Understanding the grain structure in metal additive manufacturing (MAM) builds is important
to improve the properties of MAM builds and the controllability of MAM processes. The …

Prediction of microstructures of additive manufactured materials is a significant research
focus to face the challenge of producing tailored components. In this work, a three …

Variability in the mechanical properties of additively manufactured metal parts is a key
concern for their application in service. One of the parameters affecting the above …

In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE)
method has been developed to simulate thermal history and microstructure evolution during …

A multiscale model is developed to investigate the evolution mechanisms of site-specific
grain structures during additive manufacturing (AM) of metallic alloys, using the selective …

This paper aims at an in-depth analysis of grain structure and texture of 316 L austenitic
stainless steel produced by the powder bed based additive manufacturing in three …

Additive manufacturing (AM) processes produce unique microstructures compared with
other manufacturing processes because of the large thermal gradient, high solidification rate …

In this work, a new approach is developed to integrate a particle-based (seed crystals)
nucleation mechanism into the Cellular Automata (CA) simulation of powder-bed laser beam …

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 …

In this paper, a parallelized 3D cellular automaton computational model is developed to
predict grain morphology for solidification of metal during the additive manufacturing …