Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
Series Vol. 12 , 17 November 2023
Open
Access | Article
Comparison of various turbulence models in wind tunnels
* Author to whom correspondence should be addressed.
Abstract
Wind tunnel test is widely used in aviation, automobile, construction and other fields to simulate the force and flow field distribution of objects in the wind field. However, due to the existence of complex flow phenomena such as turbulence, the accuracy of the wind tunnel test is affected to a certain extent. Therefore, it is of great significance to study the performance of various turbulence models in the wind tunnel to improve the accuracy of the wind tunnel test. This study compares and analyzes the performance of turbulence models in wind tunnel experiments. Based on various turbulence models, numerical simulation methods are employed to simulate and calculate the flow field in wind tunnel experiments, and the results are compared. Through the comparison and analysis, it is found that different turbulence models exhibit different performance in simulating wind tunnel experiments. Among them, the RSM model demonstrates better accuracy and stability, without the presence of boundary layer effects. The purpose of this research is to evaluate and analyze the applicability of various turbulence models in wind tunnel experiments, provide references and guidance for flow field simulations in wind tunnel testing. However, limitations of this study lie in the constraints of the models and computational methods used, and further research and exploration are needed to address these limitations.
Keywords
CFD turbulence model, wind tunnel, turbulence intensity
References
1. Ismail, John, J., Pane, E. A., Suyitno, B. M., Rahayu, G. H. N. N., Rhakasywi, D., & Suwandi, A. (2020). Computational fluid dynamics simulation of the turbulence models in the tested section on wind tunnel. Ain Shams Engineering Journal.doi:10.1016/j.asej.2020.02.012
2. Han, Jiawei; Zhu, Wenying; Ji, Zengtao (2019). Comparison of veracity and application of different CFD turbulence models for refrigerated transport. Artificial Intelligence in Agriculture, S2589721719300285. doi:10.1016/j.aiia.2019.10.001
3. Chen X., Hussain F., She Z. (2017) Predictions of canonical wall-bounded turbulent flows via a modified k-x equation ARTICLE HISTORY. J Turbul, 18:1-35. doi: https://doi.org/ 10.1080/14685248.2016.1243244.
4. Aupoix B. (2015) Roughness Corrections for the k-w Shear Stress Transport Model : Status and Proposals. J Fluid Eng;137:1–10. doi: https://doi.org/10.1115/ 1.4028122.
5. Wilcox, D. C. (2008). Formulation of the k-w Turbulence Model Revisited. AIAA Journal, 46(11), 2823–2838.doi:10.2514/1.36541
6. Hanjalic, K., & Launder, B. E. (1972). A Reynolds stress model of turbulence and its application to thin shear flows. Journal of Fluid Mechanics, 52(04), 609.doi:10.1017/s002211207200268x
7. Vladimira M., Sergei KET, Ji B. (2014) Numerical and Experimental Investigations of Air Flow Turbulence Characteristic in the Wind Tunnel Contraction. Appl Mech Mater, 617:275-9. Doi: https://doi.org/10.4028/www.scientific.net/AMM.617.275.
8. Rodríguez M., Manuel J., Oro F., Vega M.G., Marigorta E.B., Morros C.S. (2013) Novel design and experimental validation of a contraction nozzle for aerodynamic measurements in a subsonic wind tunnel. Jnl of Wind Engineering and Industrial Aerodynamics, 118:35-43.
9. Hernández MAG, López AIM, Jarzabek A.A., Perales JMP, Wu Y., Xiaoxiao S. (2013) Design Methodology for a Quick and Low-Cost Wind Tunnel. INTECH, pp.3-28.
10. Ahmed D.E., Eliack E.M. (2014) Optimization of Model Wind-Tunnel Contraction Using CFD.10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Orlando: HEFAT. P. 87-92.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
- ISBN (Print)
- 978-1-83558-135-3
- ISBN (Online)
- 978-1-83558-136-0
- Published Date
- 17 November 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/12/20230425
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited