RECONSTRUCTION OF RANDOM FIBROUS POROUS MATERIAL AND NUMERICAL STUDY ON ITS TRANSPORT PROPERTIES BY FRACTAL MONTE CARLO METHOD

Peng Xu, Jialiang Wang, Yao Xu, Fen Qiao, Zhouting Jiang, Binqi Rao and Shuxia Qiu
Additional contact information
Peng Xu: College of Science, China Jiliang University, Hangzhou 310018, P. R. China†Key Laboratory of Intelligent Manufacturing, Quality Big Data Tracing and Analysis of Zhejiang Province, Hangzhou 310018, P. R. China
Jialiang Wang: College of Science, China Jiliang University, Hangzhou 310018, P. R. China
Yao Xu: College of Science, China Jiliang University, Hangzhou 310018, P. R. China
Fen Qiao: ��School of Energy & Power Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
Zhouting Jiang: College of Science, China Jiliang University, Hangzhou 310018, P. R. China
Binqi Rao: �College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, P. R. China
Shuxia Qiu: College of Science, China Jiliang University, Hangzhou 310018, P. R. China

FRACTALS (fractals), 2023, vol. 31, issue 05, 1-14

Abstract: The microstructures and transport properties of fibrous porous material are significant for chemical catalysts, textile engineering, electronic devices, etc. In this paper, a fractal Monte Carlo method (FMCM) is developed to reconstruct the random microstructure of fibrous porous material based on the fractal scaling laws of fiber columns. And, the two-point correlation function of reconstructed fibrous material is calculated, which shows the effectiveness of the FMCM reconstruction. Also, the single-phase fluid flow through the reconstructed random fibrous porous material is simulated by the finite element method. The predicted permeability indicates good agreement with available empirical formulas. It has been found that the effective permeability of fibrous porous material decreases with the increase of fractal dimensions for fiber column. However, the fractal dimension of fiber column width has a greater influence on the effective permeability of fibrous porous material compared with that of fiber column length. The proposed numerical method provides an effective tool to reconstruct the irregular microstructure and understand the complex transport mechanisms of fibrous porous material.

Keywords: Fibrous Porous Material; Fractal Monte Carlo Method; Reconstruction; Two-Point Correlation Function; Effective Permeability; Finite Element Method (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X23500433
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:31:y:2023:i:05:n:s0218348x23500433

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X23500433

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().