Mod-01 Lec-42 Introduction to Turbulence Modeling (Contd.)

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  • Опубликовано: 23 дек 2024

Комментарии • 14

  • @michaelmello42
    @michaelmello42 Год назад +1

    It doesn't get any better than this if you're looking for mathematically rigorous, and physically intuitive introductory lectures on turbulence. Professor Chakraborty is a gifted teacher and his lectures are a treasure.

  • @umbertocostabitencourt3695
    @umbertocostabitencourt3695 4 года назад +4

    This was absolutely the best lecture about k-e model that I've seen so far.
    Thank you so much!

    • @gaming4life25
      @gaming4life25 4 года назад +1

      slides are not clearly visible though.... :(

  • @kundanlal3951
    @kundanlal3951 4 года назад +2

    Excellent lecture with much of clarity on the practicability of turbulence modeling ------great

  • @rodrigovelez4062
    @rodrigovelez4062 4 года назад +4

    very nice explanation Professor, still being seen after 8 years

  • @TariqRidwan
    @TariqRidwan 10 лет назад +5

    Thank you very much Professor!! Your explanations are crystal clear and good enough to increase the students' interest on Turbulence Research :)

  • @MagneManet
    @MagneManet 11 лет назад +2

    Hi, nice video. Why do you divide by 2 in the averaging part at 17:25

    • @jaiminmistry5240
      @jaiminmistry5240 7 лет назад +2

      1/2 [d/dt(u^2)] differentiates into 1/2[2u (du/dt)] = u (du/dt)...u can see the same thing at 40:50.

    • @mitchellfowler2293
      @mitchellfowler2293 7 лет назад +2

      He is applying the chain rule to d/dt(u*u) = u*du/dt + u*du/dt = 2u*du/dt.

    • @jaym6162
      @jaym6162 6 лет назад

      Thanks

  • @Jeanquirino
    @Jeanquirino 8 лет назад +1

    Execellent lecture, just save me from fail this term

  • @jocaeq
    @jocaeq 11 лет назад +1

    Muito bom!

  • @azamchowdhury9010
    @azamchowdhury9010 6 лет назад +1

    Very effective

  • @nestrada561
    @nestrada561 10 лет назад

    Magnus. Reverse chain rule