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 …

[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 …

Microstructural control in metal laser powder bed fusion additive manufacturing using laser beam shaping strategy

R Shi, SA Khairallah, TT Roehling, TW Heo… - Acta Materialia, 2020 - Elsevier
Additive manufacturing (AM) promises to revolutionize manufacturing by producing complex
parts with tailored mechanical properties through local microstructure control. The main …

[HTML][HTML] Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing

DR Gunasegaram, AB Murphy, A Barnard… - Additive …, 2021 - Elsevier
Artificial intelligence (AI) embedded within digital models of manufacturing processes can be
used to improve process productivity and product quality significantly. The application of …

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 …

Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches

N Kouraytem, X Li, W Tan, B Kappes… - Journal of Physics …, 2021 - iopscience.iop.org
Metal additive manufacturing (AM) presents advantages such as increased complexity for a
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …

Pitting corrosion in 316L stainless steel fabricated by laser powder bed fusion additive manufacturing: a review and perspective

T Voisin, R Shi, Y Zhu, Z Qi, M Wu, S Sen-Britain… - Jom, 2022 - Springer
Abstract 316L stainless steel (316L SS) is a flagship material for structural applications in
corrosive environments, having been extensively studied for decades for its favorable …

Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data

R Yavari, A Riensche, E Tekerek, L Jacquemetton… - Materials & Design, 2021 - Elsevier
The goal of this research is the in-situ detection of flaw formation in metal parts made using
the laser powder bed fusion (LPBF) additive manufacturing process. This is an important …

Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review

S Sharma, SS Joshi, MV Pantawane… - International …, 2023 - journals.sagepub.com
This review article provides a critical assessment of the progress made in computational
modelling of metal-based additive manufacturing (AM) with emphasis on its ability to predict …