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Mesh suitability for CFD simulations performed on axial compressor airfoil cascades

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the presented paper, two different meshing strategies are compared to show the accuracy advantage of properly constructed mesh. For this purpose, it was necessary to automatize simulation process, in order to perform a number of calculations without the necessity of user interaction. Later, a method of results extrapolation as well as a way of judging mesh quality are introduced for more throughout comparison of presented discretization strategies. The latter method, called grid convergence index, is also used to calculate probability range of accurate result. To conclude, outcomes of this study are in agreement with general opinon on pracitces for an accurate CFD result. Structured O-type mesh with refinement at wall boundaries (often referred to as “inflation layers”) performs better than simple free mesh.
Rocznik
Strony
art. no. e148873
Opis fizyczny
Bibliogr 22 poz., rys., tab.
Twórcy
autor
  • Center of Aviation and Space Research, Faculty of Mechanical Engineering, Czech Technical University in Prague, Jugoslávských partyzánů1580/3, 16000, Prague 6, Czech Republic
  • Center of Aviation and Space Research, Faculty of Mechanical Engineering, Czech Technical University in Prague, Jugoslávských partyzánů1580/3, 16000, Prague 6, Czech Republic
  • Center of Aviation and Space Research, Faculty of Mechanical Engineering, Czech Technical University in Prague, Jugoslávských partyzánů1580/3, 16000, Prague 6, Czech Republic
Bibliografia
  • [1] S. Farokhi, Aircraft Propulsion. United Kingdom: John Wiley & Sons, 2014.
  • [2] W. Steinert, B. Eisenberg, and H. Starken, “Design and testing of a controlled diffusion airfoil cascade for industrial axial flow compressor application,” in Proceedings of the ASME 1990 International Gas Turbine and Aeroengine Congress and Exposition., ser. Turbo Expo: Power for Land, Sea, and Air, vol. 1: Turbomachinery, Brussels, Belgium, 1990, p V001T01A044, doi: 10.1115/1.2929119.
  • [3] P. Zachos, N. Grech, B. Charnley, V. Pachidis, and R. Singh, “Experimental and numerical investigation of a compressor cascade at highly negative incidence,” Eng. Appl. Comp. Fluid Mech., vol. 5, no. 1, pp. 26–26, 2011, doi: 10.1080/19942060.2011.11015350.
  • [4] P. Roache, Verification and Validation in Computational Science and Engineering. Albuquerque, New Mexico: Hermosa Publishers, 1998.
  • [5] V. Carrillo, J. Petrie, and E. Pacheco, “Application of the grid convergence index to a laminar axisymmetric sudden expansion flow,” Mascana, vol. 5, pp. 115–123, 2016.
  • [6] I. Celik and O. Karatekin, “Numerical experiments on application of richardson extrapolation with nonuniform grids,” ASME J. Fluids Eng., vol. 119, no. 3, pp. 584–590, 1997, doi: 10.1115/1.2819284.
  • [7] A. Meana-Fernández, J. Oro, K. Argüelles Díaz, M. Galdo-Vega, and S. Velarde-Suárez, “Application of richardson extrapolation method to the cfd simulation of vertical-axis wind turbines and analysis of the flow field,” Eng. Appl. Comp. Fluid Mech., vol. 13, no. 1, pp. 359–376, 2019, doi: 10.1080/19942060.2019.1596160.
  • [8] L. Kwaśniewski, “Application of grid convergence index in FE computation,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 61, no. 1, pp. 123–128, 2013, doi: 10.2478/bpasts-2013-0010.
  • [9] S. Hirsch, Numerical computation of internal and external flows. Amsterdam: Elsevier, 2007.
  • [10] M. Landahl and E. Mollo-Christensen, Turbulence and Random Processes in Fluid Mechanics. Cambridge: Cambridge University Press, 1992.
  • [11] T. Gatski and J.-P. Bonnet, Compressibility, Turbulence and High Speed Flow. Amsterdam: Elsevier, 2009.
  • [12] D. Wilcox, Turbulence Modeling for CFD. Canada, CA: DCW Industries, 2006.
  • [13] R. Langtry and F. Menter, “Correlation-based transition modeling for unstructured parallelized computational fluid dynamics codes,” AIAA J., vol. 47, no. 12, pp. 2894–2906, 2009, doi: 10.2514/1.42362.
  • [14] F. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications,” AIAA J., vol. 32, no. 8, pp. 1598–1605, 1994, doi: 10.2514/3.12149.
  • [15] J. Holman and J. Fürst, “Numerical simulation of separation induced laminar to turbulent transition over an airfoil,” J. Comput. Appl. Math., vol. 394, p. 113530, 2021, doi: 10.1016/j.cam.2021.113530.
  • [16] J. Blazek, Computational Fluid Dynamics: Principles and Applications. Amsterdam: Elsevier, 2015.
  • [17] S. Acharya, B. Baliga, K. Karki, J. Murthy, C. Prakash, and S. Vanka, “Pressure-based finite-volume methods in computational fluid dynamics,” ASME. J. Heat Transf., vol. 129, no. 4, pp. 407–424, 2007, doi: 10.1115/1.2716419.
  • [18] M. Darwish and F. Moukalled, “A fully coupled navier-stokes solver for fluid flow at all speeds,” Numer. Heat Tranf. Part B-Fundam., vol. 65, no. 5, pp. 410–444, 2014, doi: 10.1080/10407790.2013.869102.
  • [19] Z. Zlatev and I. Dimov, Richardson Extrapolation. Berlin: De Gruyter, 2018.
  • [20] R. Kumaran, S. Kamble, K. Swamy, Q. Nagpurwala, and A. Bhat, “Effect of axial velocity density ratio on the performance of a controlled diffusion airfoil compressor cascade,” Int. J. Turbo. Jet-Engines, vol. 32, no. 4, pp. 305–317, 2015, doi: 10.1515/tjj-2014-0036.
  • [21] J. Ruzek and P. Kmoch, Theory of Aircraft Engines – Part I: Compressors, Turbines and Combustion Chambers (Teorie Leteckých Motorů – Část I: Kompresory, Turbíny a Spalovací Komory). Brno: Vojenská akademie Antonína Zápotockého, 1979.
  • [22] J. Crouse, D. Janetzke, and R. Schwirian, A Computer Program for Composing Compressor Blading from Simulated Circular- Arc Elements on Conical Surfaces. NASA, 1969.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7b003963-0709-42b7-b0ed-f6c6df12cc4f
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