Benchmark on the Dynamics of Liquid Draining Inside a Tank
Immense information and details observation of flow physics inside a draining tank can be achieved by adopting reliable numerical simulations. Yet the accuracy of numerical results has been always debatable and it is mainly affected by the grid convergence error and computational modeling approaches...
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2019-01-01
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doaj-db1e58c3ff42457a91092d6a4614709b2021-03-02T09:28:05ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01950200910.1051/e3sconf/20199502009e3sconf_icpeme2018_02009Benchmark on the Dynamics of Liquid Draining Inside a TankMohd Sakri Fadhilah0Mat Ali Mohamed Sukri1Zaki Sheikh Ahmad2Universiti Kuala Lumpur – Malaysia Institute of Aviation Technology (UniKL MIAT)Wind Engineering Laboratory, Malaysia-Japan International Institute of Technology (MJIIT), UTM Kuala LumpurWind Engineering Laboratory, Malaysia-Japan International Institute of Technology (MJIIT), UTM Kuala LumpurImmense information and details observation of flow physics inside a draining tank can be achieved by adopting reliable numerical simulations. Yet the accuracy of numerical results has been always debatable and it is mainly affected by the grid convergence error and computational modeling approaches. Hence, this study is divided into two stages. In the first stage, this paper determines a systematic method of refining a computational grid for a liquid draining inside a tank using OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is also examined. In order to study the effect of grid dependency, three different grid refinements are investigated: fine, medium and coarse grids. By using a form of Richardson extrapolation and Grid Convergence Index (GCI), the level of grid independence is attained. In this paper, a monotonic convergence criteria is reached when the fine grid has the GCI value below 10% for each parameter. In the second stage, different computational modeling approaches (DNS, RANS k-ε, RANS k-ω and LES turbulence models) are investigated using the finer grid from the first stage. The results for the draining time and flow visualization of the generation of an air-core are in a good agreement with the available published data. The Direct Numerical Simulation (DNS) seems most reasonably satisfactory for VOF studies relating air-core compared to other different turbulence modeling approaches.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/21/e3sconf_icpeme2018_02009.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohd Sakri Fadhilah Mat Ali Mohamed Sukri Zaki Sheikh Ahmad |
spellingShingle |
Mohd Sakri Fadhilah Mat Ali Mohamed Sukri Zaki Sheikh Ahmad Benchmark on the Dynamics of Liquid Draining Inside a Tank E3S Web of Conferences |
author_facet |
Mohd Sakri Fadhilah Mat Ali Mohamed Sukri Zaki Sheikh Ahmad |
author_sort |
Mohd Sakri Fadhilah |
title |
Benchmark on the Dynamics of Liquid Draining Inside a Tank |
title_short |
Benchmark on the Dynamics of Liquid Draining Inside a Tank |
title_full |
Benchmark on the Dynamics of Liquid Draining Inside a Tank |
title_fullStr |
Benchmark on the Dynamics of Liquid Draining Inside a Tank |
title_full_unstemmed |
Benchmark on the Dynamics of Liquid Draining Inside a Tank |
title_sort |
benchmark on the dynamics of liquid draining inside a tank |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
Immense information and details observation of flow physics inside a draining tank can be achieved by adopting reliable numerical simulations. Yet the accuracy of numerical results has been always debatable and it is mainly affected by the grid convergence error and computational modeling approaches. Hence, this study is divided into two stages. In the first stage, this paper determines a systematic method of refining a computational grid for a liquid draining inside a tank using OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is also examined. In order to study the effect of grid dependency, three different grid refinements are investigated: fine, medium and coarse grids. By using a form of Richardson extrapolation and Grid Convergence Index (GCI), the level of grid independence is attained. In this paper, a monotonic convergence criteria is reached when the fine grid has the GCI value below 10% for each parameter. In the second stage, different computational modeling approaches (DNS, RANS k-ε, RANS k-ω and LES turbulence models) are investigated using the finer grid from the first stage. The results for the draining time and flow visualization of the generation of an air-core are in a good agreement with the available published data. The Direct Numerical Simulation (DNS) seems most reasonably satisfactory for VOF studies relating air-core compared to other different turbulence modeling approaches. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/21/e3sconf_icpeme2018_02009.pdf |
work_keys_str_mv |
AT mohdsakrifadhilah benchmarkonthedynamicsofliquiddraininginsideatank AT matalimohamedsukri benchmarkonthedynamicsofliquiddraininginsideatank AT zakisheikhahmad benchmarkonthedynamicsofliquiddraininginsideatank |
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