Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

Lack of assurance of quality with additively manufactured (AM) parts is a key technological
barrier that prevents manufacturers from adopting AM technologies, especially for high …

In laser powder bed fusion, melt pool dynamics and stability are driven by the temperature
field in the melt pool. If the temperature field is unfavourable defects are likely to form. The …

The defective regimes in metal-based Laser Powder Bed Fusion (LPBF) processes can be
minimized by deploying in-situ monitoring strategies comprising Machine learning (ML) …

There is consensus among both the research and industrial communities, and even the
general public, that additive manufacturing (AM) processes capable of processing metallic …

In-situ process monitoring of additively manufactured parts has become a topic of increasing
interest to the manufacturing community. In this work, acoustic measurements recorded …

Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …

Laser powder bed fusion (L-PBF) as an metal additive manufacturing process that can
produce fully dense 3D structures with complex geometry using difficult-to-process metal …

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

Harnessing the full potential of the metal-based Laser Powder Bed Fusion process (LPBF)
relies heavily on how effectively the overall reliability and stability of the manufactured part …