A pore network model for calculating pressure drop in packed beds of arbitrary‐shaped particles. Issue 9 (20th June 2020)

• Record Type: Journal Article
• Authors: Liu, Xinlei; Peng, Chong; Bai, Hongxin; Zhang, Qunfeng; Ye, Guanghua; Zhou, Xinggui; Yuan, Weikang
• Is Part Of: AIChE journal. Volume 66:Issue 9(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-06-20
• Subjects: Ergun‐type equation -- packed bed -- particle‐resolved CFD -- pore network model -- pressure drop; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; 660.28
• DOI: 10.1002/aic.16258
• Languages: English
• ISSNs: 0001-1541

Abstract

Abstract: A pore network model is built to predict pressure drop in packed beds of arbitrary‐shaped particles, using a method that consists of particle packing by the rigid body technique, pore network construction by the maximal sphere algorithm, and numerical calculation of fluid flow. The pore network model is firstly validated by comparing with experiments, Ergun‐type equations, and particle‐resolved computational fluid dynamics (CFD). The pore network model is as accurate as the particle‐resolved CFD, and is remarkably two to three orders of magnitude less computationally intensive. Then, the pore network model is used to calculate the pressure drops in the beds packed with particles of different shapes and sizes, as well as using different flow media. These calculation results prove the versatility of the pore network model. This work provides an accurate yet efficient pore network model for predicting pressure drop, which should be a powerful tool for designing packed beds.