Computational Analysis to Improve the Aerodynamic Performance of NACA 0012 in Transonic Flow Using Raw Riblet Patterns
Siva MARIMUTHU, Sheikh ISLAM, Parvathy RAJENDRAN, Rajadurai MURUGESAN
Abstract. Emission reduction is of global importance and a big challenge in the aviation industry. In this research project, the emission issue was addressed aerodynamically by improving the performance of wings in transonic flow. This improvement was achieved by implementing a Raw-riblet pattern at different locations on the top surface of the wing as this showed higher values of viscous drag. Viscous drag is a large composition of total drag and reducing them will help to reduce the fuel consumption of aircraft and effectively reduce the carbon emissions. Two types of designs named Low-depth (0.305) and Low-depth (0.455) patterns were developed based on the ‘Raw Riblet’. Computational analyses were carried out in the commercial code FLUENT with the help of the Spalart-Allmaras turbulence model to capture the viscous drag issues on the normal NACA 0012 wing at different angles of attack and solved them using the biomimetic patterns implemented. It was evidenced in this research work that the Low-depth (0.455) Raw Riblet pattern could reduce a significant amount of viscous drag on the NACA wing when compared to the Low-depth (0.305) pattern. Compatibility tests were done to check the suitability and stability of the model and mesh, respectively, and compared them to the experimental results. This research demonstrated the potential of surface texture-based solutions for aerodynamic design improvement and emission reduction.
Keywords
Computational Analysis, Viscous Drag, Raw-Riblets, Surface Pattern
Published online 7/20/2026, 5 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Siva MARIMUTHU, Sheikh ISLAM, Parvathy RAJENDRAN, Rajadurai MURUGESAN, Computational Analysis to Improve the Aerodynamic Performance of NACA 0012 in Transonic Flow Using Raw Riblet Patterns, Materials Research Proceedings, Vol. 69, pp 125-129, 2026
DOI: https://doi.org/10.21741/9781644904251-22
The article was published as article 22 of the book CEAS – AIDAA Conference 2025
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] Information on https://www.airbus.com/en/products-services/commercial-aircraft/global-market-forecast.
[2] Xiong, X., Song, X., Kaygorodova, A., Ding, X., Guo, L. and Huang, J., Aviation and carbon emissions: Evidence from airport operations, Journal of Air Transport Management, 109, p.102383, (2023), https://doi.org/10.1016/j.jairtraman.2023.102383
[3] Graver, B., and Zhang, K., CO2 emissions from commercial aviation 2018, The International Council on Clean Transportation, pp. 1- 13, (2019).
[4] Feuvre, P.L., Are aviation biofuel is ready for take off?, (2019), https://www.iea.org/commentaries/are-aviation-biofuels-ready-for-take-off.
[5] Capoccitti, S., Khare, A., and Mildenberger, U., Aviation industry – mitigating climate change impacts through technology and policy, Journal of Technology Management and Innovation, pp. 66-75, (2010).
[6] Nath, D.S., Pujari, P.C., Jain, A. et al., Drag reduction by application of aerodynamic devices in a race car, Advances in Aerodynamics, 3, 4 (2021), https://doi.org/10.1186/s42774-020-00054-7.
[7] Ricco, P., Stoke, M., and Leschziner, M.A., A review of turbulent skin-friction drag reduction by near-wall transverse forcing, Progress in aerospace sciences, pp.1-137, (2021).
[8] Kumar, S., Pandey, K.M., and Sharma, K.K., Advances in drag-reduction methods related with boundary layer control – A review, Materials Today: Proceedings 45, pp. 6694-6701, (2021).
[9] Liu, Q., Zhong, S., and Li, L., Effects of Bio-inspired micro-scale surface patterns on the profile losses in a linear cascade, Journal of Turbomachinery, 141(12): 121006, (2019).
[10] Lloyd, C.J., Peakall, J., Burns, A.D., Keevil, G.M., Dorrell, R.M., Wignall, P.B., and Fletcher T.M., Hydrodynamic efficiency in sharks: the combined role of riblets and denticles, Bioinspiration and Biomimetics, 16 (4), pp. 1-17, (2021).
[11] Marimuthu, S., and Chinnathambi, D., Computational analysis of biomimetic butterfly valve, Bioinspired, Biomimetic and Nanobiomaterials, 9 (4): 223–232, (2020), https://doi.org/10.1680/jbibn.20.00027.
[12] Marimuthu, S., Natarajan, S., Ramesh R., and Murugesan, R., Hollow Three-dimensional Model for Fuel Reduction in Aviation Industry, International Journal on Interactive Design and Manufacturing, (2022), https://doi.org/10.1007/s12008-022-00883-4.
[13] Marimuthu, S., Al-Rabeei, S., and Boha, H-A., Three-dimensional analysis of biomimetic aerofoil in transonic flow, Biomimetics (MDPI), 7(1), 20, (2022), https://doi.org/10.3390/biomimetics7010020.
[14] Marimuthu, S., and Chinnathambi, D., Computational Analysis to Enhance the Compressible Flow over an Aerofoil surface, Aircraft Engineering and Aerospace Technology, 93(5), 925-934, (2021), https://doi.org/10.3390/biomimetics7010020.
[15] Information on http://airfoiltools.com/.
[16] Pellerin, N., Leclaire, S., and Reggio, M., An implementation of the Spalart–Allmaras turbulence model in a multi-domain lattice Boltzmann method for solving turbulent airfoil flows. Computers & Mathematics with Applications, 70(12), pp.3001–3018, (2015), https://doi.org/10.1016/j.camwa.2015.10.006.
