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Investigation of aerodynamic characteristics of swept C-wing configurations at transonic speed using design of experiments and computational fluid dynamics

    Heershikesh Heerish Samputh Affiliation
    ; Lip Kean Moey Affiliation
    ; Vin Cent Tai Affiliation
    ; Yong Chai Tan Affiliation

Abstract

Authors investigated the aerodynamic characteristics of backward swept (BSCW) and forward swept (FSCW) C-wing configurations at transonic speed using Design of Experiments (DoE) and Computational Fluid Dynamics (CFD), aiming to enhance aircraft performance. Five geometric parameters for C-winglet design were identified from the literature. A quarter fractional factorial approach for the DoE was employed to analyse the effect of these parameters on aerodynamic characteristics at a constant Mach number and angle of attack of 0.8395 and 3.06°, respectively. Numerical results confirm the accuracy of the regression model in predicting aerodynamic coefficients, while normal plot highlight influential geometric parameters. Retrofitting C-winglets at the wingtips increases the aerodynamic performance by approximately 9.38% and 9.74% for BSCW and FSCW configurations respectively, compared to wings without C-winglets. The study demonstrates that utilizing a large cant angle and sweep angle of 60°, along with a low taper ratio of 0.562 for both the vertical and horizontal winglets, as well as a low cant angle of 90° for the horizontal winglet, reduces shockwave interactions on the C-winglet surface, consequently leading to a reduction in drag. It was concluded that the geometric parameters of the C-winglet play an integral role in designing new aircraft aimed at reducing drag.

Keyword : C-wing configurations, transonic speed, design of experiments, computational fluid dynamics, aerodynamic characteristics, geometric parameters

How to Cite
Samputh, H. H., Moey, L. K., Tai, V. C., & Tan, Y. C. (2024). Investigation of aerodynamic characteristics of swept C-wing configurations at transonic speed using design of experiments and computational fluid dynamics. Aviation, 28(2), 72–84. https://doi.org/10.3846/aviation.2024.21495
Published in Issue
Jun 27, 2024
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References

Antony, J. (2023). Design of experiments for engineers and scientists. Elsevier.

Balan, A., Park, M. A., Anderson, W. K., Kamenetskiy, D. S., Krakos, J. A., Michal, T., & Alauzet, F. (2020). Verification of anisotropic mesh adaptation for turbulent simulations over ONERA M6 wing. AIAA Journal, 58(4), 1550–1565. https://doi.org/10.2514/1.J059158

Bikkannavar, K., & Scholz, D. (2016). Investigation and design of a C-Wing passenger aircraft. INCAS Bulletin, 8(2), Article 2. https://doi.org/10.13111/2066-8201.2016.8.2.3

Coelho Barbosa, F. (2023). Aircraft aerodynamic technology review – A tool for aviation performance and sustainability improvement (SAE Technical Paper 2022-36-0022). SAE International. https://doi.org/10.4271/2022-36-0022

Das, A. K., & Dewanjee, S. (2018). Optimization of extraction using mathematical models and computation. In Computational phytochemistry (pp. 75–106). Elsevier. https://doi.org/10.1016/B978-0-12-812364-5.00003-1

Gagnon, H., & Zingg, D. W. (2016). Aerodynamic optimization trade study of a box-wing aircraft configuration. Journal of Aircraft, 53(4), Article 4. https://doi.org/10.2514/1.C033592

Gobpinaath, M., Sivajiraja, K., Suresh, C., & Ramesh, K. (2016). Design and analysis of non-planar wing in commercial aircraft. International Journal of Innovations in Engineering and Technology, 7(3), Article 3.

Grimme, W., Maertens, S., & Bingemer, S. (2021). The role of very large passenger aircraft in global air transport – a review and outlook to the year 2050. Transportation Research Procedia, 59(4), 76–84. https://doi.org/10.1016/j.trpro.2021.11.099

Guerrero, J. E., Sanguineti, M., & Wittkowski, K. (2020). Variable cant angle winglets for improvement of aircraft flight performance. Meccanica, 55, 1917–1947. https://doi.org/10.1007/s11012-020-01230-1

Guerrero, J., Sanguineti, M., & Wittkowski, K. (2018). CFD study of the impact of variable cant angle winglets on total drag reduction. Aerospace, 5(4), Article 126. https://doi.org/10.3390/aerospace5040126

Hrúz, M., Pecho, P., Bugaj, M., & Rostáš, J. (2022). Investigation of vortex structure behavior induced by different drag reduction devices in the near field. Transportation Research Procedia, 65, 318–328. https://doi.org/10.1016/j.trpro.2022.11.036

International Air Transport Association. (2023). Global outlook for air transport: Highly resilient, less robust. IATA.

Jemitola, P., & Okonkwo, P. (2023). An analysis of aerodynamic design issues of box-wing aircraft. Journal of Aviation Technology and Engineering, 12(2), 15–24. https://doi.org/10.7771/2159-6670.1253

Kazim, A. H., Malik, A. H., Ali, H., Raza, M. U., Khan, A. A., Aized, T., & Shabbir, A. (2022). CFD analysis of variable geometric angle winglets. Aircraft Engineering and Aerospace Technology, 94(2), 289–301. https://doi.org/10.1108/AEAT-10-2020-0241

Kehayas, N. (2021). An alternative approach to induced drag reduction. Aviation, 25(3), 202–210. https://doi.org/10.3846/aviation.2021.15663

Krishnan, S. G., Ishak, M. H., Nasirudin, M. A., & Ismail, F. (2020). Investigation of aerodynamic characteristics of a wing model with RGV winglet. Journal of Aerospace Technology and Management, 12. https://doi.org/10.5028/jatm.v12.1108

Kroo, I. (2005). Nonplanar wing concepts for increased aircraft efficiency. VKI Lecture Series on Innovative Configurations and Advanced Concepts for Future Civil Aircraft. https://lf5422.com/wp-content/uploads/2014/08/vki_nonplanar_kroo-1.pdf

Le Quéré, C., Jackson, R. B., Jones, M. W., Smith, A. J., Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y., & Canadell, J. G. (2020). Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement. Nature Climate Change, 10(7), 647–653. https://doi.org/10.1038/s41558-020-0797-x

Li, M.-F., Tang, X.-P., Wu, W., & Liu, H.-B. (2013). General models for estimating daily global solar radiation for different solar radiation zones in mainland China. Energy Conversion and Management, 70, 139–148. https://doi.org/10.1016/j.enconman.2013.03.004

Rumsey, C. L., & Vatsa, V. N. (1995). Comparison of the predictive capabilities of several turbulence models. Journal of Aircraft, 32(3), Article 3. https://doi.org/10.2514/3.46749

Schmitt, V. (1979). Pressure distributions on the ONERA M6-wing at transonic mach numbers, experimental data base for computer program assessment (AGARD AR-138). Advisory Group for Aerospace Research and Development.

Suresh, C., Ramesh, K., & Paramaguru, V. (2015). Aerodynamic performance analysis of a non-planar C-wing using CFD. Aerospace Science and Technology, 40, 56–61. https://doi.org/10.1016/j.ast.2014.10.014

Sutthison, D., Wongkamchang, P., & Sukuprakarn, N. (2022). Aerodynamic Studies of Small Box-Wing Unmanned Aerial Vehicle Using CFD. Journal of Physics: Conference Series, 2235(1), Article 012070. https://doi.org/10.1088/1742-6596/2235/1/012070

Whitcomb, R. T. (1976). A design approach and selected wind tunnel results at high subsonic speeds for wing-tip mounted winglets. NTRS – NASA Technical Reports Server.

Yahyaoui, M. (2019). A Comparative aerodynamic study of nonplanar wings. International Journal of Aviation, Aeronautics, and Aerospace, 6(4), Article 10. https://doi.org/10.15394/ijaaa.2019.1383

Zhou, Q., Shao, X., Jiang, P., Gao, Z., Wang, C., & Shu, L. (2016). An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models. Advanced Engineering Informatics, 30(3), 283–297. https://doi.org/10.1016/j.aei.2016.04.004