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pro vyhledávání: '"Shimanek, John D."'
In the present work, the ideal shear strength (Tis) of dilute Ni34XZ ternary alloys (X or Z = Al, Co, Cr, Fe, Mn, Mo, Nb, Si, Ti) are predicted by first-principles calculations based on density functional theory (DFT) in terms of pure alias shear def
Externí odkaz:
http://arxiv.org/abs/2404.19098
Publikováno v:
3D Printing and Additive Manufacturing. 2024 Feb 12
The mitigation of material defects from additive manufacturing (AM) processes is critical to reliability in their fabricated parts and is enabled by modeling the complex relations between available build monitoring signals and final mechanical perfor
Externí odkaz:
http://arxiv.org/abs/2402.14945
Publikováno v:
Computational Materials Science 237 (2024) 112879
The crystal plasticity finite element method (CPFEM) is a widely used technique for resolving macroscopic stress and strain onto the physically relevant length scales of grains and slip systems in ductile crystalline materials like structural metals.
Externí odkaz:
http://arxiv.org/abs/2402.15056
Publikováno v:
Computational Materials Science 212 (2022) 111564
The present work examines the effect of alloying elements (denoted X) on the ideal shear strength for 26 dilute Ni-based alloys, Ni$_{11}$X, as determined by first-principles calculations of pure alias shear deformations. The variations in ideal shea
Externí odkaz:
http://arxiv.org/abs/2108.06412
Publikováno v:
JOM 74 (2022) 1423
To reduce reliance on experimental fitting data within the crystal plasticity finite element method (CPFEM), an approached is proposed that integrates first-principles calculations based on density functional theory (DFT) to predict the strain harden
Externí odkaz:
http://arxiv.org/abs/2002.08552
Autor:
Eghtesad, Adnan, Shimanek, John D., Shang, Shun-Li, Lebensohn, Ricardo, Knezevic, Marko, Liu, Zi-Kui, Beese, Allison M.
Publikováno v:
In Computational Materials Science December 2022 215
Publikováno v:
In Computational Materials Science September 2022 212
Akademický článek
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Autor:
Cusentino, Mary Alice, Nebgen, Ben, Barros, Kipton M., Smith, Justin S., Shimanek, John D., Allen, Alice, Thompson, Aidan P., Fensin, Saryu J., Lane, J. Matthew D.
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2844 Issue 1, p1-6, 6p
Demo version of the dataset, for the upcoming publication: Transfer learning to predict mechanical properties of additively manufactured Ti-6Al-4V using in situ processing data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ad5ff00466d8eae81c94d12cc7c386c