[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives

M Mozaffar, S Liao, X Xie, S Saha, C Park, J Cao… - Journal of Materials …, 2022 - Elsevier
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …

Phase-field study of the history-effect of remelted microstructures on nucleation during additive manufacturing of ni-based superalloys

M Uddagiri, O Shchyglo, I Steinbach… - … Materials Transactions A, 2023 - Springer
In the current work we employ multi-phase-field simulations to understand the effect of
remelting on microstructure evolution, especially on nucleation of new grains during …

The thermodynamics of non-equilibrium interfaces during phase transformations in concentrated multicomponent alloys

CA Hareland, G Guillemot, CA Gandin, PW Voorhees - Acta Materialia, 2022 - Elsevier
A unified thermodynamic description of moving non-equilibrium interfaces is developed for
both solid/solid and solid/liquid transformations. The theory is applicable to concentrated …

Physics-based thermal-chemical-fluid-microstructure modelling of in-situ alloying using additive manufacturing: Composition-microstructure control

J Shinjo, A Kutsukake, A Arote, YT Tang… - Additive …, 2023 - Elsevier
Nucleation and grain growth during metal additive manufacturing (AM) still remain
debatable since the nature of rapid melting and solidification induced by laser-powder …

Solidification of the Ni-based superalloy CMSX-4 simulated with full complexity in 3-dimensions

M Uddagiri, O Shchyglo, I Steinbach… - Progress in Additive …, 2024 - Springer
In this work, we present phase-field (PF) simulations directly coupled to thermodynamic and
kinetic databases in three dimensions. The direct coupling allows consideration of the full …

Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing

N Samadiani, AS Barnard, D Gunasegaram… - Journal of Intelligent …, 2024 - Springer
The process parameters used for building a part utilizing the powder-bed fusion (PBF)
additive manufacturing (AM) system have a direct influence on the quality—and therefore …

3D multi-track and multi-layer epitaxy grain growth simulations of selective laser melting

ARA Dezfoli, YL Lo, MM Raza - Materials, 2021 - mdpi.com
An integrated simulation framework consisting of the 3D finite element method and 3D
cellular automaton method is presented for simulating the multi-track and multi-layer …

A Phase-Field Model for In-Space Manufacturing of Binary Alloys

M Ghosh, M Hendy, J Raush, K Momeni - Materials, 2022 - mdpi.com
The integrity of the final printed components is mostly dictated by the adhesion between the
particles and phases that form upon solidification, which is a major problem in printing …

Predicting and correlating melt pool characteristics with processing parameters in IN625 powder bed fusion additive manufacturing

M Abdelmoula, W Musinski - Journal of Manufacturing Processes, 2024 - Elsevier
Predicting the melt pool's various characteristics and developing a reliable correlation
between these melt pool characteristics and powder bed fusion (PBF) process parameters is …