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  1. AU="Srimanta Maji"
  2. AU="Provost, H. Le"
  3. AU="Hain, W"
  4. AU="Broussard, Kelly R"
  5. AU=Thomson J. C.
  6. AU="Itkonen, Paula"
  7. AU="Fan, Hui-Jie"
  8. AU="Chun-Hsiung Wang"
  9. AU=Saud Zack
  10. AU=Nishino Yoshii
  11. AU="Garnett, Daniel"
  12. AU="Molinar, Aja"
  13. AU="Dumbaugh, Mari"
  14. AU="Kuo, Ming-ta"
  15. AU="Ferriani, Rui Alberto"
  16. AU=Bakri Faris Ghalib
  17. AU=Thor Karl B
  18. AU="Bittencourt, José Augusto F"
  19. AU="Torunn Forberg"
  20. AU=Brackley Chris A.
  21. AU="Klünker, Wolf-Ulrich"
  22. AU="Cody N Heiser"
  23. AU="Xing-Ding Zhou"
  24. AU="Abdallah, Al-Ola"
  25. AU=Grimminck Koen
  26. AU="Roulston, T’ai H."
  27. AU="Morgan, Robert D"
  28. AU="Hayashida, Hirotoshi"
  29. AU=Kivisto Ilkka
  30. AU="Miller, Heinz"
  31. AU="Campbell, Joshua W"
  32. AU="Miller, David J"
  33. AU="Morales-Ledesma, Leticia"
  34. AU="Rongkard, Patpong"
  35. AU="Martínez Rolando, Lidia"
  36. AU="Dogra, Surabhi"
  37. AU="Liu, Xiaolei"
  38. AU=Machesky Laura
  39. AU="Schadrac C Agbla"

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  1. Artikel ; Online: Numerical investigation of mixed convection boundary layer flow for nanofluids under quasilinearization technique

    Srimanta Maji / Akshaya K. Sahu

    SN Applied Sciences, Vol 3, Iss 11, Pp 1-

    2021  Band 13

    Abstract: Abstract The study of boundary layer flow under mixed convection has been investigated numerically for various nanofluids over a semi-infinite flat plate which has been placed vertically upward for both buoyancy-induced assisting and buoyancy-induced ... ...

    Abstract Abstract The study of boundary layer flow under mixed convection has been investigated numerically for various nanofluids over a semi-infinite flat plate which has been placed vertically upward for both buoyancy-induced assisting and buoyancy-induced opposing flow cases. To facilitate numerical calculations, a suitable transformation has been made for the governing partial differential equations (PDEs). Then, similarity method has been applied locally to approximate the nonlinear PDEs into a coupled nonlinear ordinary differential equations (ODEs). Then, quasilinearization method has been taken for linearizing the nonlinear terms which are present in the governing equations. Thereafter, implicit trapezoidal rule has been taken for integration numerically along with principle of superposition. The effect of physical parameters which are involved in the study are analyzed on the flow and heat transfer characteristics. This study reveals the presence of dual solutions in case of opposing flow. Further, this study shows that with increasing $$\phi$$ ϕ and Pr, the range of existence of dual solutions becomes wider. Also, it has been noted that nanofluids enhance the process of heat transfer for buoyancy assisting flow and it delays the separation point in case of opposing flow.
    Schlagwörter Mixed convection ; Dual solutions ; Nanofluids ; Quasilinearization method ; Science ; Q ; Technology ; T
    Thema/Rubrik (Code) 621
    Sprache Englisch
    Erscheinungsdatum 2021-10-01T00:00:00Z
    Verlag Springer
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Stirred tank simulation using Partially-Averaged Navier-Stokes $$k_u-\epsilon _u$$ k u - ϵ u turbulence model

    Srimanta Maji / Akshaya K. Sahu

    SN Applied Sciences, Vol 3, Iss 5, Pp 1-

    2021  Band 16

    Abstract: Abstract In the present study, simulation of a stirred tank using axial flow impeller has been studied numerically to see the behaviour of flow variables in the entire vessel. It is assumed that the flow is steady state, two dimensional, incompressible ... ...

    Abstract Abstract In the present study, simulation of a stirred tank using axial flow impeller has been studied numerically to see the behaviour of flow variables in the entire vessel. It is assumed that the flow is steady state, two dimensional, incompressible and axisymmetric. For simulation, Partially-Averaged Navier-Stokes (PANS) $$k_u-\epsilon _u$$ k u - ϵ u turbulence model has been taken into account. For discretization, control volume method along with upwind and power-law schemes have been taken. The solutions are obtained by using the SIMPLE algorithm. The boundary conditions for impeller are given by using the experimental data. The main objective is to investigate the influence of different filters width $$f_k$$ f k of the PANS $$k_u-\epsilon _u$$ k u - ϵ u model parameter on the characteristic flow variables. The predicted results of the PANS $$k_u-\epsilon _u$$ k u - ϵ u model for different $$f_k$$ f k have been compared with the experimental data at different axial levels of the stirred tank. It has been observed that the power-law scheme gives better agreement with the experimental data. Further, near the impeller region, PANS predicted results are better for smaller $$f_k$$ f k . Also, Reynolds-Averaged Navier-Stokes Shear Stress Transport (SST) $$k-\omega $$ k - ω turbulence model has been tested for comparative study.
    Schlagwörter PANS $$k_u-\epsilon _u$$ k u - ϵ u turbulence model ; SST $$k-\omega $$ k - ω turbulence model ; Control volume method-Stirred vessel ; Axial flow impeller ; Science ; Q ; Technology ; T
    Thema/Rubrik (Code) 532 ; 621
    Sprache Englisch
    Erscheinungsdatum 2021-04-01T00:00:00Z
    Verlag Springer
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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