INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)

INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)

Mercury porosimetry is commonly used to measure pore size distributions in porous materials such as heterogeneous catalysts. The conventional interpretation of the data is inadequate to provide a realistic picture of the actual void space. Porosimetry experiments on a series of well-characterized po...

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Main Author: LANE, ALAN MICHAEL
Language:ENG
Published: ScholarWorks@UMass Amherst 1984
Subjects:
Chemical engineering
Online Access:https://scholarworks.umass.edu/dissertations/AAI8500090
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spelling ndltd-UMASS-oai-scholarworks.umass.edu-dissertations-25672020-12-02T14:37:51Z INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES) LANE, ALAN MICHAEL Mercury porosimetry is commonly used to measure pore size distributions in porous materials such as heterogeneous catalysts. The conventional interpretation of the data is inadequate to provide a realistic picture of the actual void space. Porosimetry experiments on a series of well-characterized porous materials led to the development of a better model for data interpretation. This model was studied using Monte Carlo computer simulation, mathematical analysis, and application of percolation theory to the porosimetry process. This research resulted in providing a few easily applied heuristic rules for interpreting the data. These rules yield more and better information with no additional experimental data. 1984-01-01T08:00:00Z text https://scholarworks.umass.edu/dissertations/AAI8500090 Doctoral Dissertations Available from Proquest ENG ScholarWorks@UMass Amherst Chemical engineering
collection NDLTD
language ENG
sources NDLTD
topic Chemical engineering
spellingShingle Chemical engineering
LANE, ALAN MICHAEL
INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
description Mercury porosimetry is commonly used to measure pore size distributions in porous materials such as heterogeneous catalysts. The conventional interpretation of the data is inadequate to provide a realistic picture of the actual void space. Porosimetry experiments on a series of well-characterized porous materials led to the development of a better model for data interpretation. This model was studied using Monte Carlo computer simulation, mathematical analysis, and application of percolation theory to the porosimetry process. This research resulted in providing a few easily applied heuristic rules for interpreting the data. These rules yield more and better information with no additional experimental data.
author LANE, ALAN MICHAEL
author_facet LANE, ALAN MICHAEL
author_sort LANE, ALAN MICHAEL
title INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
title_short INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
title_full INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
title_fullStr INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
title_full_unstemmed INTERPRETATION OF MERCURY POROSIMETRY DATA (CATALYSIS, MORPHOLOGY, PORES)
title_sort interpretation of mercury porosimetry data (catalysis, morphology, pores)
publisher ScholarWorks@UMass Amherst
publishDate 1984
url https://scholarworks.umass.edu/dissertations/AAI8500090
work_keys_str_mv AT lanealanmichael interpretationofmercuryporosimetrydatacatalysismorphologypores
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