(A) Numerical Investigation of Roughness Facilitated Turbulent Rayleigh-Bénard Convection
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Abstract
The present work involves a numerical investigation of roughness-aided Rayleigh-Bénard convection
(RBC) to elucidate the dominant flow mechanism responsible for augmented heat transfer. Direct numerical
simulations (DNS) in a 2D rectangular cell with air as working fluid reveal that multi-scale roughness,
containing irregular triangular elements, is efficient in sustaining enhanced heat transfer scaling exponent
even in the high Rayleigh range, 108 ≤ Ra ≤ 1011. The activation of small-scale roughness elements is
seen to play a pivotal role in sustaining an augmented heat transport at higher Ra. Detailed analysis of the
near-wall dynamics unveils the complex role of the roughness elements and the associated throat, valley,
and tip regions in influencing dominant flow structures and heat transport mechanism. The extent of
transformation of vertical profiles of mean temperature passing through different valley regions, from flat
linear into steeper ones with increasing Ra, bears close connection with the effectiveness of the given
throat region in the higher Ra regime. Incorporating the effect of Prandtl number (Pr) in the 2D roughness
framework for 107 ≤ Ra ≤ 5 × 109 and 0.1 ≤ Pr ≤ 100, a monotonic increasing behavior of Nusselt number
(Nu) as a function of Pr is observed. This result contrasts with the near invariant behavior shown by Nu with
Pr in smooth cells. In the case of 3D roughness setup with Ra = 108 and 1 ≤ Pr ≤ 50, Pr is not seen to
influence the global heat transport, though Nusselt number is around 50% higher compared to its smooth
counterpart. The projection of strength of angular rotation of fluid flow, calculated about geometric center of
the cell, onto the chosen directions reveals that roughness elements alter the preferred orientation of largescale
circulation (LSC). Through various turbulent statistics, amplified fluctuations in both bulk and nearwall
regions are revealed for the roughened cells.
Description
Supervisor: De, Arnab Kumar