Grain structure and texture selection regimes in metal powder bed fusion

M Rolchigo, J Coleman, GL Knapp, A Plotkowski - Additive Manufacturing, 2024 - Elsevier
Additive manufacturing (AM) offers opportunities to produce complex part geometries not
possible with conventional processing and in some cases even improve part performance …

DECA: Discrete Event inspired Cellular Automata for grain structure prediction in additive manufacturing

BC Stump, A Plotkowski, J Nutaro - Computational Materials Science, 2024 - Elsevier
Microstructure largely dictates macroscopic material properties and is strongly affected by
processing. Therefore, the simulation of microstructure evolution in response to thermal …

Monitoring, Modeling, and Statistical Analysis in Metal Additive Manufacturing: A Review

GA Johnson, MM Dolde, JT Zaugg, MJ Quintana… - Materials, 2024 - mdpi.com
Despite the significant advances made involving the additive manufacturing (AM) of metals,
including those related to both materials and processes, challenges remain in regard to the …

Toucan: A performance portable, scalable implementation of the DECA algorithm

BC Stump, D Arndt, M Rolchigo, ST Reeve - Computational Materials …, 2025 - Elsevier
In the field of additive manufacturing (AM), cellular automata (CA) is extensively used to
simulate microstructural evolution during solidification. However, while traditional CA …