Literature DB >> 19534142

An image-based method for obtaining pore-size distribution of porous media.

Zhen Yang1, Xiao-Feng Peng, Duu-Jong Lee, Ming-Yuan Chen.   

Abstract

This purpose of this investigation is to develop a new method for obtaining pore-size distribution (PSD) and other pore parameters from inner structure images. This method can be summarized into four key procedures to realize its functionality. A MATLAB program was composed to make the method applicable for image analysis. Image tests on wastewater biofouling layer samples showed the validity and feasibility of the method for analyzing intrinsic porous structures. The structural information obtained by this method can facilitate the understanding of transport phenomena, e.g., water flow and species diffusion inside porous structures.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19534142     DOI: 10.1021/es900097e

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  4 in total

Review 1.  Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review.

Authors:  J C Costa; D P Mesquita; A L Amaral; M M Alves; E C Ferreira
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-29       Impact factor: 4.223

2.  3D polylactide-based scaffolds for studying human hepatocarcinoma processes in vitro.

Authors:  Roberto Scaffaro; Giada Lo Re; Salvatrice Rigogliuso; Giulio Ghersi
Journal:  Sci Technol Adv Mater       Date:  2012-07-23       Impact factor: 8.090

3.  Pore Structure Characterization of Sodium Hydroxide Activated Slag Using Mercury Intrusion Porosimetry, Nitrogen Adsorption, and Image Analysis.

Authors:  Yibing Zuo; Guang Ye
Journal:  Materials (Basel)       Date:  2018-06-19       Impact factor: 3.623

4.  Porosity, permeability and 3D fracture network characterisation of dolomite reservoir rock samples.

Authors:  Maarten Voorn; Ulrike Exner; Auke Barnhoorn; Patrick Baud; Thierry Reuschlé
Journal:  J Pet Sci Eng       Date:  2015-03-01       Impact factor: 4.346

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.