Drag coefficient of flow around a sphere: Matching asymptotically the wide trend

Almedeij, Jaber

doi:10.1016/j.powtec.2007.12.006

Cited by 116 publications

(53 citation statements)

References 18 publications

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“…Considering fluid flow, two essential assumptions can be applied for modeling, namely flow‐through a capillary and flow‐around a solid body (a sphere or a cylinder). These approaches were successfully used in the literature for others reactor fillings: flow around a sphere—for example, pneumatic transport and sedimentation of grains; flow around a cylinder—for example, fluid flow through woven screens; flow through a short capillary duct—for example, short monoliths …”

Section: Resultsmentioning

confidence: 99%

Gas‐phase flow resistance of metal foams: Experiments and modeling

et al. 2017

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Based on experimental results of gas flow resistance through two metal foams, NC 2733 and Ni 2733, a modeling is performed to adjudicate governing flow mechanism. Two essential models are considered: developing laminar flow within short capillary channel (i.e., foam pore) and flow around solid body (foam strut modeled as cylinder or sphere), each of them of some variants. Foam geometry was studied using computer microtomography. The model of flow around a sphere (diameter equal to strut thickness) gives the best conformity with experiments. © 2017 American Institute of Chemical Engineers AIChE J, 63: 1799–1803, 2017

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Section: Resultsmentioning

confidence: 99%

Gas‐phase flow resistance of metal foams: Experiments and modeling

et al. 2017

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“…These approaches were successfully applied in the literature for other reactor fillings: flow around a sphere-e.g., pneumatic transport and sedimentation of grains [17,18], flow around a cylinder-e.g., fluid flow through woven screens [19], and flow through a short capillary duct-e.g., for very short monoliths [20].…”

Section: Pressure Drop Modellingmentioning

confidence: 99%

“…In the literature many authors developed correlations for the drag coefficient C D for a sphere (see e.g., [17]), but the results do not differ significantly. In this study, the correlation of Torobin and Gauvin [18] was chosen: …”

Section: Pressure Drop Modellingmentioning

confidence: 99%

In Search of Governing Gas Flow Mechanism through Metal Solid Foams

et al. 2017

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Solid foams have been intensely studied as promising structured catalytic internals. However, mechanisms governing flow and transport phenomena within the foam structures have not been properly addressed in the literature. The aim of this study was to consider such flow mechanisms based on our experimental results on flow resistance. Two mechanisms were considered: developing laminar flow in a short capillary channel (flow-through model), and flow around an immersed solid body, either a cylinder or sphere (flow-around model). Flow resistance experiments were performed on three aluminum foams of 10, 20, and 40 PPI (pores per inch), using a 57 mm ID test column filled with the foams studied. The foam morphology was examined using microtomography and optical microscopy to derive the geometric parameters applied in the model equations. The flow-through model provided an accuracy of 25% for the experiments. The model channel diameter was the foam cell diameter, and the channel length was the strut thickness. The accuracy of the flow-around model was only slightly worse (35%). It was difficult to establish the geometry of the immersed solid body (sphere or cylinder) because experiment characteristics tended to change from sphere to cylinder with increasing PPI value.

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“…1 The literature provides several examples of both numerical and experimental analysis of the flow around a stationary sphere - Almedeij (2008), Bouchet et al (2006), Ploumhans et al (2002), Howe et al (2001), Kim et al (2001), Fadlun et al (2000), Tomboulides and Orszag (2000), Johnson and Patel (1999), Mittal and Najjar (1999), Fornberg (1988), Shirayama (1992). Despite the geometric symmetry and simplicity of a solid sphere, complex flow patterns can be observed in the wake at moderate large Reynolds numbers, whose characterization constitutes an interesting benchmark for validating Navier-Stokes equations solvers.…”

Section: Introductionmentioning

confidence: 99%