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 …

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) …

With the rapid development of Additive Manufacturing (AM) technology in the past 30 years,
AM has been shifting from prototy** to advanced manufacturing of functional components …

Polymer metallization via cold spray additive manufacturing is an emerging thermal spray
approach for deposition of thick metallic coatings on polymers and fiber-reinforced …

Metal additive manufacturing has seen extensive research and rapidly growing applications
for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still …

In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

Metal additive manufacturing is gaining immense research attention. Some of these
research efforts are associated with physics, statistical, or artificial intelligence-driven …

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 …

A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …

It is shown that Machine Learning (ML) algorithms can usefully capture the effect of
crystallization composition and conditions (inputs) on key microstructural characteristics …