Open AccessEvaluation of nano‐filler dispersion quality in polymeric films with binary feature characteristics and fractal analysis
Author(s) -
Yildiz Kazim,
Yildiz Zehra
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2019.1512
Subject(s) - materials science , fractal analysis , fractal dimension , thermogravimetric analysis , dispersion (optics) , thresholding , fractal , binary image , nano , nanocomposite , composite material , image processing , optics , computer science , mathematics , artificial intelligence , image (mathematics) , chemical engineering , physics , mathematical analysis , engineering
This study investigates the use of binary features and fractal dimension analysis to evaluate the dispersion quality of nanofillers in thin polymeric films by using light microscopy images. For this purpose, polymeric films were cast with the inclusion of various montmorillonite (MMT) nanofiller amounts. Then the light microscopy images were captured from the polymeric films then preprocessed for the evaluation. Thresholding process was applied to the obtained images for each nanofiller percentage level. The obtained binary level images were used in the feature extraction process with binary statistics and fractal dimension. Thermogravimetric analysis (TGA) was used to evaluate the flame resist behaviour of polymeric films based on the dispersion quality of nanofillers. The samples with various nanofiller contents were tested using the image processing method and the results were all compared with the TGA results. The results obtained by the feature extraction process and TGA, about the dispersion quality of nanofillers, were all in good agreement.