Skip to main content
Log in

Three-dimensional building-cube method for inviscid compressible flow computations

  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

In this study, the Building-Cube method (BCM) devised for calculating large-scale flows and getting rid of the grid dependencies of computational results is extended to perform 3D inviscid compressible fluid flow simulations. The proposed scheme divides a computational domain into a large number of cubes with different sizes, and each individual cube is a sub-flow field simulated with a Cartesian grid of uniform spacing and an equal number of cells and nodes. Through the proposed scheme, we determine the geometric size of individual cube by Adapting the flow characteristics and geometrical shapes using an adaptively refining Cartesian grid approaches. The uniform spacing and equal number of cells and nodes in the Cartesian grid of individual cubes ensure a good performance for parallel computations; large result data can be handled efficiently. Further, an algorithm to solve the inviscid flow equations on the Building-Cube mesh for three-dimensional (3D) geometries is presented. The validation and performance of the proposed 3D BCM are demonstrated through comparisons of the computed results with the experimental data for the ONERA M6 wing and ONERA M5 wing-fuselage configurations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

ρ :

density

e :

total energy

u, v, w :

velocity components in x, y, z directions

Q :

vector of conservative variables

E, F, G :

inviscid flux vectors in x, y, z directions

V t :

tangential velocity at the wall boundary

V :

averaged velocity from fluid nodes

\(\vec n\) :

normal vector computed from triangle

H 0 :

total enthalpy

γ :

rate of specific heat

References

  1. Luo, H., Baum, J. D., and Löhner, R., “A Hybrid Cartesian Grid and Gridless Method for Compressible Flows,” Journal of Computational Physics, Vol. 214, No. 2, pp. 618–632, 2006.

    Article  MathSciNet  MATH  Google Scholar 

  2. Nemec, M., Aftosmis, M. J., and Pulliam, T. H., “CAD-based Aerodynamic Design of Complex Configurations using a Cartesian Method,” NAS Technical Report NAS-04-001, 2004.

    Book  Google Scholar 

  3. Dadone, A. and Grossman, B., “Further Developments in the Three- Dimensional Cartesian-Grid Ghost-Cell Method,” Proc. of 44th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper 2006–1085, 2006.

    Google Scholar 

  4. Dadone, A. and Grossman, B., “Rapid Aerodynamic Optimization using Far-Field Coarsened Cartesian Grids,” Proc. of 10th AIAA/ ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA 2004–4477, 2004.

    Google Scholar 

  5. Kang, T.-J. and Park, W.-G., “Numerical Investigation of Active Control for an S809 Wind Turbine Airfoil,” Int. J. Precis. Eng. Manuf., Vol. 14, No. 6, pp. 1037–1041, 2013.

    Article  Google Scholar 

  6. Stone, C. P., Duque, E. P., Zhang, Y., Car, D., Owens, J. D., and Davis, R. L., “GPGPU Parallel Algorithms for Structured-Grid CFD Codes,” Proc. of the 20th AIAA Computational Fluid Dynamics Conference, AIAA 2011–3221, 2011.

    Google Scholar 

  7. Thornburg, H., Soni, B. K., and Kishore, B., “A Structured Grid based Solution-Adaptive Technique for Complex Separated Flows,” Applied Mathematics and Computation, Vol. 89, No. 1, pp. 259–273, 1998.

    Article  MathSciNet  MATH  Google Scholar 

  8. Durbin, P. A. and Iaccarino, G., “An Approach to Local Refinement of Structured Grids,” Journal of Computational Physics, Vol. 181, No. 2, pp. 639–653, 2002.

    Article  MATH  Google Scholar 

  9. Deng, X., Mao, M., Tu, G., Zhang, H., and Zhang, Y., “High-Order and High Accurate CFD Methods and their Applications for Complex Grid Problems,” Communications in Computational Physics, Vol. 11, No. 4, pp. 1081–1102, 2012.

    MathSciNet  Google Scholar 

  10. Visbal, M. R. and Gaitonde, D. V., “High-Order-Accurate Methods for Complex Unsteady Subsonic Flows,” AIAA Journal, Vol. 37, No. 10, pp. 1231–1239, 1999.

    Article  Google Scholar 

  11. Gaitonde, D. V. and Visbal, M. R., “Pade-Type Higher-Order Boundary Filters for the Navier-Stokes Equations,” AIAA Journal, Vol. 38, No. 11, pp. 2103–2112, 2000.

    Article  Google Scholar 

  12. Yin, J. and Delfs, J., “Sound Generation from Gust-Airfoil Interaction using CAA-Chimera Method,” Proc. of 2nd AIAA/CEAS Aeroacoustics Conference and Exhibit, AIAA 2001–2136, 2001.

    Google Scholar 

  13. Sherer, S. E., Gordnier, R. E., and Visbal, M. R., “Computational Study of a UCAV Configuration using a High-Order Overset-Grid Algorithm,” Proc. of 46th AIAA Aerospace Sciences Meeting and Exhibit, AIAA 2008–626, 2008.

    Google Scholar 

  14. Nakahashi, K., Ito, Y., and Togashi, F., “Some Challenges of Realistic Flow Simulations by Unstructured Grid CFD,” International Journal for Numerical Methods in Fluids, Vol. 43, No. 67, pp. 769–783, 2003.

    Article  MATH  Google Scholar 

  15. Jang, J.-S., Cho, J.-W., Jeong, M.-S., Cho, Y.-J., Lee, S.-K., et al., “A Study on Improvements in Spray Performance of a Pneumatic Nebulizer,” Int. J. Precis. Eng. Manuf., Vol. 16, No. 7, pp. 1667–1673, 2015.

    Article  Google Scholar 

  16. Song, C.-H., Cho, M.-G., Park, J.-Y., Lee, J.-W., Jeong, M.-S., et al., “Design Study of a Rock Particle Flushing Device for a Rock Reaming Machine by CFD Simulation,” Int. J. Precis. Eng. Manuf., Vol. 16, No. 7, pp. 1533–1542, 2015.

    Article  Google Scholar 

  17. Murayama, M., Nakahashi, K., and Matsushima, K., “A Robust Method for Unstructured Volume/Surface Mesh Movement,” Transactions of the Japan Society for Aeronautical and Space Sciences, Vol. 46, No. 152, pp. 104–112, 2003.

    Article  Google Scholar 

  18. Thongsri, J. and Pimsarn, M., “Optimum Airflow to reduce Particle Contamination inside Welding Automation Machine of Hard Disk Drive Production Line,” Int. J. Precis. Eng. Manuf., Vol. 16, No. 3, pp. 509–515, 2015.

    Article  Google Scholar 

  19. Song, C.-H., Kwon, K.-B., Park, J.-Y., Oh, J.-Y., Lee, S., et al., “Optimum Design of the Internal Flushing Channel of a Drill Bit using RSM and CFD Simulation,” Int. J. Precis. Eng. Manuf., Vol. 15, No. 6, pp. 1041–1050, 2014.

    Article  Google Scholar 

  20. Ding, L., Lu, Z., and Guo, T., “An Efficient Dynamic Mesh Generation Method for Complex Multi-Block Structured Grid,” Advances in Applied Mathematics and Mechanics, Vol. 6, No. 1, pp. 120–134, 2014.

    MathSciNet  Google Scholar 

  21. Nakahashi, K., “High-Density Mesh Flow Computations with Pre-/Post-Data Compressions,” Proc. of 17th AIAA Computational Fluid Dynamics Conference, AIAA 2005–4876, 2005.

    Google Scholar 

  22. Nakahashi, K., “Building-Cube Method for Flow Problems with Broadband Characteristic Length,” Computational Fluid Dynamics, pp. 77–81, 2003.

    Google Scholar 

  23. Nakahashi, K. and Kim, L. S., “Building-Cube Method for Large- Scale, High Resolution Flow Computations,” Proc. of 42nd AIAA Aerospace Sciences Meeting and Exhibit, AIAA 2004–434, 2004.

    Google Scholar 

  24. Nakahashi, K. and Egami, K., “An Automatic Euler Solver using the Unstructured Upwind Method,” Computers & Fluids, Vol. 19, No. 3, pp. 273–286, 1991.

    Article  MATH  Google Scholar 

  25. Möller, T. and Trumbore, B., “Fast, Minimum Storage Ray/Triangle Intersection,” Journal of Graphics Tools, Vol. 2, No. 1, pp. 21–28, 1997.

    Article  Google Scholar 

  26. O'Rourke, J., “Computational Geometry in C,” Cambridge University Press, pp. 233–238, 1998.

    Google Scholar 

  27. Jameson, A. and Yoon, S., “Lower-Upper Implicit Schemes with Multiple Grids for the Euler Equations,” AIAA Journal, Vol. 25, No. 7, pp. 929–935, 1987.

    Article  Google Scholar 

  28. Obayashi, S. and Wada, Y., “Practical Formulation of a Positively Conservative Scheme,” AIAA Journal, Vol. 32, No. 5, pp. 1093–1095, 1994.

    Article  MATH  Google Scholar 

  29. OpenMP, “OpenMP Compilers,” http://openmp.org/wp/openmpcompilers/ (Accessed 15 OCT 2015)

  30. Schmitt, V. and Charpin, F., “Pressure Distributions on the Onera- M6-Wing at Transonic Mach Numbers,” Experimental Data Base for Computer Program Assessment, AGARD AR–138, 1979.

    Google Scholar 

  31. Oki, Y. and Uchiyama, N., “Evaluation of Transonic Flow Analysis around Onera Model M5 Configuration using Casper-Hybrid Unstructured Navier-Stokes Code,” Proc. of 24th International Congress on the Aeronautical Sciences, 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sung-Ki Lyu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, LS., Nakahashi, K., Xu, ZZ. et al. Three-dimensional building-cube method for inviscid compressible flow computations. Int. J. Precis. Eng. Manuf. 16, 2673–2681 (2015). https://doi.org/10.1007/s12541-015-0342-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-015-0342-4

Keywords

Navigation