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Title: Surface tension models for a multi-material ALE code with AMR

Abstract

© 2017 Elsevier Ltd A number of surface tension models have been implemented in a 3D multi-physics multi-material code, ALE–AMR, which combines Arbitrary Lagrangian Eulerian (ALE) hydrodynamics with Adaptive Mesh Refinement (AMR). ALE–AMR is unique in its ability to model hot radiating plasmas, cold fragmenting solids, and most recently, the deformation of molten material. The surface tension models implemented include a diffuse interface approach with special numerical techniques to remove parasitic flow and a height function approach in conjunction with a volume-fraction interface reconstruction package. These surface tension models are benchmarked with a variety of test problems. Based on the results, the height function approach using volume fractions was chosen to simulate droplet dynamics associated with extreme ultraviolet (EUV) lithography.

Authors:
 [1];  [2];  [2];  [3];  [3];  [3];  [3];  [3]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Google, Mountain View, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1430982
Alternate Identifier(s):
OSTI ID: 1419392; OSTI ID: 1436632
Report Number(s):
LLNL-JRNL-748075
Journal ID: ISSN 0045-7930
Grant/Contract Number:  
AC52-07NA27344; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Computers and Fluids
Additional Journal Information:
Journal Volume: 151; Journal Issue: C; Journal ID: ISSN 0045-7930
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 42 ENGINEERING; Surface tension; ALE; AMR; Multi-physics modeling; Interface reconstruction; Lithography

Citation Formats

Liu, Wangyi, Koniges, Alice, Gott, Kevin, Eder, David, Barnard, John, Friedman, Alex, Masters, Nathan, and Fisher, Aaron. Surface tension models for a multi-material ALE code with AMR. United States: N. p., 2017. Web. https://doi.org/10.1016/j.compfluid.2017.01.016.
Liu, Wangyi, Koniges, Alice, Gott, Kevin, Eder, David, Barnard, John, Friedman, Alex, Masters, Nathan, & Fisher, Aaron. Surface tension models for a multi-material ALE code with AMR. United States. https://doi.org/10.1016/j.compfluid.2017.01.016
Liu, Wangyi, Koniges, Alice, Gott, Kevin, Eder, David, Barnard, John, Friedman, Alex, Masters, Nathan, and Fisher, Aaron. Thu . "Surface tension models for a multi-material ALE code with AMR". United States. https://doi.org/10.1016/j.compfluid.2017.01.016. https://www.osti.gov/servlets/purl/1430982.
@article{osti_1430982,
title = {Surface tension models for a multi-material ALE code with AMR},
author = {Liu, Wangyi and Koniges, Alice and Gott, Kevin and Eder, David and Barnard, John and Friedman, Alex and Masters, Nathan and Fisher, Aaron},
abstractNote = {© 2017 Elsevier Ltd A number of surface tension models have been implemented in a 3D multi-physics multi-material code, ALE–AMR, which combines Arbitrary Lagrangian Eulerian (ALE) hydrodynamics with Adaptive Mesh Refinement (AMR). ALE–AMR is unique in its ability to model hot radiating plasmas, cold fragmenting solids, and most recently, the deformation of molten material. The surface tension models implemented include a diffuse interface approach with special numerical techniques to remove parasitic flow and a height function approach in conjunction with a volume-fraction interface reconstruction package. These surface tension models are benchmarked with a variety of test problems. Based on the results, the height function approach using volume fractions was chosen to simulate droplet dynamics associated with extreme ultraviolet (EUV) lithography.},
doi = {10.1016/j.compfluid.2017.01.016},
journal = {Computers and Fluids},
number = C,
volume = 151,
place = {United States},
year = {2017},
month = {6}
}

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