Application of the diagnostic plot in estimation of the skin friction in turbulent boundary layer under an adverse pressure gradient

• Autorzy: Niegodajew P. , Dróżdż A. , Elsner W.

Identyfikatory

DOI

10.24423/aom.3746

• Języki publikacji: EN

Abstrakty

EN

The paper concerns the problem of determining friction velocity in wallbounded flows affected by an adverse pressure gradient (APG). In the work of Niegodajew et al. [22] the corrected Clauser chart method (CCCM) for such flow conditions was proposed. This approach utilises the mean velocity profiles and turbulence intensity profiles to accurately estimate the friction velocity. In another work, Drózdz et al. [27] presented a modified version of the diagnostic-plot scaling (DPS) which allows for direct reconstruction of turbulence intensity profiles based on the local mean velocity profile, even when the flow is affected by a strong pressure gradient. This paper is aimed at verifying whether, when combining both of these methods (i.e. DPS and CCCM), the friction velocity can be accurately determined for APG flow conditions and one can possibly take advantage from both methods. The analysis revealed that the new approach is able to predict the friction velocity with uncertainty less than 5% for all the considered cases for the Clauser–Rotta parameter β < 17. Lastly, DPS-CCCM was also confronted with two empirical approaches (from available literature) allowing for estimation of the friction velocity under APG conditions. The performance of DPS-CCCM was found to be better than the ones of two other empirical approaches.

Słowa kluczowe

EN

turbulent boundary layer; friction velocity; Clauser-chart; adverse pressure gradient; diagnostic plot

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Archives of Mechanics
• Rocznik: 2021
• Tom: Vol. 73, nr 2
• Strony: 201--215
• Opis fizyczny: Bibliogr. 40 poz., rys. kolor.

Twórcy

autor

Niegodajew P.

• Czestochowa University of Technology, Department of Thermal Machinery, Armii Krajowej 21, 42-200 Czestochowa, Poland

autor

Dróżdż A.

• Czestochowa University of Technology, Department of Thermal Machinery, Armii Krajowej 21, 42-200 Czestochowa, Poland

autor

Elsner W.

• Czestochowa University of Technology, Department of Thermal Machinery, Armii Krajowej 21, 42-200 Czestochowa, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).