Physics-informed machine learning and mechanistic modeling of additive manufacturing to reduce defects

Y Du, T Mukherjee, T DebRoy - Applied Materials Today, 2021 - Elsevier
In the past few decades, additive manufacturing has evolved for the one-step fabrication of
various complex, customized metallic components that cannot be easily and economically …

Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing

W Yan, S Lin, OL Kafka, Y Lian, C Yu, Z Liu… - Computational …, 2018 - Springer
Additive manufacturing (AM) possesses appealing potential for manipulating material
compositions, structures and properties in end-use products with arbitrary shapes without …

[HTML][HTML] Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights

A Du Plessis, I Yadroitsava, I Yadroitsev - Materials & Design, 2020 - Elsevier
X-ray tomography has emerged as a uniquely powerful and non-destructive tool to analyze
defects in additive manufacturing. Defects include unintended porosity, rough surfaces and …

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 …

Printability of alloys for additive manufacturing

T Mukherjee, JS Zuback, A De, T DebRoy - Scientific reports, 2016 - nature.com
Although additive manufacturing (AM), or three dimensional (3D) printing, provides
significant advantages over existing manufacturing techniques, metallic parts produced by …

Invited review: Machine learning for materials developments in metals additive manufacturing

NS Johnson, PS Vulimiri, AC To, X Zhang, CA Brice… - Additive …, 2020 - Elsevier
In metals additive manufacturing (AM), materials and components are concurrently made in
a single process as layers of metal are fabricated on top of each other in the near-final …

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 …

[图书][B] Literature review of metal additive manufacturing defects

FH Kim, FH Kim, SP Moylan - 2018 - nvlpubs.nist.gov
Additive manufacturing (AM) is a revolutionary manufacturing technique, which is expected
to reshape the future of manufacturing industries. While various materials are used in AM …

[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

Modeling of additive manufacturing processes for metals: Challenges and opportunities

MM Francois, A Sun, WE King, NJ Henson… - Current Opinion in Solid …, 2017 - Elsevier
With the technology being developed to manufacture metallic parts using increasingly
advanced additive manufacturing processes, a new era has opened up for designing novel …