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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Main Authors: Mohd Sakri Fadhilah, Mat Ali Mohamed Sukri, Zaki Sheikh Ahmad
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/21/e3sconf_icpeme2018_02009.pdf
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spelling 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
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