Search Results - "Plotkowski, Alex"

Phase Selection During Solidification and Solid-State Phase Transformations in an Al-10Ce-8Mn (wt pct) Alloy.

Authors: Sisco, Kevin Plotkowski, Alex Feldhausen, Thomas et al.

Source: Metallurgical & Materials Transactions. Part A; Dec2024, Vol. 55 Issue 12, p5137-5158, 22p

Correction: Phase Selection During Solidification and Solid-State Phase Transformations in an Al-10Ce-8Mn (wt pct) Alloy.

Authors: Sisco, Kevin Plotkowski, Alex Feldhausen, Thomas et al.

Source: Metallurgical & Materials Transactions. Part A; Dec2024, Vol. 55 Issue 12, p5159-5159, 1p

Establishing model credibility for process-microstructure-property relationships in additive manufacturing using exascale computing.

Authors: Rolchigo, Matt Coleman, John Carson, Robert et al.

Source: International Journal of High Performance Computing Applications; Jul2026, Vol. 40 Issue 4, p437-465, 29p

Metal additive manufacturing simulation across length, time, and computing scales.

Authors: Plotkowski, Alex Rolchigo, Matt Wagner, Gregory et al.

Source: International Materials Reviews; May2026, Vol. 71 Issue 3, p254-293, 40p

Temperature-Dependent Thermal and Mechanical Properties of a Wire Arc Additively Manufactured Low Transformation Temperature Steel.

Authors: Tang, Wei Fancher, Chris M. Nandwana, Peeyush et al.

Source: Metallurgical & Materials Transactions. Part A; Mar2023, Vol. 54 Issue 3, p854-868, 15p

Optimization of Processing, Microstructure, and Hardness of an Al–Ce–Ni–Mn–Zr Alloy With Laser Additive Manufacturing.

Authors: Fieser, David Lawton, Michael Bahl, Sumit et al.

Source: Advanced Engineering Materials; 4/22/2026, Vol. 28 Issue 8, p1-14, 14p

Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction.

Authors: Ziabari, Amirkoushyar Venkatakrishnan, S. V. Snow, Zackary et al.

Source: NPJ Computational Materials; 5/30/2023, Vol. 9 Issue 1, p1-10, 10p

Towards high-temperature applications of aluminium alloys enabled by additive manufacturing.

Authors: Michi, Richard A. Plotkowski, Alex Shyam, Amit et al.

Source: International Materials Reviews; Apr2022, Vol. 67 Issue 3, p298-345, 48p

ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure.

Authors: Turner, John A Belak, James Barton, Nathan et al.

Source: International Journal of High Performance Computing Applications; Jan2022, Vol. 36 Issue 1, p13-39, 27p

Myna: Connecting powder bed fusion build data to simulation tools for digital twin applications.

Authors: Knapp, Gerald L. Reeve, Samuel Temple Coleman, John et al.

Source: Computational Materials Science; Aug2025, Vol. 258, pN.PAG-N.PAG, 1p

Geometry-Dependent Solidification Regimes in Metal Additive Manufacturing.

Authors: PLOTKOWSKI, ALEX, plotkowskiaj@ornl.gov

Source: Welding Journal; Feb2020, Vol. 99 Issue 2, p59-s-66-s, 8p, 1 Diagram, 3 Charts, 4 Graphs

Validating the Use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields.

Authors: Fancher, Chris M. Venkatakrishnan, Singanallur Feldhausen, Thomas et al.

Source: Materials (1996-1944). May2023, Vol. 16 Issue 10, p3854. 12p.

ExaCA v2.0: A versatile, scalable, and performance portable cellular automata application for additive manufacturing solidification.

Authors: Rolchigo, Matt Reeve, Samuel Temple Stump, Benjamin et al.

Source: Computational Materials Science; Mar2025, Vol. 251, pN.PAG-N.PAG, 1p

On the numerical sensitivity of cellular automata grain structure predictions to large thermal gradients and cooling rates.

Authors: Rolchigo, Matt Stump, Benjamin Coleman, John et al.

Source: Computational Materials Science; Feb2025, Vol. 249, pN.PAG-N.PAG, 1p

Macrosegregation modeling during direct-chill casting of aluminum alloy 7050.

Authors: Fezi, Kyle Plotkowski, Alex Krane, Matthew John M.

Source: Numerical Heat Transfer: Part A -- Applications. 2016, Vol. 70 Issue 9, p939-963. 25p.

Fluid Dynamics Effects on Microstructure Prediction in Single-Laser Tracks for Additive Manufacturing of IN625.

Authors: Sabau, Adrian S. Yuan, Lang Raghavan, Narendran et al.

Source: Metallurgical & Materials Transactions. Part B; Jun2020, Vol. 51 Issue 3, p1263-1281, 19p

The Use of Inverse Heat Conduction Models for Estimation of Transient Surface Heat Flux in Electroslag Remelting.

Authors: Plotkowski, Alex Krane, Matthew John M.

Source: Journal of Heat Transfer. Mar2015, Vol. 137 Issue 3, p1-9. 9p.

Subjects: Heat flux measurement, Heat conduction, Electroslag process, Real-time control, Transient analysis, Model validation, Mathematical models

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

Authors: Stump, Benjamin C. Plotkowski, Alex Nutaro, James

Source: Computational Materials Science; Mar2024, Vol. 237, pN.PAG-N.PAG, 1p

Understanding solidification of near eutectic alloy using Cellular Automata (CA).

Authors: Roy, Indranil Rolchigo, Matt Coleman, John et al.

Source: Computational Materials Science; Mar2024, Vol. 236, pN.PAG-N.PAG, 1p

ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling.

Authors: Rolchigo, Matt Reeve, Samuel Temple Stump, Benjamin et al.

Source: Computational Materials Science; Nov2022, Vol. 214, pN.PAG-N.PAG, 1p