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P. G. Daniels

Researcher at City University London

Publications -  7
Citations -  128

P. G. Daniels is an academic researcher from City University London. The author has contributed to research in topics: Rayleigh number & Boundary layer. The author has an hindex of 6, co-authored 7 publications receiving 128 citations.

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Thermally Driven Cavity Flows in Porous Media. I. The Vertical Boundary Layer Structure Near the Corners

TL;DR: In this article, the authors considered cavity flows driven by an applied horizontal temperature gradient in the high Rayleigh number limit for a fluid-saturated porous medium, and the analysis is concerned with the behaviour of the vertical boundary layer equations near the corners of the cavity.
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Thermal convection in a cavity filled with a porous medium: A classification of limiting behaviours

TL;DR: In this article, the authors considered thermal driven flows in a 2-dim rectangular cavity filled with a fluid-saturated porous medium, where the applied temperature gradient is perpendicular to the gravity vector.
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Onset of Multicellular Convection in a Shallow Laterally Heated Cavity

TL;DR: In this paper, a range of Rayleigh numbers R and Prandtl numbers σ were analyzed over a set of cavity flows, driven by horizontal thermal gradients, and a limit on the limit in which R is comparable in size to the cavity aspect ratio L → ∞ at fixed R and σ was found.
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Thermally driven cavity flows in porous media II. The horizontal boundary layer structure

TL;DR: In this paper, an analysis is given of the structure of thermally driven cavity flows in fluid-saturated porous media, with particular emphasis on the description of diffusive layers near the horizontal surfaces.
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Thermal convection in a cavity: the core structure near the horizontal boundaries

TL;DR: In this paper, it is shown that both corner flows have a double structure with the outer layers being convection dominated, and numerical integration, with spectral decomposition, is shown to lead to values of the core mass flux that are in good agreement with existing experimental data.