Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
wide range of applications. Despite considerable advancements in additive manufacturing …
wide range of applications. Despite considerable advancements in additive manufacturing …
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
Abstract Machine learning (ML) has shown to be an effective alternative to physical models
for quality prediction and process optimization of metal additive manufacturing (AM) …
for quality prediction and process optimization of metal additive manufacturing (AM) …
Invited review: Machine learning for materials developments in metals additive manufacturing
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 …
a single process as layers of metal are fabricated on top of each other in the near-final …
Modeling process-structure-property relationships for additive manufacturing
This paper presents our latest work on comprehensive modeling of process-structure-
property relationships for additive manufacturing (AM) materials, including using data …
property relationships for additive manufacturing (AM) materials, including using data …
[HTML][HTML] Research and application of machine learning for additive manufacturing
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 …
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
[HTML][HTML] Mechanistic models for additive manufacturing of metallic components
Additive manufacturing (AM), also known as 3D printing, is gaining wide acceptance in
diverse industries for the manufacturing of metallic components. The microstructure and …
diverse industries for the manufacturing of metallic components. The microstructure and …
Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing
Additive manufacturing (AM) possesses appealing potential for manipulating material
compositions, structures and properties in end-use products with arbitrary shapes without …
compositions, structures and properties in end-use products with arbitrary shapes without …
[HTML][HTML] Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing
Additive manufacturing (AM) is an emerging manufacturing technology that constructs
complex parts through layer-by-layer deposition. The prediction and control of thermal fields …
complex parts through layer-by-layer deposition. The prediction and control of thermal fields …
Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …
Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches
Metal additive manufacturing (AM) presents advantages such as increased complexity for a
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …