[HTML][HTML] Recent progress in the simulation of microstructure evolution in titanium alloys

J Zhang, X Li, D Xu, R Yang - Progress in Natural Science: Materials …, 2019 - Elsevier
Titanium alloys (Ti-alloys) have complicated multiscale hierarchical structures that enabled a
variety of excellent mechanical properties, such as strength, ductility, fatigue and creep …

The development of grain structure during additive manufacturing

AF Chadwick, PW Voorhees - Acta Materialia, 2021 - Elsevier
Additive manufacturing of structural alloys results in the formation of complex
microstructures, often with long, columnar grains that grow epitaxially from existing grains. A …

Simulation of powder bed metal additive manufacturing microstructures with coupled finite difference-Monte Carlo method

TM Rodgers, D Moser, F Abdeljawad… - Additive …, 2021 - Elsevier
Grain-scale microstructure evolution during additive manufacturing is a complex physical
process. As with traditional solidification methods of material processing (eg casting and …

Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing

JA Mitchell, F Abdeljawad, C Battaile… - … and Simulation in …, 2023 - iopscience.iop.org
SPPARKS is an open-source parallel simulation code for developing and running various
kinds of on-lattice Monte Carlo models at the atomic or meso scales. It can be used to study …

Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys

D Adak, P Sreeramagiri, S Roy, G Balasubramanian - Materials, 2023 - mdpi.com
We present a scrutiny on the state of the art and applicability of predictive methods for
additive manufacturing (AM) of metals, alloys, and compositionally complex metallic …

[HTML][HTML] Effects of zirconia doping on additively manufactured alumina ceramics by laser direct deposition

JM Pappas, AR Thakur, X Dong - Materials & Design, 2020 - Elsevier
The ability to additively manufacture functional alumina ceramics has the potential to lower
manufacturing costs and development time for complex components. In this study, the …

An active learning high-throughput microstructure calibration framework for solving inverse structure–process problems in materials informatics

A Tran, JA Mitchell, LP Swiler, T Wildey - Acta Materialia, 2020 - Elsevier
Determining a process–structure–property relationship is the holy grail of materials science,
where both computational prediction in the forward direction and materials design in the …

Three-dimensional additively manufactured microstructures and their mechanical properties

TM Rodgers, H Lim, JA Brown - JOM, 2020 - Springer
Metal additive manufacturing (AM) allows for the freeform creation of complex parts.
However, AM microstructures are highly sensitive to the process parameters used. Resulting …

Modeling analysis of grain morphologies in Directed energy deposition (DED) coating with different laser scanning patterns

W Li, M Soshi - Materials Letters, 2019 - Elsevier
Directed energy deposition (DED) is often utilized to coat metallic part with complex
geometries in a variety of anti-corrosion materials or high-temperature materials. Computer …

The evolution of polycrystalline solidification in the entire weld: A phase-field investigation

F Yu, Y Wei, X Liu - International Journal of Heat and Mass Transfer, 2019 - Elsevier
The solidification patterns are dominated by the surface tension of solid/liquid interface and
the transfer process of heat and mass. The continuously changing solidification parameters …