Today, the manufacturing industry is aiming to improve competitiveness through the
convergence with cutting-edge ICT technologies in order to secure a new growth engine …

This paper presents a comprehensive review on the sources of model inaccuracy and
parameter uncertainty in metal laser powder bed fusion (L-PBF) process. Metal additive …

Additive manufacturing (AM) technologies have become integral to modern prototy** and
manufacturing. Therefore, guidelines for using AM are necessary to help users new to the …

Measurements of the temperature and distortion evolution during laser powder bed fusion
(LPBF) are taken as a function of time. In situ measurements have proven vital to the …

Additive Manufacturing (AM) with its unique capabilities provides a new way of rapid product
development. The emerging Cloud Manufacturing paradigm makes it much easier to access …

This paper presents a statistical physics-based machine learning model for predicting
defects, such as surface roughness and lack-of-fusion porosity, in the laser powder bed …

The flourishing development of additive manufacturing (AM) technologies calls for robust IT
methodologies and solutions to manage the plethora of data that is generated in the AM …

Consistent melt pool geometry is an indicator of a stable laser powder bed fusion (L-PBF)
additive manufacturing process. Melt pool size and shape reflect the impact of process …

A novel data science workflow is developed and demonstrated to extract process-structure
linkages (ie, reduced-order model) for microstructure evolution problems when the final …

Quality is a key determinant in deploying new processes, products, or services and
influences the adoption of emerging manufacturing technologies. The advent of additive …