Accuracy of the Pore Morphology Method in Modeling Fluid Saturation in 3D Fibrous Domains

被引:1
|
作者
Bhatta, Nishant [1 ]
Gautam, Sashank [1 ]
Farhan, Noor M. [2 ]
Tafreshi, Hooman V. [1 ,3 ]
Pourdeyhimi, Behnam [3 ]
机构
[1] North Carolina State Univ, Dept Mech & Aerosp Engn, Raleigh, NC 27606 USA
[2] Virginia Commonwealth Univ, Dept Mech & Nucl Engn, Richmond, VA 23284 USA
[3] NC State Univ, Nonwovens Inst, Raleigh, NC 27606 USA
关键词
SUPERHYDROPHOBIC COATINGS; CAPILLARY-PRESSURE; SIMULATION; MEDIA; DRAINAGE; LIQUID; HYDROENTANGLEMENT; PREDICTION; INTERFACE; STABILITY;
D O I
10.1021/acs.iecr.4c02939
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The volume-of-fluid (VOF) method is among the most popular methods of simulating fluid saturation in porous media. Unfortunately, however, the VOF method becomes extremely slow in 3D domains. The problem arises from the need to use very small time steps and volume elements to achieve an accurate and stable numerical simulation. A quasi-static alternative to approximate the results of VOF simulations is the pore morphology method (PMM). The PMM does not require solving nonlinear partial differential equations (i.e., the Navier-Stokes equations), and as such, it is orders of magnitude faster than the VOF method in terms of CPU time. However, the PMM is less accurate than the VOF or other physics-based methods. The current study was therefore devised to assess the accuracy of PMM simulations in geometries with different degrees of anisotropy and disorder. Our study revealed that the PMM predictions become inaccurate when the pores in the media have high-aspect-ratio cross sections (e.g., rectangular cross sections). It was also found that the PMM algorithm marks the largest pore in the domain as the location where a non-wetting phase starts penetrating into the saturated media regardless of the contact angle of the media (as long as all solid surfaces in the media have the same contact angle), which obviously is inaccurate. The PMM results reported in this paper were produced by using an in-house MATLAB code.
引用
收藏
页码:18147 / 18159
页数:13
相关论文
共 50 条
  • [41] A quantitative characterization method of 3D morphology of sand particles
    Fu Ru
    Hu Xin-li
    Zhou Bo
    Wang Hua-bin
    Wang Jian-feng
    ROCK AND SOIL MECHANICS, 2018, 39 (02) : 483 - 490
  • [42] On the Pore-Scale Modeling and Simulation of Reactive Transport in 3D Geometries
    Iliev, Oleg
    Lakdawala, Zahra
    Nessler, Katherine H. L.
    Prill, Torben
    Vutov, Yavor
    Yang, Yongfei
    Yao, Jun
    MATHEMATICAL MODELLING AND ANALYSIS, 2017, 22 (05) : 671 - 694
  • [43] A Visualization Modeling Method of Road 3D Model
    Yu, Yang
    Su, Hu
    Wang, Zhi-qiang
    Peng, Xiong-qing
    2019 INTERNATIONAL CONFERENCE ON ENERGY, POWER, ENVIRONMENT AND COMPUTER APPLICATION (ICEPECA 2019), 2019, 334 : 267 - 273
  • [44] Study On the method of 3D Geologic Modeling and Visualization
    Liu, Shaohua
    Wang, Xinhai
    Jun, Tang
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 2862 - 2865
  • [45] A new method for 3D modeling of neurosurgical procedures
    Köster, I
    Samii, A
    Brinker, T
    Matthies, HK
    CARS 2002: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2002, : 1071 - 1071
  • [46] Acoustic 3D modeling by the method of integral equations
    Malovichko, M.
    Khokhlov, N.
    Yavich, N.
    Zhdanov, M.
    COMPUTERS & GEOSCIENCES, 2018, 111 : 223 - 234
  • [47] Method for 3D modeling and simulation based on joint
    Liu, Yu-Xiang
    Zhang, Heng
    Lu, Shi-Wen
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (06): : 1316 - 1319
  • [48] RESEARCH ON THE METHOD OF 3D MODELING FOR GEOLOGICAL BODY
    Xiu Chunhua
    Che Defu
    Che Jiayu
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2121 - 2124
  • [49] A Rapid Modeling Method for 3D Architectural Scene
    Ren, Pu
    Wang, Zhe
    Fan, Yachun
    Zhou, Mingquan
    Dui, Guoguang
    2016 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW), 2016, : 9 - 16
  • [50] RESEARCH ON METHOD FOR 3D URBAN GEOLOGICAL MODELING
    Che De-fu
    Xiu Chun-hua
    Yin Zuo-ru
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 639 - +