Exploring flow transition induced by surface-mounted riblets using large eddy simulations

Author:

Jain IshitaORCID,Sarkar S.ORCID

Abstract

A well-resolved large eddy simulation is employed to study the transition of spatially developing boundary layer when excited by distributed blade-riblets that are arranged in different configurations: one is two-dimensional spanwise riblets (denoted as R1), and the other being three-dimensional herringbone pattern of alternating converging and diverging riblets (denoted as R2). The inlet Reynolds number based on momentum thickness and freestream velocity is 360. The flow characteristics vary considerably between the two configurations. A transition delay is observed over R1-riblets owing to the recirculation bubbles occupying the entire cavity space between the consecutive riblets. The appearance of T–S waves over R1-riblets is manifested through the modal analysis, which, in concurrence with streaks, leads to the development of Λ-vortices and, thereby, exhibiting characteristics associated with the mixed-mode transition. Contradictorily, the T–S waves are bypassed when subjected to R2-riblets attributed to enhanced spanwise disturbances. The roughness-induced streaks destabilize via a lift-up mechanism and interact with background disturbances, leading to flow transition. Post-transition conditions for self-similarity are met for both configurations, albeit earlier for R2-riblets.

Funder

Science and Engineering Research Board

Publisher

AIP Publishing

Reference91 articles.

1. A review of surface roughness effects in gas turbines;J. Turbomach.,2010

2. Degradation in gas turbine systems;J. Eng. Gas Turbines Power,2001

3. Transition delay using biomimetic fish scale arrays;Sci. Rep.,2020

4. Profile loss reduction of high lift turbine blades with rough and ribbed surfaces,2022

5. On the many faces of transition,1969

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