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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Detaylı Bibliyografya
Yayımlandı:Integr Mater Manuf Innov
Asıl Yazarlar: Popova, Evdokia, Rodgers, Theron M., Gong, Xinyi, Cecen, Ahmet, Madison, Jonathan D., Kalidindi, Surya R.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer International Publishing 2017
Konular:
Research
Online Erişim: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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