Geometrical investigation of bluff bodies array subjected to forced convective flows for different aspect ratios of frontal body

Teixeira, Filipe Branco; Biserni, Cesare; Conde, P.V.; Rocha, Luíz Alberto Oliveira; Isoldi, Liércio André; Santos, Elizaldo Domingues dos

doi:10.1016/j.ijthermalsci.2020.106724

Cited by 14 publications

(2 citation statements)

References 38 publications

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“…The shape of the dendritic network changes as a function of the type of flow regime [15][16][17][18]. It also varies when fluid mechanics constraints are combined with other constraints such as heat transfer performance [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Capillary trees for passively pumping water

Zhang¹,

Lorente²

2022

J. Phys. D: Appl. Phys.

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Capillary flows are an attractive feature for passive water harvesting as they require no external driving force to pull the fluid out within the capillary network. Here we analyze the architecture of capillary flow networks in steady state, and the impact of the network morphology on the maximum mass flow rate that can be extracted for a fixed network volume and fixed network footprint. We develop a search algorithm to test the possible location of all the junction and bifurcation nodes and the changes in diameter ratios with the objective of obtaining the maximum mass flow rate from the network. We define the Capillary Strength CS as a local indicator to determine the geometrical parameters of each conduct that allow to sustain the overall mass flow rate. It is shown that the diameter ratio of connected tubes for maximum mass flow rate depends on the distance from the network outlet, and therefore does not follow the Hess-Murray’s law. The superiority of dendritic architectures in the roots and canopy branches of the capillary trees is demonstrated.

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Section: Introductionmentioning

confidence: 99%

Capillary trees for passively pumping water

Zhang¹,

Lorente²

2022

J. Phys. D: Appl. Phys.

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show abstract

“…Applications span multiple domains [20][21][22][23][24], mainly in thermal science [25][26][27][28], including energy storage (sensible, latent [29,30] and TES [31,32]).…”

Section: Introductionmentioning

confidence: 99%