Aerodynamic Optimization of the Cessna 172 Propeller via Computational Fluid Dynamics

Year 2025, Volume: 14 Issue: 4, 2438 - 2455, 31.12.2025

Mehmet Ali Gördebil , Mikail Temirel

https://doi.org/10.17798/bitlisfen.1741940

Abstract

The term “Light Aircraft” refers to aircraft weighing less than 5.5 tons. The term light aircraft refers to aircraft weighing less than 5.5 tons. These aircraft formed the backbone of air forces during both world wars, primarily powered by propellers, and continue to be widely used today for flight training, travel, recreation, and personal use. Cessna, a leading light aircraft manufacturer, introduced the Cessna 172 in 1956—a model that remains in production. However, its limited speed and altitude performance fall short of modern aviation requirements. To address these limitations, a computational fluid dynamics (CFD) study was conducted using Ansys Fluent and CFX to enhance the aircraft’s aerodynamic efficiency and speed. Design modifications were applied to the propeller, with a focus on improving thrust generation. The modified configuration produced a significant improvement: CFD results indicated an approximately 50% increase in thrust, corresponding to a 21% increase in the maximum velocity of the aircraft. This study highlights the potential of CFD tools to optimize classic aircraft designs such as the Cessna 172, providing practical insights for the modernization of light aircraft in both civilian and military applications.

Keywords

Design of propeller , speed of aircraft , Cessna 172 , computational fluid dynamics (CFD)

Supporting Institution

Abdullah Gul University

Thanks

The authors would like to acknowledge Abdullah Gul University for giving them the opportunity to work together.

References

• D. Crane, Dictionary of Aeronautical Terms. New York, NY, USA: Aviation Supplies & Academics, 1997.
• R. Smith, Cessna 172: A Pocket History. Amberley, U.K.: Amberley Publishing Limited, 2010.
• H. Basak and A. Akdemir, “Design optimization of Cessna 172 wing with biomimetic design approach,” International Journal of Production and Technology in Engineering, Jun. 2024. [Online]. Available: https://ijpte.com/index.php/ijpte/article/view/66
• M. T. Sultan, O. J. Lee, J. S. Lee, and C. H. Park, “Three-dimensional digital light-processing bioprinting using silk fibroin-based bio-ink: Recent advancements in biomedical applications,” Biomedicines, vol. 10, no. 12, p. 3224, Dec. 2022, doi: 10.3390/biomedicines10123224.
• Y. A. Çengel and J. M. Cimbala, Fluid Mechanics: Fundamentals and Applications (SI Units). New York, NY, USA: McGraw-Hill, 2013.
• Z. Tang, P. Liu, Y. Chen, and H. Guo, “Experimental study of counter-rotating propellers for high-altitude airships,” Journal of Propulsion and Power, vol. 31, no. 5, pp. 1491–1496, 2015, doi: 10.2514/1.B35746.
• Z. Ning and H. Hu, “An experimental study on the aerodynamic and aeroacoustic performances of a bio-inspired UAV propeller,” in Proc. 35th AIAA Applied Aerodynamics Conf., 2017.
• J. Brandt and M. S. Selig, “Propeller performance data at low Reynolds numbers,” in Proc. AIAA Aerospace Sciences Meeting, 2011, p. 1255.
• R. W. Deters, G. K. Ananda Krishnan, and M. S. Selig, “Reynolds number effects on the performance of small-scale propellers,” in Proc. 32nd AIAA Applied Aerodynamics Conf., 2014.
• G. Sinibaldi and L. Marino, “Experimental analysis on the noise of propellers for small UAV,” Applied Acoustics, vol. 74, no. 1, pp. 79–88, 2013, doi: 10.1016/j.apacoust.2012.06.011.
• S. Yilmaz, D. Erdem, and M. S. Kavsaoglu, “Performance of a ducted propeller designed for UAV applications at zero angle of attack flight: An experimental study,” Aerospace Science and Technology, vol. 45, pp. 376–386, 2015, doi: 10.1016/j.ast.2015.06.005.
• E. I. Basri, A. A. Basri, V. N. Riazuddin, S. F. Shahwir, Z. Mohammad, and K. A. Ahmad, “Computational fluid dynamics study in biomedical applications: A review,” International Journal of Fluids and Heat Transfer, vol. 1, no. 2, pp. 2–14, 2016.
• P. R. Spalart and V. Venkatakrishnan, “On the role and challenges of CFD in the aerospace industry,” The Aeronautical Journal, vol. 120, no. 1223, pp. 209–232, 2016.
• R. Hajili and M. Temirel, “Computational fluid dynamics (CFD) analysis of 3D printer nozzle designs,” Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 13, no. 4, pp. 1233–1246, 2024.
• A. Rizzi and J. M. Luckring, “Historical development and use of CFD for separated flow simulations relevant to military aircraft,” Aerospace Science and Technology, vol. 117, p. 106940, 2021, doi: 10.1016/j.ast.2021.106940.
• O. J. Boelens, “CFD analysis of the flow around the X-31 aircraft at high angle of attack,” Aerospace Science and Technology, vol. 20, no. 1, pp. 38–51, 2012.
• M. N. U. Fareez, A. A. S. Naqvi, M. Mahmud, and M. Temirel, “Computational fluid dynamics (CFD) analysis of bioprinting,” Advanced Healthcare Materials, 2024, doi: 10.1002/adhm.202400643.
• M. Temirel, B. Yenilmez, S. Knowlton, J. Walker, A. Joshi, and S. Tasoglu, “Three-dimensional-printed carnivorous plant with snap trap,” 3D Printing and Additive Manufacturing, vol. 3, no. 4, pp. 244–251, 2016, doi: 10.1089/3dp.2016.0036.
• H. Kutty and P. Rajendran, “3D CFD simulation and experimental validation of small APC slow flyer propeller blade,” Aerospace, vol. 4, no. 1, p. 10, 2017, doi: 10.3390/aerospace4010010.
• P. D. Bravo-Mosquera, H. D. Cerón-Muñoz, G. Díaz-Vázquez, and F. Martini Catalano, “Conceptual design and CFD analysis of a new prototype of agricultural aircraft,” Aerospace Science and Technology, vol. 80, pp. 156–176, 2018, doi: 10.1016/j.ast.2018.07.014.
• F. A. Maulana, E. Amalia, and M. A. Moelyadi, “Computational fluid dynamics (CFD)-based propeller design improvement for high altitude long endurance UAV,” International Journal of Intelligent Unmanned Systems, vol. 11, no. 3, pp. 425–438, 2023.
• K.-W. Kim, K.-J. Paik, J.-H. Lee, S.-S. Song, M. Atlar, and Y. K. Demirel, “Efficient numerical analysis for prediction of full-scale propeller performance using CFD,” Ocean Engineering, vol. 240, p. 109931, 2021, doi: 10.1016/j.oceaneng.2021.109931.
• R. Broglia, D. Durante, and A. Di Mascio, “Simulation of turning circle by CFD: Analysis of different propeller models and their effect on manoeuvring prediction,” Applied Ocean Research, vol. 39, pp. 1–13, 2013.
• S. Li, C. Liu, X. Chu, M. Zheng, Z. Wang, and J. Kan, “Ship maneuverability modeling and numerical prediction using CFD with body force propeller,” Ocean Engineering, vol. 264, p. 112454, 2022, doi: 10.1016/j.oceaneng.2022.112454.
• C.-W. Kim, Scale Modeling of Cessna 172. San Luis Obispo, CA, USA: California Polytechnic State University, 2011. [Online]. Available: https://digitalcommons.calpoly.edu/aerosp/36
• Y. A. Çengel, Thermodynamics: An Engineering Approach. New York, NY, USA: McGraw-Hill, 2011.
• W. Zhang, W. Cheng, W. Gao, A. Qamar, and R. Samtaney, “Geometrical effects on airfoil flow separation and transition,” Computers & Fluids, vol. 116, pp. 60–73, 2015, doi: 10.1016/j.compfluid.2015.04.014.
• M. D. Patterson and N. K. Borer, “Approach considerations in aircraft with high-lift propeller systems,” in Proc. AIAA Aviation Forum, 2017.
• Moha, “Drag force and drag coefficient – aircraft performance,” 2025.
• R. Gill and R. D’Andrea, “Propeller thrust and drag in forward flight,” in Proc. IEEE Conf. Control Technology and Applications (CCTA), 2017, pp. 73–79, doi: 10.1109/CCTA.2017.8062443.
• K. Biber, “Estimating propeller slipstream drag on airplane performance,” Journal of Aircraft, vol. 48, no. 6, pp. 2172–2174, 2011.
• A. Filippone, Advanced Aircraft Flight Performance. Cambridge, U.K.: Cambridge University Press, 2012.