Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Gregory J, Wagner"'
Autor:
Abdullah Al Amin, Yangfan Li, Ye Lu, Xiaoyu Xie, Zhengtao Gan, Satyajit Mojumder, Gregory J. Wagner, Wing Kam Liu
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Challenge 3 of the 2022 NIST additive manufacturing benchmark (AM Bench) experiments asked modelers to submit predictions for solid cooling rate, liquid cooling rate, time above melt, and melt pool geometry for single and multiple track lase
Externí odkaz:
https://doaj.org/article/edb26e75c946464da7b892698808e29f
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-15 (2022)
Abstract In additive manufacturing of metal parts, the ability to accurately predict the extremely variable temperature field in detail, and relate it quantitatively to structure and properties, is a key step in predicting part performance and optimi
Externí odkaz:
https://doaj.org/article/74c5e7636730489aabedc4178dafb8cf
Autor:
Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu
Publikováno v:
Engineering, Vol 5, Iss 4, Pp 730-735 (2019)
To design microstructure and microhardness in the additive manufacturing (AM) of nickel (Ni)-based superalloys, the present work develops a novel data-driven approach that combines physics-based models, experimental measurements, and a data-mining me
Externí odkaz:
https://doaj.org/article/f49e362bec9a48e29368f7c418c558a5
A cellular automaton finite volume method for microstructure evolution during additive manufacturing
Publikováno v:
Materials & Design, Vol 169, Iss , Pp - (2019)
Additive manufacturing (AM) processes produce unique microstructures compared with other manufacturing processes because of the large thermal gradient, high solidification rate and other local temperature variations caused by the repeated heating and
Externí odkaz:
https://doaj.org/article/b9ec7effb9b4480199ff928cbf15f73b
Autor:
Chanwook Park, Ye Lu, Sourav Saha, Tianju Xue, Jiachen Guo, Satyajit Mojumder, Daniel W. Apley, Gregory J. Wagner, Wing Kam Liu
Publikováno v:
Computational Mechanics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::603d932c949c8a97c32280174d136d0d
https://doi.org/10.1007/s00466-023-02329-4
https://doi.org/10.1007/s00466-023-02329-4
Autor:
Ye Lu, Hengyang Li, Lei Zhang, Chanwook Park, Satyajit Mojumder, Stefan Knapik, Zhongsheng Sang, Shaoqiang Tang, Daniel W. Apley, Gregory J. Wagner, Wing Kam Liu
Publikováno v:
Computational Mechanics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1de03509059bad6316ea0173f3c81e55
https://doi.org/10.1007/s00466-023-02336-5
https://doi.org/10.1007/s00466-023-02336-5
Publikováno v:
Journal of Manufacturing Science and Engineering. 145
Additive manufacturing (AM) simulations offer an alternative to expensive AM experiments to study the effects of processing conditions on granular microstructures. Existing AM simulations lack support from reliable validation techniques. The stochast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::568713c5740d464aff38034156d99603
https://doi.org/10.1115/1.4056690
https://doi.org/10.1115/1.4056690
Autor:
Jeesoo Lee, Sumeet S. Mitter, Lowie Van Assche, Hyungkyu Huh, Gregory J. Wagner, Erik Wu, Alex J. Barker, Michael Markl, James D. Thomas
PurposeGrounded in hydrodynamic theory, proximal isovelocity surface area (PISA) is a simplistic and practical technique widely used to quantify valvular regurgitation flow. PISA provides a relatively reasonable, though slightly underestimated flow r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c84f46332616aadd9da3b275cd5e788
https://doi.org/10.21203/rs.3.rs-1902685/v1
https://doi.org/10.21203/rs.3.rs-1902685/v1
Autor:
Jeesoo, Lee, Sumeet S, Mitter, Lowie, Van Assche, Hyungkyu, Huh, Gregory J, Wagner, Erik, Wu, Alex J, Barker, Michael, Markl, James D, Thomas
Publikováno v:
The international journal of cardiovascular imaging.
Grounded in hydrodynamic theory, proximal isovelocity surface area (PISA) is a simplistic and practical technique widely used to quantify valvular regurgitation flow. PISA provides a relatively reasonable, though slightly underestimated flow rate for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::82fea3642c49cea23b961f294059db89
https://pubmed.ncbi.nlm.nih.gov/36322265
https://pubmed.ncbi.nlm.nih.gov/36322265
Autor:
Wing Kam Liu, Benjamin Sonin, K. R. Roche, Gregory J. Wagner, Yanping Lian, J. Dallmann, Aaron I. Packman
Publikováno v:
Water Resources Research. 57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9a680eb819894531637ce0585f765c
https://doi.org/10.1029/2021wr029918
https://doi.org/10.1029/2021wr029918