Open Celled Material Structural Properties Measurement: From Morphology To Transport Properties

Vicente, Jérôme; Topin, Frédéric; Daurelle, Jean-Vincent

doi:10.2320/matertrans.47.2195

Cited by 72 publications

(52 citation statements)

References 21 publications

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“…There are numerous methods of solid foam characterization, e.g., X-ray computer tomography (CT) [3][4][5], magnetic resonance imaging (MRI) [6], or microscopic methods [3,7]. The foam geometry can be modeled as a regular structure based on theoretical models like the cubic cell or Kelvin cell (for details see [5]) or as a real structure based on the CT reconstruction of real foam scans.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

In Search of Governing Gas Flow Mechanism through Metal Solid Foams

et al. 2017

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“…[26] Slight anisotropy of geometrical parameters is observed for our samples. Nevertheless at this stage of the study we neglect these effects.…”

Section: Experimental Set-upmentioning

confidence: 98%

Experimental Analysis of Multiphase Flow in Metallic foam: Flow Laws, Heat Transfer and Convective Boiling

et al. 2006

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The first part of this work deals with flow laws of gas, liquid and mixtures in metallic foam. This experimental work is based on the stationary pressure profile measurement in a channel filled with metallic foam of several grades or materials for several controlled flow rates. Several foam samples with different characteristics (10, 40, 60, 100 ppi) of copper and of nickel are studied. In single‐phase conditions, we evaluate the permeability and inertial the coefficient according to the Forchheimer model. In the gas flow case, compressibility effects are taken into account. Emphasis is given on the relative contributions of inertial and viscous effects. The specific behavior linked to compressibility effect is thoroughly studied. The adiabatic (air‐water) conditions are analyzed; the results are reported in term of biphasic multipliers according to a simple homogeneous model, to study the impact of foam texture and gas quality on flow laws. Several aspects of the two‐phase flow case (i.e. liquid‐vapor) are discussed: phase repartition, pressure drops, characteristic boiling curve …. In single phase conditions, the heat transfer coefficient was improved by two orders of magnitude with the presence of metallic foam with only a limited increase in pressure drop. In biphasic conditions, the study of convective boiling regime also showed significant heat transfer enhancement with very low‐pressure drops. A simple one dimensional homogeneous model was used and allows a good description of global flow behavior across the test section.

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“…The virtual geometric models [6,7], however, were constructed without sufficient verification by comparing to the real structures. Recently, X-ray tomography has rapidly developed and has been widely applied to material science, especially in the non-destructive reconstruction of porous materials, such as granular materials [8], metal foams [9], and fiber materials [10]. Pradeep et al [11] converted 3D tomography images into pore network modeling [12,13] which was composed of pores and connecting pore throats and in which a mass balance was imposed at each pore, and the flow through the pore throats was approximated.…”

Section: Related Researchmentioning

confidence: 99%