Processing of alnico magnets by additive manufacturing

E White, E Rinko, T Prost, T Horn, C Ledford, C Rock… - Applied Sciences, 2019 - mdpi.com
Featured Application For potential application in electric drive motors and advanced high
temperature magnet technologies. Abstract Permanent magnets without rare earth (RE) …

Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

R Cohn, EA Holm - Scientific Reports, 2024 - nature.com
Recent developments in graph neural networks show promise for predicting the occurrence
of abnormal grain growth, which has been a particularly challenging area of research due to …

Neural message passing for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

R Cohn, E Holm - arXiv preprint arXiv:2110.09326, 2021 - arxiv.org
Abnormal grain growth can significantly alter the properties of materials during processing.
This can cause significant variation in the properties and performance of in-spec feedstock …

[图书][B] Computer vision and deep learning for microstructural modeling and automated characterization of materials

RC Cohn - 2022 - search.proquest.com
Deep learning has demonstrated impressive results for a variety of applications in image
analysis, but the use of this powerful technique in materials science has not fully been …

Improvements to the Powder Processing of near-Final Shape alnico Magnets

E Rinko, E Deaton, I Anderson - 2021 - osti.gov
Alnico permanent magnets (PMs), a recent PM system of interest as an attractive rare earth-
free PM alternative, have advantageous high operating temperature and magnetic …

EXPLORATION OF GRAIN GROWTH EVOLUTION WITH A BIMODAL DISTRIBUTION OF POWDER-BASED ALNICO.

EA Rinko, LM Hickman, N Argibay… - … Journal of Powder …, 2023 - search.ebscohost.com
Alnico, a family of rare-earth-free permanent magnet (PerM) alloys, could be a viable PerM
system to use in electric motors if magnetic properties such as energy product and …