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Non-Isothermal Vortex Flow in the T-Junction Pipe

Author

Listed:
  • Tatyana A. Baranova

    (A.V. Luikov Heat and Mass Transfer Institute of NAS of Belarus, 220072 Minsk, Belarus)

  • Yulia V. Zhukova

    (A.V. Luikov Heat and Mass Transfer Institute of NAS of Belarus, 220072 Minsk, Belarus)

  • Andrei D. Chorny

    (A.V. Luikov Heat and Mass Transfer Institute of NAS of Belarus, 220072 Minsk, Belarus
    Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, 115409 Moscow, Russia)

  • Artem Skrypnik

    (Department of Heat Engineering and Energy Machinery, Kazan National Research Technical University Named after A.N. Tupolev—KAI (KNRTU-KAI), 420111 Kazan, Russia
    Institute of Process Engineering and Environmental Technology, Technische Universität Dresden, 01062 Dresden, Germany)

  • Igor A. Popov

    (Department of Heat Engineering and Energy Machinery, Kazan National Research Technical University Named after A.N. Tupolev—KAI (KNRTU-KAI), 420111 Kazan, Russia)

Abstract

The numerical simulation approach of heat carrier mixing regimes in the T-junction shows that the RANS approach is beneficial for a qualitative flow analysis to obtain relatively agreed averaged velocity and temperature. Moreover, traditionally, the RANS approach only predicts the averaged temperature distribution. This mathematical model did not consider the temperature fluctuation variations important for the thermal fatigue task. It should also be emphasized that unlike the LES approach, the steady RANS approach cannot express a local flow structure in intense mixing zones. Nevertheless, apparently the adopted RANS approach should be used for assessing the quality of computational meshes, boundary conditions with the purpose to take LES for further numerical simulation.

Suggested Citation

  • Tatyana A. Baranova & Yulia V. Zhukova & Andrei D. Chorny & Artem Skrypnik & Igor A. Popov, 2021. "Non-Isothermal Vortex Flow in the T-Junction Pipe," Energies, MDPI, vol. 14(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7002-:d:664675
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    Cited by:

    1. Mikhail A. Sheremet, 2023. "Numerical Simulation of Convective Heat Transfer," Energies, MDPI, vol. 16(4), pages 1-3, February.

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