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Predicting Air Flow in Calendered Paper Sheets from μ-CT Data: Combining Physics with MorphologyNARA Subscribed
Predicting the macroscopic properties of thin fiber-based porous materials from their microscopic morphology remains challenging because of the structural heterogeneity of these materials. In this study, computational fluid dynamics simulations were performed to compute volume air flow based on tomographic image data of uncompressed and compressed paper sheets. To reduce computational demands, a pore network model was employed...
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