Measurement of shape and size distributions of PVC resin particles by scanning electron microscopy and image analysis

F. Mahmud; M. Atiqullah; N. Jarrah; I. Hussain

doi:10.1016/0014-3057(92)90053-5

Measurement of shape and size distributions of PVC resin particles by scanning electron microscopy and image analysis

F. Mahmud, M. Atiqullah^*, N. Jarrah, I. Hussain

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

Characterizing poly(vinyl chloride) (PVC) resin particles in terms of particulate morphology, shape and size distributions is important for various technical reasons. We describe a method that shows how these properties can be simultaneously measured using scanning electron microscopy and image analysis. A computer algorithm, which calculates the distributions, has been developed based on the present mathematical formulation, and the data generated by scanning electron microscope and image analyser. The alogorithm considers the variation in shape and size of each particle. The number of mutually exclusive particles required for these measurements, to have an acceptable level of precision, has been statistically determined to be around 430. The number- and weight-average particle diameters, of the experimental PVC resin, were estimated to be 80.4 and 114.8 μm, respectively. The particle size uniformity index was found 1.43.

Original language	English
Pages (from-to)	1039-1043
Number of pages	5
Journal	European Polymer Journal
Volume	28
Issue number	9
DOIs	https://doi.org/10.1016/0014-3057(92)90053-5
State	Published - Sep 1992

ASJC Scopus subject areas

General Physics and Astronomy
Organic Chemistry
Polymers and Plastics
Materials Chemistry

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@article{4e5c498751a54520a932da99234d95f7,

title = "Measurement of shape and size distributions of PVC resin particles by scanning electron microscopy and image analysis",

abstract = "Characterizing poly(vinyl chloride) (PVC) resin particles in terms of particulate morphology, shape and size distributions is important for various technical reasons. We describe a method that shows how these properties can be simultaneously measured using scanning electron microscopy and image analysis. A computer algorithm, which calculates the distributions, has been developed based on the present mathematical formulation, and the data generated by scanning electron microscope and image analyser. The alogorithm considers the variation in shape and size of each particle. The number of mutually exclusive particles required for these measurements, to have an acceptable level of precision, has been statistically determined to be around 430. The number- and weight-average particle diameters, of the experimental PVC resin, were estimated to be 80.4 and 114.8 μm, respectively. The particle size uniformity index was found 1.43.",

author = "F. Mahmud and M. Atiqullah and N. Jarrah and I. Hussain",

year = "1992",

month = sep,

doi = "10.1016/0014-3057(92)90053-5",

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journal = "European Polymer Journal",

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TY - JOUR

T1 - Measurement of shape and size distributions of PVC resin particles by scanning electron microscopy and image analysis

AU - Mahmud, F.

AU - Atiqullah, M.

AU - Jarrah, N.

AU - Hussain, I.

PY - 1992/9

Y1 - 1992/9

N2 - Characterizing poly(vinyl chloride) (PVC) resin particles in terms of particulate morphology, shape and size distributions is important for various technical reasons. We describe a method that shows how these properties can be simultaneously measured using scanning electron microscopy and image analysis. A computer algorithm, which calculates the distributions, has been developed based on the present mathematical formulation, and the data generated by scanning electron microscope and image analyser. The alogorithm considers the variation in shape and size of each particle. The number of mutually exclusive particles required for these measurements, to have an acceptable level of precision, has been statistically determined to be around 430. The number- and weight-average particle diameters, of the experimental PVC resin, were estimated to be 80.4 and 114.8 μm, respectively. The particle size uniformity index was found 1.43.

AB - Characterizing poly(vinyl chloride) (PVC) resin particles in terms of particulate morphology, shape and size distributions is important for various technical reasons. We describe a method that shows how these properties can be simultaneously measured using scanning electron microscopy and image analysis. A computer algorithm, which calculates the distributions, has been developed based on the present mathematical formulation, and the data generated by scanning electron microscope and image analyser. The alogorithm considers the variation in shape and size of each particle. The number of mutually exclusive particles required for these measurements, to have an acceptable level of precision, has been statistically determined to be around 430. The number- and weight-average particle diameters, of the experimental PVC resin, were estimated to be 80.4 and 114.8 μm, respectively. The particle size uniformity index was found 1.43.

UR - https://www.scopus.com/pages/publications/0026927781

U2 - 10.1016/0014-3057(92)90053-5

DO - 10.1016/0014-3057(92)90053-5

M3 - Article

AN - SCOPUS:0026927781

SN - 0014-3057

VL - 28

SP - 1039

EP - 1043

JO - European Polymer Journal

JF - European Polymer Journal

IS - 9

ER -

Measurement of shape and size distributions of PVC resin particles by scanning electron microscopy and image analysis

Abstract

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