Mechanics-guided data-driven model for temperature-dependent elastoplastic behavior of conventional and additively manufactured metals
Quantifying high-temperature mechanical degradation in metals is essential for designing components in aerospace, automotive, and power generation applications. Consequently, accurate predictions of this temperature-dependent behavior enable safer and more efficient design under thermal loading. To...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2026-03-01
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| Serie: | Results in Engineering |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2590123026001404 |
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