A NOVEL FRACTAL MODEL FOR SPONTANEOUS IMBIBITION IN DAMAGED TREE-LIKE BRANCHING NETWORKS

Peilong Wang, Boqi Xiao, Jun Gao, Huaizhi Zhu, Mingxing Liu, Gongbo Long and Peichao Li
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Peilong Wang: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Boqi Xiao: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China†Hubei Provincial Key Laboratory of Chemical Equipment Intensification and Intrinsic Safety, School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China‡Hubei Provincial Engineering Technology Research, Center of Green Chemical Equipment, School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Jun Gao: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China§School of Mechanical and Electrical Engineering, Wuhan Business University, Wuhan 430056, P. R. China
Huaizhi Zhu: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Mingxing Liu: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Gongbo Long: School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Peichao Li: �School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China

FRACTALS (fractals), 2023, vol. 31, issue 01, 1-19

Abstract: Spontaneous imbibition has attracted considerable attention due to its extensive existence in nature. In this study, we theoretically explored the spontaneous imbibition dynamics in a damaged V-shaped tree-like branching network by comparing with a parallel net with fixed constraints. Additionally, the imbibition capacity is characterized by two dimensionless quantities: imbibition potential and dimensionless imbibition time. The fractal theory is then used to generate the analytical expressions of these two dimensionless quantities. After that, the influence of structural parameters on the imbibition process is systematically investigated. It is found that a larger number of damaged channels will correspond to the lower imbibition potential and dimensionless imbibition time. Notably, the branching number N has an evident enhancement effect on the imbibition potential. A parameter plane is introduced to visualize parameter combinations, enabling the direct evaluation of the imbibition process in a specific network system. The physical mechanisms revealed by the proposed model provide effective guidance for imbibition process analysis in the damaged tree-like networks.

Keywords: Damage; Tree-Like Branching Network; Imbibition; Fractal (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218348X2350010X

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