Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Toby Francis"'
Autor:
Paul F. Rottmann, Andrew T. Polonsky, McLean P. Echlin, Michael Krispin, Gotthard Rieger, Toby Francis, Tresa M. Pollock, Megan G. Emigh, Carlos G. Levi
Publikováno v:
Materials Today. 49:23-34
The Alnico 8 alloy has been printed using the selective laser melting additive manufacturing approach, resulting in material with magnetic properties in the as-printed state comparable to properties produced by conventional casting or powder metallur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d89f73db2959f3b157e0f553fc8ccf
https://doi.org/10.1016/j.mattod.2021.05.003
https://doi.org/10.1016/j.mattod.2021.05.003
Autor:
Andrew T. Polonsky, Valéry Valle, Chris J. Torbet, McLean P. Echlin, Patrick G. Callahan, Tresa M. Pollock, Marie-Agathe Charpagne, F. Bourdin, Zhe Chen, Glenn H. Balbus, Toby Francis, Jean Charles Stinville
Publikováno v:
Experimental Mechanics. 61:331-348
Background: Advancements in the Digitial Image Correlation (DIC) technique over the past decade have greatly improved spatial resolution. However, many processes, such as plastic deformation, have a temporal component spanning from fractions of a sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faf17bcd8cd12aecf9920412deeb18d5
https://doi.org/10.1007/s11340-020-00632-2
https://doi.org/10.1007/s11340-020-00632-2
Publikováno v:
Acta Materialia. 195:209-218
With the proliferation of grain boundary data in materials science from both experiments and simulations, tools are needed to explore the five dimensional space of grain boundaries and visualize and fit structure property relationships along arbitrar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed47c822c82203b2584dd6dbc1df806
https://doi.org/10.1016/j.actamat.2020.05.024
https://doi.org/10.1016/j.actamat.2020.05.024
Publikováno v:
Acta Materialia. 166:135-147
We propose a representation of grain boundaries on the unit octonion 7-sphere. This representation comes with algebraic and computational tools for comparing and interpolating between grain boundaries. We derive a geodesic metric based on the inner p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7566f47896786c768d6a65873bbc884b
https://doi.org/10.1016/j.actamat.2018.12.034
https://doi.org/10.1016/j.actamat.2018.12.034
Autor:
V. Anghel, McLean P. Echlin, Marie-Agathe Charpagne, Andrew T. Polonsky, Paul F. Rottmann, David R. Jones, Toby Francis, Tresa M. Pollock, Marc De Graef, George T. Gray
Publikováno v:
Acta Materialia. 215:117057
Predicting the failure of crystalline materials at high strain rates requires knowledge of the underlying failure mechanisms and their dependence on microstructure. In this study, a 3D-EBSD characterization experiment is performed on high-purity tant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8e013b53d0d85b2300cd1435019c36
https://doi.org/10.1016/j.actamat.2021.117057
https://doi.org/10.1016/j.actamat.2021.117057
Autor:
Toby Francis, Yoosuf N. Picard, Brian L. DeCost, Bryan A. Webler, Matthew D. Hecht, Elizabeth A. Holm
Publikováno v:
Integrating Materials and Manufacturing Innovation. 6:197-205
We present a new microstructure dataset consisting of ultrahigh carbon steel (UHCS) micrographs taken over a range of length scales under systematically varied heat treatments. Using the UHCS dataset as a case study, we develop a set of visualization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8caf67af89aae4b32e9f41e49ff0c29
https://doi.org/10.1007/s40192-017-0097-0
https://doi.org/10.1007/s40192-017-0097-0
Autor:
Andrew T. Polonsky, Steven Randolph, McLean P. Echlin, Jorge Filevich, Marcus Straw, Chris J. Torbet, Michael S. Titus, Tresa M. Pollock, Aurelien Botman, Alessandro Mottura, W. C. Lenthe, Remco Geurts, Toby Francis
Publikováno v:
Microscopy and Microanalysis. 26:2624-2625
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b837eaef8b2682df20fef7033a011258
https://doi.org/10.1017/s1431927620022229
https://doi.org/10.1017/s1431927620022229
Publikováno v:
Acta Materialia. 204:116512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e6fcb9cbe018fa509a554242103ca2
https://doi.org/10.1016/j.actamat.2020.116512
https://doi.org/10.1016/j.actamat.2020.116512
We apply a deep convolutional neural network segmentation model to enable novel automated microstructure segmentation applications for complex microstructures typically evaluated manually and subjectively. We explore two microstructure segmentation t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d8aa134133dbb571c8f39547213e71e
We introduce a microstructure informatics dataset focusing on complex, hierarchical structures found in a single Ultrahigh carbon steel under a range of heat treatments. Applying image representations from contemporary computer vision research to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab91be2816f4037382cc649ce8f9a547