Prediction of drag coefficient of a hybrid body design of aircraft

Authors

DOI:

https://doi.org/10.20535/2521-1943.2023.7.3.284872

Keywords:

Finite element analysis, ANOVA, Hybrid design aircraft, computer aided design, drag reduction

Abstract

This study presents a design of a quintessential hybrid body aircraft, a blended NACA 4414 airfoil winged body. The Design of Elements approach, via Response Surface Methodology (RSM), is used to evaluate the influence of frontal area, chamber angle and materials on the drag coefficient. The Analysis of Variance (ANOVA) is carried out to find the influences of the same. In order to minimize the simulations, a model in RSM, Central Composite Design (CCD) is used. The results of the same are verified via Computational Fluid Dynamics (CFD) simulations. Moreover, combinations of shape memory polymers with composites and graphene nano powder are proposed, for light-weighting and enhanced mechanical properties. A comparison of said materials with commercially used aluminum alloys is done. It is found that the lowest drag coefficient is achievable at a frontal area of 1625 m2 with an angle of attack of -10o and with a material combination of carbon fiber reinforced polymer, glass fiber reinforced polymer, and 10% graphene nano powder by weight.

References

  1. Committee on Propulsion and Energy Systems to Reduce Commercial Aviation Carbon Emissions. Commercial aircraft propulsion and energy systems research. Washington, D.C. National Academies Press; 2016.
  2. Salas, E. B. Commercial airlines: worldwide fuel consumption 2005–2022, Statista. Statista; www.statista.com. https://www.statista.com/statistics/655057/fuel-consumption-of-airlines-worldwide/, April 12, 2022.
  3. International Air Transport Association. Net zero carbon emissions by 2050. Available at: https://www.iata.org/en/pressroom/pressroom-archive/2021-releases/2021-10-04-03/, 2021.
  4. R.P. Liem, J.R. Martins, and G.K. Kenway, “Expected drag minimization for aerodynamic design optimization based on aircraft operational data”, Aerospace Science and Technology, Vol. 63, pp. 344–362, 2017. https://doi.org/10.1016/j.ast.2017.01.006
  5. L. Zhu, N. Li, and P.R.N. Childs, “Light-weighting in aerospace component and system design”, Propulsion and Power Research, Vol. 7(2), pp. 103–119, 2018. https://doi.org/10.1016/j.jppr.2018.04.001
  6. R.H. Liebeck, “Design of the blended wing body subsonic transport”, Journal of Aircraft, Vol. 41(1), pp. 10–25, 2004. https://doi.org/10.2514/1.9084
  7. Y. Staelens, R. Blackwelder, and M. Page, January. Novel pitch control effectors for a blended wing body airplane in takeoff and landing configuration. In 45th AIAA Aerospace Sciences Meeting and Exhibit (p. 68), 2007. https://doi.org/10.2514/6.2007-68
  8. A.R. Ikram, Numerical Investigation of Leading-Edge Modifications of a NACA Airfoil, 2020, p. 976. https://scholarworks.gvsu.edu/theses/976
  9. Airfoiltools.com. (2019). NACA 4 digit airfoil generator (NACA 2412 AIRFOIL). [online] Available at: http://airfoiltools.com/airfoil/naca4digit [Accessed 3 June. 2022].
  10. V.H. Wilson et al., “A Development of Innovative Shape Memory Polymers and Their Nanocomposites to Resist the Load Aircraft High Lift Devices”, International Journal of Advanced Research in Engineering and Technology, 11(9), pp. 14–35, 2020. https://ssrn.com/abstract=3708660
  11. D. Ratna, and J. Karger-Kocsis, “Recent advances in shape memory polymers and composites: a review”, Journal of Materials Science, 2008, 43(1), pp. 254–269. https://doi.org/10.1007/s10853-007-2176-7
  12. Y. Liu, H. Du, L. Liu, and J. Leng, “Shape memory polymers and their composites in aerospace applications: a review”, Smart materials and structures, Vol. 23, No. 2, p. 023001, 2014. https://doi.org/10.1088/0964-1726/23/2/023001
  13. Y. Yining, “Analysis of the Influence of Camber on Hydrodynamic Characteristics of Airfoil Based on FLUENT”, Jour-nal of Physics: Conference Series, 2020, Vol. 1519, No. 1, 2020. https://doi.org/10.1088/1742-6596/1519/1/012020
  14. N. Couto, et al., “Coupled CFD-response surface method (RSM) methodology for optimizing jettability operating condi-tions”, Chem Engineering, Vol. 2(4), p. 51, 2018. https://doi.org/10.3390/chemengineering2040051
  15. A. Jankovic, G. Chaudhary, and F. Goia, “Designing the design of experiments (DOE)–An investigation on the influence of different factorial designs on the characterization of complex systems”, Energy and Buildings, Vol. 250, p. 111298, 2021. https://doi.org/10.1016/j.enbuild.2021.111298
  16. E. Ostertagová, and O. Ostertag, “Methodology and application of one-way ANOVA”, American Journal of Mechanical Engineering, 1(7), pp. 256–261, 2013. https://doi.org/10.12691/ajme-1-7-21
  17. D.C. Montgomery, and G.C. Runger, Applied statistics and probability for engineers, 1994. https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/088-Applied-Statistics-and-Probability-for-Engineers-Douglas-C.-Montgomery-George-C.-Runger-Edisi-5-2011.pdf
  18. A.E. Ockfen, and K.I. Matveev, “Aerodynamic characteristics of NACA 4412 airfoil section with flap in extreme ground effect”, International Journal of Naval Architecture and Ocean Engineering, Vol. 1(1), pp. 1–12, 2009. https://doi.org/10.3744/JNAOE.2009.1.1.001
  19. J. Sun, J.M. Hoekstra, and J. Ellerbroek, Aircraft drag polar estimation based on a stochastic hierarchical model. Eighth SESAR Innovation Days 2018. https://www.sesarju.eu/sites/default/files/documents/sid/2018/papers/SIDs_2018_paper_75.pdf
  20. Aircraft Design - an Open Educational Resource (OER) for Hamburg Open Online University (HOOU). (2022). Retrieved 3 June 2022, from https://www.fzt.haw-hamburg.de/pers/Scholz/HOOU/AircraftDesign_13_Drag.pdf
  21. Engineering ToolBox, (2019). U.S. Standard Atmosphere. [online] Available at: https://www.engineeringtoolbox.com/standard-atmosphere-d_604.html [Accessed 04-06-2022]
  22. M.A. Saber, M.S. Helal, and A. Mohsen, Aerodynamic Study of Airbus 320 Airplane Model for Hands-on Learning. https://www.academia.edu/39998960/Aerodynamic_Study_of_Airbus_320_Airplane_Model_for_Hands-on_Learning

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Published

2023-12-22

How to Cite

[1]
S. Viswanath, R. Vasan, V. Gopalan, and N. Satonkar, “Prediction of drag coefficient of a hybrid body design of aircraft”, Mech. Adv. Technol., vol. 7, no. 3 (99), pp. 364–373, Dec. 2023.

Issue

Vol. 7 No. 3 (99) (2023)

Section

Aviation Systems and Technologies

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Copyright (c) 2023 Venkatachalam Gopalan

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