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https://hdl.handle.net/20.500.11851/11518
Title: | The CFD Computation and Validation of Effects of Adaptive Mesh Refinement in Sloshing Simulation in A Narrow Tank | Authors: | Sayak, E. Uslu, S. |
Keywords: | adaptive mesh refinement free surface flow multiphase flow sloshing volume of fluid |
Publisher: | Avestia Publishing | Abstract: | Strong and precise computational methods are necessary to discover and understand undesirable effects in tanks where liquids slosh, known as sloshing. Sloshing is important for many industrial applications, such as fuel tanks in ships, aircraft, and other transport vehicles. Numerical methods are commonly used in modelling sloshing behaviour, and adaptive mesh refinement (AMR) technology is an effective method used to increase numerical accuracy in sloshing simulations. The primary objective of this research isto conduct Computational Fluid Dynamics (CFD) calculations of sloshing phenomena to establish a methodology for observing the undesirable effects on the relevant system and assess the effectiveness of adaptive mesh refinement by comparing the results of surface impact pressures with experimental case results from literature. A 3D model of a rectangular tank partially filled with water is used to simulate the impact pressure caused by roll motion. The roll motion is based on experimental data and occurs at periods close to the tank's internal wave resonance period. The pressure results are observed from a single monitoring point. Numerical studies are performedusing Star CCM+ software. The Volume of Fluid (VOF) based Eulerian method is utilised to model the free surface flow. The study demonstrates the ability of AMR to accurately model sloshing behaviour and compares fixed and AMR grids at different levels. Finally, the results of fixed and adaptive cartesian grids are compared and verified with corresponding experimental data. The results showed thatthe AMR grid provided higher numerical accuracy, lower computational cost and allowed for more accurate modelling of sloshing behaviour. It is emphasised that the importance of AMR for understanding sloshing behaviour and modelling it accurately. © 2023, Avestia Publishing. All rights reserved. | Description: | 9th World Congress on Mechanical, Chemical, and Material Engineering, MCM 2023 -- 6 August 2023 through 8 August 2023 -- 309509 | URI: | https://doi.org/10.11159/htff23.202 https://hdl.handle.net/20.500.11851/11518 |
ISBN: | 9781990800276 | ISSN: | 2369-8136 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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