Issue |
BIO Web Conf.
Volume 145, 2024
International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2024)
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Article Number | 03041 | |
Number of page(s) | 10 | |
Section | Timber Industry and Mechanization of the Forestry Complex | |
DOI | https://doi.org/10.1051/bioconf/202414503041 | |
Published online | 28 November 2024 |
Comparison of turbulent flow simulation results in 2d backward facing step channel using Ansys Fluent and Comsol Multiphysics programs
1 Institute of Mechanics and Seismic Resistance of Structures of the Academy of Sciences of the Republic of Uzbekistan, 100125, Tashkent, Uzbekistan
2 Fergana Polytechnic Institute, 86, Fergana Street, 150107, Fergana, Uzbekistan
3 Fergana State University, 19, Murabbiylar Street, 150100, Fergana, Uzbekistan
* Corresponding author: Madaliev.me2019@mail.ru
This paper conducts a comprehensive comparison of numerical simulations of turbulent flow in a sharply expanding channel, utilizing the NASA TMR database as a benchmark. Using advanced computational tools, Ansys Fluent and Comsol Multiphysics 6.2, the study focuses on the hydrodynamic behavior of turbulent flows that are influenced by variations in channel geometry. The analysis emphasizes key flow parameters, including velocity profiles, pressure distribution, and turbulence characteristics, to assess the performance of each software package. By benchmarking the computational results against experimental data from the NASA TMR database, the study highlights the accuracy and efficiency of the methodologies employed. Furthermore, this comparison elucidates the advantages and limitations of Ansys Fluent and Comsol Multiphysics in addressing complex turbulent flow problems. Ultimately, this research seeks to enhance our understanding of turbulent flow dynamics and contribute valuable insights for future studies and applications in fluid mechanics.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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