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Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet

Yıl 2020, Cilt: 10 Sayı: 1, 364 - 377, 25.06.2020

Haci Sogukpinar Serkan Cag Bülent Yanıktepe

https://doi.org/10.37094/adyujsci.725785

Öz

    In this paper, a low-speed aerodynamic flow structure of the original F35 aircraft model was investigated in a closed-circuit water tunnel experiment, and the investigation was also conducted numerically by using a computational fluid dynamic (CFD) approach. Both studies were performed for the model with a chord length of c =168 mm and wing sweepback angle of Λ = 21.59°, thickness 5 mm and beveled leading edges with an angle of 45°, and for the Reynolds numbers 10.000 at the angle of attack from 5° to 25° with the airflow speed of 0.6 cm/s. For the experimental part, dye visualization and Particle Image Velocimetry (PIV) experiments were performed, and for the numerical part, SST turbulence model was used to solve the flow field around model aircraft and obtained data were compared with experiment. Detail about the flow field including, the development of leading-edge vortex and formation of vortex breakdown and interactions were discussed and presented. Leading-edge vortices were partially developed at the angle of 5°, vortex breakdown pronounced at the angle of 10°, as the increasing angle of attack, location of vortex breakdown moved further up to the front side. At 25°, there was no complete stall condition, and the location of the vortex breakdown stayed on the wing surface.

Anahtar Kelimeler

F35 fighter jet LEV vortex breakdown vorticity Stereo PIV PIV Dye visualization

Destekleyen Kurum

Adiyaman University

Proje Numarası

TEBMYOMAP/2018-0001

Teşekkür

The authors wish to thank Osmaniye Korkutata University and Middle East Technical University providing technical support

Kaynakça

  • [1] Waldmann, A., Unsteady wake flow analysis of an aircraft under low-speed stall conditions using DES and PIV, In 53rd AIAA Aerospace Sciences Meeting, 1096, 2015.
  • [2] Yokokawa, Y., Murayama, M., Ito, T., Yamamoto, K., Experiment and CFD of a high-lift configuration civil transport aircraft model, In 25th AIAA aerodynamic measurement technology and ground testing conference, 3452, 2006.
  • [3] Johnson, F.T., Tinoco, E.N., Yu, N.J., Thirty years of development and application of CFD at Boeing Commercial Airplanes, Seattle, Computers & Fluids, 34(10), 1115-1151, 2005.
  • [4] Sogukpinar, H., Numerical investigation of influence of diverse winglet configuration on induced drag, Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 44, 1-13, 2019.
  • [5] Gursul, I., Gordnier, R., Visbal, M., Unsteady aerodynamics of nonslender delta wings, Progress in Aerospace Sciences, 41(7), 515-557, 2005.
  • [6] Canpolat, C., Yayla, S., Sahin, B., Akilli, H., Dye visualization of the flow structure over a yawed nonslender delta wing, Journal of Aircraft, 46(5), 1818-1822, 2009.
  • [7] Muir, R.E., Arredondo-Galeana, A., Viola, I.M., The leading-edge vortex of swift wing-shaped delta wings, Royal Society Open Science, 4(8), 170077, 2017.
  • [8] Jardin, T., David, L., Spanwise gradients in flow speed help stabilize leading-edge vortices on revolving wings, Physical Review E, 90(1), 013011, 2014.
  • [9] Yaniktepe, B., Rockwell, D., Flow structure on diamond and lambda planforms: Trailing-edge region, AIAA journal, 43(7), 1490-1500, 2005.
  • [10] Yaniktepe, B., Ozalp, C., Canpolat, C., Aerodynamics and flow characteristics of X-45 delta wing planform, Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 19(1), 1-10, 2016.
  • [11] Canpolat, C., Yayla S., Sahin, B., Akilli, H., Observation of the Vortical Flow over a Yawed Delta Wing, Journal of Aerospace Engineering, 25, 613-626, 2012.
  • [12] Watanabe, S., Kato, H., Stereo PIV applications to large-scale low-speed wind tunnels, In 41st Aerospace Sciences Meeting and Exhibit, 919, 2003.
  • [13] Watanabe, S., Mungal, M.G., Velocity field measurements of mixing-enhanced compressible shear layers, AIAA, 99-0088, 1999.
  • [14] Humphreys, W.M., A survey of particle image velocimetry applications in Langley Aerospace Facilities, AIAA Paper, 93-0411, 1993.
  • [15] Wiegand, C., F-35 Air vehicle technology overview, 2018 Aviation Technology, Integration, and Operations Conference, 1-28, 2018.
  • [16] Raffel, M., Willert, C.E., Wereley, S.T., Kompenhans, J., Particle image velocimetry: A practical guide, 2nd ed., Springer, 2007.
  • [17] Arroyo, M.P., Greated, C.A., Stereoscopic particle image velocimetry, Measurement Science & Technology, 2(12), 1181-1186, 1991.
  • [18] Westerweel, J., Digital particle image velocimetry, Theory and Application, Delft University Press, 1993.
  • [19] Adrian, R.J., Twenty years of particle image velocimetry, Experimental Fluids, 39, 159–169, 2005.
  • [20] Raffel, M., Willert, C.E., Wereley, S.T., Kompenhans, J., Particle image velocimetry: A practical guide, 2nd ed., Springer, 2007.
  • [21] Menter, F.R., Two-equation Eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32(8), 1598-1605, 1994.
  • [22] Menter, F.R., Kuntz, M., Langtry, R., Ten years of ındustrial experience with the SST turbulence model, Turbulence Heat and Mass Transfer, 4, 625-632, 2003.
  • [23] COMSOL CFD Module user guide, http://www.comsol.com (Accessed on April 8, 2019).
  • [24] Fontes, E., Using the algebraic multigrid (AMG) method for large CFD simulations, https://www.comsol.com (Accessed on April 8, 2019).
  • [25] Sogukpinar, H., Effect of hairy surface on heat production and thermal insulation on the building, Environmental Progress & Sustainable Energy, e13435, 1-8, 2020.
  • [26] Cummings, R.M., Scott, A.M., and Stefan, G.S., Numerical prediction and wind tunnel experiment for a pitching unmanned combat air vehicle, Aerospace Science and Technology, 12(5), 355-364, 2008.
  • [27] Sogukpinar, H., Low speed numerical aerodynamic analysis of new designed 3D transport aircraft, International Journal of Engineering Technologies, 4(4), 153-160, 2019.
  • [28] Sogukpinar, H., Numerical calculation of wind tip vortex formation for different wingtip devices, INCAS Bulletin, 10(3), 167-176, 2018.

Yıl 2020, Cilt: 10 Sayı: 1, 364 - 377, 25.06.2020

Haci Sogukpinar Serkan Cag Bülent Yanıktepe

https://doi.org/10.37094/adyujsci.725785

Öz

Proje Numarası

TEBMYOMAP/2018-0001

Kaynakça

  • [1] Waldmann, A., Unsteady wake flow analysis of an aircraft under low-speed stall conditions using DES and PIV, In 53rd AIAA Aerospace Sciences Meeting, 1096, 2015.
  • [2] Yokokawa, Y., Murayama, M., Ito, T., Yamamoto, K., Experiment and CFD of a high-lift configuration civil transport aircraft model, In 25th AIAA aerodynamic measurement technology and ground testing conference, 3452, 2006.
  • [3] Johnson, F.T., Tinoco, E.N., Yu, N.J., Thirty years of development and application of CFD at Boeing Commercial Airplanes, Seattle, Computers & Fluids, 34(10), 1115-1151, 2005.
  • [4] Sogukpinar, H., Numerical investigation of influence of diverse winglet configuration on induced drag, Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 44, 1-13, 2019.
  • [5] Gursul, I., Gordnier, R., Visbal, M., Unsteady aerodynamics of nonslender delta wings, Progress in Aerospace Sciences, 41(7), 515-557, 2005.
  • [6] Canpolat, C., Yayla, S., Sahin, B., Akilli, H., Dye visualization of the flow structure over a yawed nonslender delta wing, Journal of Aircraft, 46(5), 1818-1822, 2009.
  • [7] Muir, R.E., Arredondo-Galeana, A., Viola, I.M., The leading-edge vortex of swift wing-shaped delta wings, Royal Society Open Science, 4(8), 170077, 2017.
  • [8] Jardin, T., David, L., Spanwise gradients in flow speed help stabilize leading-edge vortices on revolving wings, Physical Review E, 90(1), 013011, 2014.
  • [9] Yaniktepe, B., Rockwell, D., Flow structure on diamond and lambda planforms: Trailing-edge region, AIAA journal, 43(7), 1490-1500, 2005.
  • [10] Yaniktepe, B., Ozalp, C., Canpolat, C., Aerodynamics and flow characteristics of X-45 delta wing planform, Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 19(1), 1-10, 2016.
  • [11] Canpolat, C., Yayla S., Sahin, B., Akilli, H., Observation of the Vortical Flow over a Yawed Delta Wing, Journal of Aerospace Engineering, 25, 613-626, 2012.
  • [12] Watanabe, S., Kato, H., Stereo PIV applications to large-scale low-speed wind tunnels, In 41st Aerospace Sciences Meeting and Exhibit, 919, 2003.
  • [13] Watanabe, S., Mungal, M.G., Velocity field measurements of mixing-enhanced compressible shear layers, AIAA, 99-0088, 1999.
  • [14] Humphreys, W.M., A survey of particle image velocimetry applications in Langley Aerospace Facilities, AIAA Paper, 93-0411, 1993.
  • [15] Wiegand, C., F-35 Air vehicle technology overview, 2018 Aviation Technology, Integration, and Operations Conference, 1-28, 2018.
  • [16] Raffel, M., Willert, C.E., Wereley, S.T., Kompenhans, J., Particle image velocimetry: A practical guide, 2nd ed., Springer, 2007.
  • [17] Arroyo, M.P., Greated, C.A., Stereoscopic particle image velocimetry, Measurement Science & Technology, 2(12), 1181-1186, 1991.
  • [18] Westerweel, J., Digital particle image velocimetry, Theory and Application, Delft University Press, 1993.
  • [19] Adrian, R.J., Twenty years of particle image velocimetry, Experimental Fluids, 39, 159–169, 2005.
  • [20] Raffel, M., Willert, C.E., Wereley, S.T., Kompenhans, J., Particle image velocimetry: A practical guide, 2nd ed., Springer, 2007.
  • [21] Menter, F.R., Two-equation Eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32(8), 1598-1605, 1994.
  • [22] Menter, F.R., Kuntz, M., Langtry, R., Ten years of ındustrial experience with the SST turbulence model, Turbulence Heat and Mass Transfer, 4, 625-632, 2003.
  • [23] COMSOL CFD Module user guide, http://www.comsol.com (Accessed on April 8, 2019).
  • [24] Fontes, E., Using the algebraic multigrid (AMG) method for large CFD simulations, https://www.comsol.com (Accessed on April 8, 2019).
  • [25] Sogukpinar, H., Effect of hairy surface on heat production and thermal insulation on the building, Environmental Progress & Sustainable Energy, e13435, 1-8, 2020.
  • [26] Cummings, R.M., Scott, A.M., and Stefan, G.S., Numerical prediction and wind tunnel experiment for a pitching unmanned combat air vehicle, Aerospace Science and Technology, 12(5), 355-364, 2008.
  • [27] Sogukpinar, H., Low speed numerical aerodynamic analysis of new designed 3D transport aircraft, International Journal of Engineering Technologies, 4(4), 153-160, 2019.
  • [28] Sogukpinar, H., Numerical calculation of wind tip vortex formation for different wingtip devices, INCAS Bulletin, 10(3), 167-176, 2018.
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Plazma Fiziği; Füzyon Plazmaları; Elektrik Deşarjları
Bölüm Fizik
Yazarlar

Haci Sogukpinar 0000-0002-9467-2005

Serkan Cag Bu kişi benim 0000-0003-1088-448X

Bülent Yanıktepe 0000-0001-8958-4687

Proje Numarası TEBMYOMAP/2018-0001
Yayımlanma Tarihi 25 Haziran 2020
Gönderilme Tarihi 23 Nisan 2020
Kabul Tarihi 22 Mayıs 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 10 Sayı: 1

Kaynak Göster

APA Sogukpinar, H., Cag, S., & Yanıktepe, B. (2020). Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet. Adıyaman University Journal of Science, 10(1), 364-377. https://doi.org/10.37094/adyujsci.725785
AMA Sogukpinar H, Cag S, Yanıktepe B. Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet. ADYU J SCI. Haziran 2020;10(1):364-377. doi:10.37094/adyujsci.725785
Chicago Sogukpinar, Haci, Serkan Cag, ve Bülent Yanıktepe. “Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet”. Adıyaman University Journal of Science 10, sy. 1 (Haziran 2020): 364-77. https://doi.org/10.37094/adyujsci.725785.
EndNote Sogukpinar H, Cag S, Yanıktepe B (01 Haziran 2020) Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet. Adıyaman University Journal of Science 10 1 364–377.
IEEE H. Sogukpinar, S. Cag, ve B. Yanıktepe, “Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet”, ADYU J SCI, c. 10, sy. 1, ss. 364–377, 2020, doi: 10.37094/adyujsci.725785.
ISNAD Sogukpinar, Haci vd. “Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet”. Adıyaman University Journal of Science 10/1 (Haziran 2020), 364-377. https://doi.org/10.37094/adyujsci.725785.
JAMA Sogukpinar H, Cag S, Yanıktepe B. Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet. ADYU J SCI. 2020;10:364–377.
MLA Sogukpinar, Haci vd. “Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet”. Adıyaman University Journal of Science, c. 10, sy. 1, 2020, ss. 364-77, doi:10.37094/adyujsci.725785.
Vancouver Sogukpinar H, Cag S, Yanıktepe B. Numerical Investigation and Water Tunnel Experiment for F35 Fighter Jet. ADYU J SCI. 2020;10(1):364-77.
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