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Main Authors: Chakrabarty, Arijit, Tripathi, Aman, Kumar, Vimod, Tripathi, Anurag, Agarwal, Arpit, Singh, Vishwaraj, Basu, Saprativ, Nag, Samik
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.13151
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author Chakrabarty, Arijit
Tripathi, Aman
Kumar, Vimod
Tripathi, Anurag
Agarwal, Arpit
Singh, Vishwaraj
Basu, Saprativ
Nag, Samik
author_facet Chakrabarty, Arijit
Tripathi, Aman
Kumar, Vimod
Tripathi, Anurag
Agarwal, Arpit
Singh, Vishwaraj
Basu, Saprativ
Nag, Samik
contents In this study, we attempt to characterize the shape of three different types of grains commonly used in the iron and steel-making industry, namely pellet, sinter and iron ore lump. We choose particles over the entire size ranges used in industrial-scale blast furnace and consider two different size ranges of pellet particles and four different size ranges for sinter and iron ore lumps. We perform image analysis to calculate size and shape-related properties of the grains. We select some of the common length scales used to measure the size of the particles and categorize them in different classes. We show that the length scales of a particular category class are well correlated with each other. We identify the independent, uncorrelated length scales for the particles from different categories. Using these uncorrelated length scales, we define different shape descriptors and obtain the distribution of these shape descriptors for each component of the blast furnace feed. Our image analysis results show that the cumulative distribution curves for these shape descriptors turn out to be nearly independent of the size range for a given type of material. Our study identifies the three key shape descriptors that are required to characterize the shape of the blast furnace feed. Two of these shape descriptors, namely the aspect ratio and the circularity, have been considered important by the researchers earlier as well. The third shape descriptor, the average contact eccentricity to the projected particle diameter ratio, usually not considered to be an important shape descriptor in previous studies, is of high relevance for Discrete Element Method simulations of granular materials.
format Preprint
id arxiv_https___arxiv_org_abs_2511_13151
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Shape Characterization of Ferrous Burden Material of Blast Furnace Feed using Image Analysis
Chakrabarty, Arijit
Tripathi, Aman
Kumar, Vimod
Tripathi, Anurag
Agarwal, Arpit
Singh, Vishwaraj
Basu, Saprativ
Nag, Samik
Soft Condensed Matter
In this study, we attempt to characterize the shape of three different types of grains commonly used in the iron and steel-making industry, namely pellet, sinter and iron ore lump. We choose particles over the entire size ranges used in industrial-scale blast furnace and consider two different size ranges of pellet particles and four different size ranges for sinter and iron ore lumps. We perform image analysis to calculate size and shape-related properties of the grains. We select some of the common length scales used to measure the size of the particles and categorize them in different classes. We show that the length scales of a particular category class are well correlated with each other. We identify the independent, uncorrelated length scales for the particles from different categories. Using these uncorrelated length scales, we define different shape descriptors and obtain the distribution of these shape descriptors for each component of the blast furnace feed. Our image analysis results show that the cumulative distribution curves for these shape descriptors turn out to be nearly independent of the size range for a given type of material. Our study identifies the three key shape descriptors that are required to characterize the shape of the blast furnace feed. Two of these shape descriptors, namely the aspect ratio and the circularity, have been considered important by the researchers earlier as well. The third shape descriptor, the average contact eccentricity to the projected particle diameter ratio, usually not considered to be an important shape descriptor in previous studies, is of high relevance for Discrete Element Method simulations of granular materials.
title Shape Characterization of Ferrous Burden Material of Blast Furnace Feed using Image Analysis
topic Soft Condensed Matter
url https://arxiv.org/abs/2511.13151