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 …

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 …

This study proposes an implementation of the cellular automata finite element (CAFE) model
in order to optimize its performance for simulating the solidification of additively …

This paper presents a novel framework that enables the generation of unbiased estimates
for test loss using fewer labeled samples, effectively evaluating the predictive performance …

Additive manufacturing (AM), or 3D printing, of metals is transforming the fabrication of
components, in part by dramatically expanding the design space, allowing optimization of …

Modeling the as-solidified grain structures that form during alloy processing is a critical
component in understanding process-property relationships, particularly for additive …

Melt pool scale numerical modeling of additive manufacturing (AM) processes can provide
predictive capabilities and theoretical insight into the process-property-structure …

In metal additive manufacturing (AM), with sufficient understanding of process-structure–
property (PSP) relational linkages, the control of build parameters can produce parts with …

Despite increasing applications of additively manufactured parts, they still suffer from
anisotropic mechanical properties and can experience cracking due to coarse columnar …

Bayesian inference with sequential Monte Carlo is used to quantify the orientation
distribution function coefficients and to calculate the fully anisotropic elastic constants of …