Continuum-scale modeling of water infiltration into a stack of two thin fibrous layers and their inter-layer space. (2nd November 2019)

• Record Type: Journal Article
• Authors: Tavangarrad, Amir Hossein; Mohebbi, Behzad; Qin, Chaozhong; Hassanizadeh, S. Majid; Rosati, Rodrigo; Claussen, Jan; Blümich, Bernhard
• Is Part Of: Chemical engineering science. Volume 207(2019)
• Page Start: 769
• Page End: 779
• Publication Date: 2019-11-02
• Subjects: Thin porous media -- Liquid infiltration -- Low-field NMR -- Fibrous layer -- Richards model -- Reduced Continua Model; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2019.07.001
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Richards model fails in predicting water infiltration into a stack of two thin fibrous layers. Reduced continua model (RCM) can reproduce our NMR experimental results. RCM is much more computational efficient than Richards model. Abstract: Unsaturated water flow through thin porous layers plays an important role in many applications such as water management in hydrogen fuel cells and hygiene products. It is well known that void spaces between adjacent thin layers (i.e., layer-layer interfaces) considerably impact through-plane water infiltration. Therefore, it is essential to account for this fact in the model development. Recently, we reported Nuclear Magnetic Resonance (NMR) measurements of water infiltration into a stack of two thin porous layers of 43-gsm polyester and showed crucial effect of the inter-layer space on the transfer of liquid from one layer to the other. In this work, we aim to test two numerical models of water infiltration into two (partially dry) thin porous layers. One is the standard Richards model for unsaturated flow and the other is Reduced Continua Model (RCM). The latter model is based on thickness-averaged properties and does not provide through-plane distribution of saturation in the layers. Layer-scale material properties are experimentally measured. Sub-layer material properties, which are used in the Richards model, are obtained by pore-morphology modeling of micro-CT images. Our results show that the RCM is superior to the Richards model. It can predict NMR measurements of temporal evolutions of water contents in the two layers quite well. Moreover, it is computationally much more efficient.