Porometry, porosimetry, image analysis and void network modelling in the study of the pore-level properties of filters

We present fundamental and quantitative comparisons between the techniques of porometry (or flow permporometry), porosimetry, image analysis and void network modelling for seven types of filter, chosen to encompass the range of simple to complex void structure. They were metal, cellulose and glass fibre macro- and meso-porous filters of various types. The comparisons allow a general reappraisal of the limitations of each technique for measuring void structures. Porometry is shown to give unrealistically narrow void size distributions, but the correct filtration characteristic when calibrated. Shielded mercury porosimetry can give the quaternary (sample-level anisotropic) characteristics of the void structure. The first derivative of a mercury porosimetry intrusion curve is shown to underestimate the large number of voids, but this error can be largely corrected by the use of a void network model. The model was also used to simulate the full filtration characteristic of each sample, which agreed with the manufacturer’s filtration ratings. The model was validated through its correct a priori simulation of absolute gas permeabilities for track etch, cellulose nitrate and sintered powder filters. & 2011 Published by Elsevier Ltd.

[1]  G. Matthews,et al.  Use of a void network model to correlate porosity, mercury porosimetry, thin section, absolute permeability, and NMR relaxation time data for sandstone rocks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Marios A. Ioannidis,et al.  A new approach for the characterization of the pore structure of dual porosity rocks , 2009 .

[3]  S. Chakarvarti,et al.  MEASUREMENT OF AVERAGE ETCHED PORE RADIUS IN ION TRACK MEMBRANES THROUGH CONDUCTOMETRIC TECHNIQUE , 2008 .

[4]  A. Neimark,et al.  Experimental Confirmation of Different Mechanisms of Evaporation from Ink-Bottle Type Pores: Equilibrium, Pore Blocking, and Cavitation , 2002 .

[5]  R. Ziel,et al.  Quantification of the pore size distribution (porosity profiles) in microfiltration membranes by SEM, TEM and computer image analysis , 2008 .

[6]  L. Matějová,et al.  Pore-size distributions from nitrogen adsorption revisited: Models comparison with controlled-pore glasses , 2006 .

[7]  P. Gane,et al.  Influence of surface topography on adhesive and long-range capillary forces between hydrophobic surfaces in water. , 2009, Langmuir : the ACS journal of surfaces and colloids.

[8]  M. Sahimi,et al.  Determination of the true pore size distribution by flow permporometry experiments: An invasion perc , 2011 .

[9]  J J Meyers,et al.  Pore network modelling: determination of the dynamic profiles of the pore diffusivity and its effect on column performance as the loading of the solute in the adsorbed phase varies with time. , 2001, Journal of chromatography. A.

[10]  P. Worsfold,et al.  Simulation of water retention and hydraulic conductivity in soil using a three‐dimensional network , 2000 .

[11]  Joan E. Shields,et al.  Characterization of Porous Solids and Powders: Surface Area, Pore Size and Density , 2006 .

[12]  P. Prádanos,et al.  Pore Size Distributions in Microporous Membranes II. Bulk Characterization of Track-Etched Filters by Air Porometry and Mercury Porosimetry , 1995 .

[13]  Patrick A.C. Gane,et al.  Estimation of the effective particle sizes within a paper coating layer using a void network model , 2005 .

[14]  Cathy J. Ridgway,et al.  The effects of correlated networks on mercury intrusion simulations and permeabilities of sandstone and other porous media , 1995 .

[15]  Rigby A Hierarchical Structural Model for the Interpretation of Mercury Porosimetry and Nitrogen Sorption. , 2000, Journal of colloid and interface science.

[16]  城塚 正,et al.  Chemical Engineering Scienceについて , 1962 .

[17]  T. Brezesinski,et al.  Periodically Ordered Meso‐ and Macroporous SiO2 Thin Films and Their Induced Electrochemical Activity as a Function of Pore Hierarchy , 2007 .

[18]  Yong Lak Joo,et al.  Characterization of nanofibrous membranes with capillary flow porometry , 2006 .

[19]  R. Dawe,et al.  The recovery of oil from petroleum reservoirs , 1978 .

[20]  G. Matthews,et al.  Measurement and simulation of the effect of compaction on the pore structure and saturated hydraulic conductivity of grassland and arable soil , 2010 .

[21]  I. Furó,et al.  Comparison of NMR Cryoporometry, Mercury Intrusion Porosimetry, and DSC Thermoporosimetry in Characterizing Pore Size Distributions of Compressed Finely Ground Calcium Carbonate Structures , 2004 .

[22]  J. C. Price,et al.  A depth filtration model of straining within the void networks of stainless steel filters , 2009 .

[23]  P. Gane,et al.  Dynamic absorption into simulated porous structures , 2002 .

[24]  M. Thommes,et al.  Textural characterization of native and n-alky-bonded silica monoliths by mercury intrusion/extrusion, inverse size exclusion chromatography and nitrogen adsorption. , 2008, Journal of chromatography. A.

[25]  J. Van Brakel,et al.  Mercury porosimetry: state of the art , 1981 .

[26]  S. Rigby,et al.  A statistical model for the heterogeneous structure of porous catalyst pellets. , 2002, Advances in colloid and interface science.

[27]  Patrick A.C. Gane,et al.  Void Space Structure of Compressible Polymer Spheres and Consolidated Calcium Carbonate Paper-Coating Formulations , 1996 .

[28]  S. Rigby,et al.  Characterisation of porous solids using a synergistic combination of nitrogen sorption, mercury porosimetry, electron microscopy and micro-focus X-ray imaging techniques , 2002 .

[29]  M. Mietton-peuchot,et al.  Use of gas-liquid porometry measurements for selection of microfiltration membranes , 1997 .

[30]  Patrick A.C. Gane,et al.  Modelling diffusion from simulated porous structures , 2008 .