since the melt pool
geometry directly affects the geometric accuracy and material properties of the fabricated …

[HTML][HTML] Substrate design to minimize residual stresses in Directed Energy Deposition AM processes

X Lu, M Chiumenti, M Cervera, J Li, X Lin, L Ma… - Materials & Design, 2021 - Elsevier
This paper proposes a strategy to optimize the design of the substrate structures used in
Additive Manufacturing (AM) by Directed Energy Deposition (DED) to minimize the residual …

Simulation-informed laser metal powder deposition of Ti-6Al-4V with ultrafine α-β lamellar structures for desired tensile properties

T Song, T Dong, SL Lu, K Kondoh, R Das, M Brandt… - Additive …, 2021 - Elsevier
Understanding the thermal history of a metal part during additive manufacturing (AM) is
essential for process design and microstructural control. In this study, detailed thermal …

A data-driven approach for process optimization of metallic additive manufacturing under uncertainty

Z Wang, P Liu, Y Xiao, X Cui… - Journal of …, 2019 - asmedigitalcollection.asme.org
The presence of various uncertainty sources in metal-based additive manufacturing (AM)
process prevents producing AM products with consistently high quality. Using electron beam …