2020
DOI: 10.1016/j.expthermflusci.2020.110136
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Fluid flow characterisation in randomly packed microscale porous beds with different sphere sizes using micro-particle image velocimetry

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Cited by 13 publications
(5 citation statements)
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“…This indicates that the preferred path the fluid takes through the metal foam structure is not different in the different flow regimes. This is similar result from Lu et al (2020). Fig.…”
Section: Resultssupporting
confidence: 88%
“…This indicates that the preferred path the fluid takes through the metal foam structure is not different in the different flow regimes. This is similar result from Lu et al (2020). Fig.…”
Section: Resultssupporting
confidence: 88%
“…The packing form with a proper sub-channel can reduce the pressure drop and improve the heat transfer performance compared to randomly packing the particles [147][148][149]. Additionally, size distributions have a remarkable effect on the overall performance of the packed bed, and smaller particles fixed close to the tube wall are beneficial for restraining the Wall Effect and improving heat transfer [150,151].…”
Section: Innovative Design Methodsmentioning
confidence: 99%
“…Ltd., is used for micromodel fabrication. Fluorescent polystyrene particles (diameter, d p = 1 μm and density, ρ p = 1.055 g/cm 3 ) are used at a low concentration ranging from 0.04%−0.06% (by volume) to track the flow within the porous micromodel. Fluorescent polystyrene tracer particles (Thermofisher scientific) are selected based on the three parameters: particle response time (τ s ), settling velocity (ν s ), and mean displacement error due to Brownian motion (ε B ).…”
Section: Materials and Methodologymentioning
confidence: 99%
“…Measurements confirmed the average particle size of silica nanoparticles to be 15 nm. Spinning drop tensiometer (Kruss SITE-100) is used to measure dynamic interfacial tension between crude oil (density, 0.896 g/cm 3 ) and silica nanofluid (density, 1.02 g/cm 3 ). Wettability is measured based on the contact angle using a goniometer.…”
Section: Materials and Methodologymentioning
confidence: 99%
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