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Title: Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method

Abstract

A moment-of-fluid method is presented for computing solutions to incompressible multiphase flows in which the number of materials can be greater than two. In this work, the multimaterial moment-of-fluid interface representation technique is applied to simulating surface tension effects at points where three materials meet. The advection terms are solved using a directionally split cell integrated semi-Lagrangian algorithm, and the projection method is used to evaluate the pressure gradient force term. The underlying computational grid is a dynamic block-structured adaptive grid. The new method is applied to multiphase problems illustrating contact-line dynamics, triple junctions, and encapsulation in order to demonstrate its capabilities. Examples are given in two-dimensional, three-dimensional axisymmetric (R–Z), and three-dimensional (X–Y–Z) coordinate systems.

Authors:
 [1];  [1];  [1];  [2];  [2];  [2];  [3]
  1. Univ. of Louisville, KY (United States). Mechanical Engineering Dept.
  2. Florida State Univ., Tallahassee, FL (United States). Dept. of Mathematics
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1496975
Report Number(s):
SAND-2019-1362J
Journal ID: ISSN 0271-2091; 672392
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
International Journal for Numerical Methods in Fluids
Additional Journal Information:
Journal Volume: 79; Journal Issue: 9; Journal ID: ISSN 0271-2091
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; multi-phase flow; Moment of fluid method; Interface

Citation Formats

Li, Guibo, Lian, Yongsheng, Guo, Yisen, Jemison, Matthew, Sussman, Mark, Helms, Trevor, and Arienti, Marco. Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method. United States: N. p., 2015. Web. doi:10.1002/fld.4062.
Li, Guibo, Lian, Yongsheng, Guo, Yisen, Jemison, Matthew, Sussman, Mark, Helms, Trevor, & Arienti, Marco. Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method. United States. https://doi.org/10.1002/fld.4062
Li, Guibo, Lian, Yongsheng, Guo, Yisen, Jemison, Matthew, Sussman, Mark, Helms, Trevor, and Arienti, Marco. Tue . "Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method". United States. https://doi.org/10.1002/fld.4062. https://www.osti.gov/servlets/purl/1496975.
@article{osti_1496975,
title = {Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method},
author = {Li, Guibo and Lian, Yongsheng and Guo, Yisen and Jemison, Matthew and Sussman, Mark and Helms, Trevor and Arienti, Marco},
abstractNote = {A moment-of-fluid method is presented for computing solutions to incompressible multiphase flows in which the number of materials can be greater than two. In this work, the multimaterial moment-of-fluid interface representation technique is applied to simulating surface tension effects at points where three materials meet. The advection terms are solved using a directionally split cell integrated semi-Lagrangian algorithm, and the projection method is used to evaluate the pressure gradient force term. The underlying computational grid is a dynamic block-structured adaptive grid. The new method is applied to multiphase problems illustrating contact-line dynamics, triple junctions, and encapsulation in order to demonstrate its capabilities. Examples are given in two-dimensional, three-dimensional axisymmetric (R–Z), and three-dimensional (X–Y–Z) coordinate systems.},
doi = {10.1002/fld.4062},
journal = {International Journal for Numerical Methods in Fluids},
number = 9,
volume = 79,
place = {United States},
year = {Tue Jul 14 00:00:00 EDT 2015},
month = {Tue Jul 14 00:00:00 EDT 2015}
}

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