A New Procedure for Porous Material Characterization

Chavdar Chilev; Yana Stoycheva; Moussa Dicko; Farida Lamari; Patrick Langlois; Ivan Pentchev

doi:doi:10.11648/j.ijsts.20170504.22

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A New Procedure for Porous Material Characterization

Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, Ivan Pentchev

Published in International Journal of Science, Technology and Society (Volume 5, Issue 4)

Received: 28 May 2017 Accepted: 22 June 2017 Published: 24 July 2017

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Abstract

A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ^ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ^ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.

Published in	International Journal of Science, Technology and Society (Volume 5, Issue 4)
DOI	10.11648/j.ijsts.20170504.22
Page(s)	131-140
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Porous Materials, SEM, PSD, ^ImageJ, Activated Carbon

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APA Style

Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. (2017). A New Procedure for Porous Material Characterization. International Journal of Science, Technology and Society, 5(4), 131-140. https://doi.org/10.11648/j.ijsts.20170504.22

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ACS Style

Chavdar Chilev; Yana Stoycheva; Moussa Dicko; Farida Lamari; Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int. J. Sci. Technol. Soc. 2017, 5(4), 131-140. doi: 10.11648/j.ijsts.20170504.22

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AMA Style

Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int J Sci Technol Soc. 2017;5(4):131-140. doi: 10.11648/j.ijsts.20170504.22

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@article{10.11648/j.ijsts.20170504.22,
  author = {Chavdar Chilev and Yana Stoycheva and Moussa Dicko and Farida Lamari and Patrick Langlois and Ivan Pentchev},
  title = {A New Procedure for Porous Material Characterization},
  journal = {International Journal of Science, Technology and Society},
  volume = {5},
  number = {4},
  pages = {131-140},
  doi = {10.11648/j.ijsts.20170504.22},
  url = {https://doi.org/10.11648/j.ijsts.20170504.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170504.22},
  abstract = {A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.},
 year = {2017}
}

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TY  - JOUR
T1  - A New Procedure for Porous Material Characterization
AU  - Chavdar Chilev
AU  - Yana Stoycheva
AU  - Moussa Dicko
AU  - Farida Lamari
AU  - Patrick Langlois
AU  - Ivan Pentchev
Y1  - 2017/07/24
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsts.20170504.22
DO  - 10.11648/j.ijsts.20170504.22
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 131
EP  - 140
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20170504.22
AB  - A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.
VL  - 5
IS  - 4
ER  -

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Author Information

Chavdar Chilev

LSPM CNRS, University Paris 13, Villetaneuse, France
Yana Stoycheva

LSPM CNRS, University Paris 13, Villetaneuse, France
Moussa Dicko

LSPM CNRS, University Paris 13, Villetaneuse, France
Farida Lamari

LSPM CNRS, University Paris 13, Villetaneuse, France
Patrick Langlois

LSPM CNRS, University Paris 13, Villetaneuse, France
Ivan Pentchev

Department of Chemical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria

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Plain Text BibTeX RIS

APA Style

Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. (2017). A New Procedure for Porous Material Characterization. International Journal of Science, Technology and Society, 5(4), 131-140. https://doi.org/10.11648/j.ijsts.20170504.22

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ACS Style

Chavdar Chilev; Yana Stoycheva; Moussa Dicko; Farida Lamari; Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int. J. Sci. Technol. Soc. 2017, 5(4), 131-140. doi: 10.11648/j.ijsts.20170504.22

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AMA Style

Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int J Sci Technol Soc. 2017;5(4):131-140. doi: 10.11648/j.ijsts.20170504.22

Copy | Download

@article{10.11648/j.ijsts.20170504.22,
  author = {Chavdar Chilev and Yana Stoycheva and Moussa Dicko and Farida Lamari and Patrick Langlois and Ivan Pentchev},
  title = {A New Procedure for Porous Material Characterization},
  journal = {International Journal of Science, Technology and Society},
  volume = {5},
  number = {4},
  pages = {131-140},
  doi = {10.11648/j.ijsts.20170504.22},
  url = {https://doi.org/10.11648/j.ijsts.20170504.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170504.22},
  abstract = {A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A New Procedure for Porous Material Characterization
AU  - Chavdar Chilev
AU  - Yana Stoycheva
AU  - Moussa Dicko
AU  - Farida Lamari
AU  - Patrick Langlois
AU  - Ivan Pentchev
Y1  - 2017/07/24
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsts.20170504.22
DO  - 10.11648/j.ijsts.20170504.22
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 131
EP  - 140
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20170504.22
AB  - A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.
VL  - 5
IS  - 4
ER  -

Copy | Download