1. Large-eddy simulations of the near field of a turbulent annular jet

    Ryzhenkov, V. & Mullyadzhanov, R., 27 Sept 2017, In: Journal of Physics: Conference Series. 899, 2, 6 p., 022014.

    Research output: Contribution to journalArticlepeer-review

  2. Large-eddy simulations of variable-density turbulent jets

    Ivashchenko, V., Ryzhenkov, V. & Mullyadzhanov, R., 7 Dec 2018, In: Journal of Physics: Conference Series. 1128, 1, 7 p., 012016.

    Research output: Contribution to journalConference articlepeer-review

  3. LES Simulation of a Model Gas-Turbine Lean Combustor: Impact of Coherent Flow Structures on the Temperature Field and Concentration of CO and NO

    Chikishev, L. M., Sharaborin, D. K., Lobasov, A. S., Dekterev, A. A., Tolstoguzov, R. V., Dulin, V. M. & Markovich, D. M., 1 Jun 2022, In: Energies. 15, 12, 4362.

    Research output: Contribution to journalArticlepeer-review

  4. Manipulating cavitation by a wall jet: Experiments on a 2D hydrofoil

    Timoshevskiy, M. V., Zapryagaev, I. I., Pervunin, K. S., Maltsev, L. I., Markovich, D. M. & Hanjalić, K., 1 Feb 2018, In: International Journal of Multiphase Flow. 99, p. 312-328 17 p.

    Research output: Contribution to journalArticlepeer-review

  5. Mass and momentum transport in the near field of swirling turbulent jets. effect of swirl rate

    Lobasov, A. S., Alekseenko, S. V., Markovich, D. M. & Dulin, V. M., Jun 2020, In: International Journal of Heat and Fluid Flow. 83, 13 p., 108539.

    Research output: Contribution to journalArticlepeer-review

  6. Mixing in a model gas turbine combustor studied by panoramic optical techniques

    Chikishev, L. M., Dulin, V. M., Gobyzov, O. A., Lobasov, A. S. & Markovich, D. M., 1 May 2017, In: Thermophysics and Aeromechanics. 24, 3, p. 347-353 7 p.

    Research output: Contribution to journalArticlepeer-review

  7. Modal Decomposition of the Precessing Vortex Core in a Hydro Turbine Model

    Litvinov, I., Sharaborin, D., Gorelikov, E., Dulin, V., Shtork, S., Alekseenko, S. & Oberleithner, K., 1 May 2022, In: Applied Sciences (Switzerland). 12, 10, 5127.

    Research output: Contribution to journalArticlepeer-review

  8. Modeling of the Tonal Noise Characteristics in a Foil Flow by using Machine Learning

    Abdurakipov, S. S., Tokarev, M. P., Pervunin, K. S. & Dulin, V. M., 1 Mar 2019, In: Optoelectronics, Instrumentation and Data Processing. 55, 2, p. 205-211 7 p.

    Research output: Contribution to journalArticlepeer-review

  9. Modern optical techniques for cavitating flow diagnostics: A review

    Pervunin, K. S., Markovich, D. M. & Hanjalić, K., 1 Jan 2018, In: Interfacial Phenomena and Heat Transfer. 6, 2, p. 139-154 16 p.

    Research output: Contribution to journalArticlepeer-review

  10. Modification of k-ε Model for Sensible Heat and Momentum Flux Reconstruction from Surface Temperature Data

    Hrebtov, M. & Bobrov, M., Jul 2022, In: Atmosphere. 13, 7, 1146.

    Research output: Contribution to journalArticlepeer-review

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