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Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data
A novel data science workflow is developed and demonstrated to extract process-structure linkages (i.e., reduced-order model) for microstructure evolution problems when the final microstructure depends on (simulation or experimental) processing parameters. This workflow consists of four main steps:...
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| Publicado no: | Integr Mater Manuf Innov |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6946012/ https://ncbi.nlm.nih.gov/pubmed/31976205 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40192-017-0088-1 |
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