Calculation of flows with separation, heat transfer, and swirl by means of boundary-layer equations

  • V. I. Vasil'ev
  • S. V. Khokhlov


Heat Transfer Mathematical Modeling Mechanical Engineer Industrial Mathematic 
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Literature cited

  1. 1.
    J. E. Carter, “Solutions for laminar boundary layers with separation and reattachment,” AIAA Paper No. 583, AIAA, New York (1974).Google Scholar
  2. 2.
    H. McDonald and W. R. Briley, “A survey of recent work on interacted boundary-layer theory for flow with separation,” in: Numerical and Physical Aspects of Aerodynamic Flows II, Springer-Verlag, Berlin-New York (1984).Google Scholar
  3. 3.
    V. I. Vasil'ev, S. V. Khokhlov, and E. Yu. Shal'man, “Calculation of separation flows by means of boundary-layer equations,” Prikl. Mekh. Tekh. Fiz., No. 6 (1990).Google Scholar
  4. 4.
    V. I. Vasil'ev, “Calculation of viscous incompressible fluid flow in a channel with a separator and determination of its global characteristics,” Izv. Akad. Nauk SSSR, Mekh. Zhidk. Gaza, No. 1 (1991).Google Scholar
  5. 5.
    T. Cebeci and P. Bradshaw, Physical and Computational Aspects of Convective Heat Transfer, Springer-Verlag, Berlin-New York (1991).Google Scholar
  6. 6.
    C. Saidi, F. Legay-Desesquelles, and B. Prunet-Foch, “Laminar flow past sinusoidal cavity,” Int. J. Heat Mass Transfer,30, No. 4 (1987).Google Scholar
  7. 7.
    V. V. Bogdanova, “Laminar boundary layer in axisymmetrical swirled flow,” in: Engineering Fluid and Gas Dynamics (Proceedings of the Leningrad Polytechnic Institute, No. 248) [in Russian], LPI, Leningrad (St. Petersburg) (1965).Google Scholar

Copyright information

© Plenum Publishing Corporation 1993

Authors and Affiliations

  • V. I. Vasil'ev
    • 1
  • S. V. Khokhlov
    • 1
  1. 1.Moscow

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