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Paper ID:IJSREM67584

Assessment of Turbulence Model Assumptions Through Comparative Analysis of a Typical Turbulent Flow Field

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67584

Volume:

10 |

9 |

Sep 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67584

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

IMRAN HUSSAIN

IMRAN HUSSAIN

MECHANICAL ENGINEERING

MEHRAN UNIVERSITY OF ENGINEERING AND TECHNOLOGY

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Abstract

This study assesses the assumptions underlying turbulence modelling through a comparative computational fluid dynamics analysis of a representative turbulent flow field over the RAE2822 airfoil. The analysis begins with preparation of the two-dimensional airfoil geometry in ICEM-CFD, followed by construction of an external aerodynamic domain and generation of an initial mesh with near-wall inflation and wake refinement. A baseline solution is obtained using the standard k–ε turbulence model with standard wall functions. Near-wall resolution is then assessed using y⁺, with the first-layer height and inflation settings adjusted until the values fall within the stated wall-function range of approximately 30–300. A second mesh with approximately twice the cell count is used for a grid-independence assessment by comparing aerodynamic coefficients and pressure distributions. The grid-independent solution is subsequently compared with the provided experimental data, while Mach and Reynolds number similarity are checked by adjusting the CFD setup to the target flow conditions. The reported comparison captures the principal flow features and trends with acceptable agreement, with minor deviations attributed in the source to limitations of the standard k–ε model. The refined mesh requires greater computational time but remains manageable within the stated hardware and license constraints.

KEYWORDS

turbulence modelling; computational fluid dynamics; RAE2822 airfoil; RANS; k–ε model; y⁺; grid independence

Cite This Article

IMRAN HUSSAIN, "Assessment of Turbulence Model Assumptions Through Comparative Analysis of a Typical Turbulent Flow Field," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-5, Sep 2026. https://doi.org/10.55041/IJSREM67584

Full Article/Conclusion

This study evaluated the influence and practical implications of turbulence-model assumptions for a representative transonic RAE2822 airfoil case using computational fluid dynamics. The workflow established a valid high-Re baseline solution through geometry preparation, construction of the external computational domain, near-wall inflation, far-field boundary conditions, and the standard k–ε model with standard wall functions. The y⁺ assessment required adjustment of the first-layer height and inflation settings until the reported values were within the stated range of 30–300. A second mesh with approximately twice the cell count produced only small differences in aerodynamic coefficients and pressure distributions, supporting the reported grid-independent solution. Comparison with the provided experimental data captured the principal pressure and aerodynamic trends with acceptable agreement, while minor deviations were consistent with the stated limitations of the standard k–ε model. The Mach and Reynolds number matching procedure further aligned the CFD setup with the target experimental conditions. Overall, the study demonstrates the importance of mesh quality, near-wall resolution, similarity conditions, and experimental comparison when assessing turbulence-modelling assumptions in transonic CFD. The refined mesh increased computational time but remained manageable within the stated hardware and license constraints.

References

[1] S. B. Pope, Turbulent Flows, Cambridge University Press, Cambridge, U.K., 2000. [2] F. R. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications,” AIAA Journal, vol. 32, no. 8, pp. 1598–1605, 1994, doi: 10.2514/3.12149. [3] D. C. Wilcox, Turbulence Modeling for CFD, 2nd ed., DCW Industries, La Cañada, CA, USA, 1998. [4] ANSYS, Inc., Ansys Fluent Theory Guide, Release 2025 R1, Canonsburg, PA, USA, 2025. [5] P. H. Cook, M. A. McDonald, and M. C. P. Firmin, “Aerofoil RAE 2822—Pressure Distributions, and Boundary Layer and Wake Measurements,” Experimental Data Base for Computer Program Assessment, AGARD Report AR 138, 1979.

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Publication Date

9/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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