000			01513nam a22002177a 4500
100			_aKallungal, J.
245			_aQUANTITATIVE ANALYSIS OF CARBON BLACK AGGLOMERATES MORPHOLOGY IN ELASTOMER COMPOSITES BASED ON X-RAY TOMOGRAPHY BY MEANS OF NUMERICAL CLUSTERING
260			_bRubber Chemistry and Technology, 96(1): 2023. 90-113. _c2023
520			_aA novel methodology for characterizing the morphology distribution of filler agglomerates in elastomer composites is presented based on laboratory-sourced X-ray tomography. Various feature extraction methods (via, e.g., image-processing filters, segmentation) and selection tools (Spearman's rank correlation coefficient) combined with K-means unsupervised clustering algorithm were developed for identifying the distinct morphological classes in model materials (carbon-filled ethylene propylene diene monomer rubber). The interest of this methodology was demonstrated by precisely differentiating the materials compounded with different processing parameters. For instance, in this example, thanks to this analysis, it was found that introducing the filler before the elastomer in internal mixer tends to favor more structured agglomerates.
650			_aCarbon black
650			_aElastomer composites
700			_aChazeau, L
700			_aChenal, J.M.
700			_aAdrien, J
700			_aMaire, E
700			_aBarres, C.
700			_aCantaloube, B.
700			_aHeuillet, P.
856			_uhttps://doi.org/10.5254/rct.22.77979
942			_cJS
999			_c75312 _d75312