Influence of coke structure on coke quality using image analysis method
Abstract The quality of coke affects the performance of the blast furnace, factors affecting coke quality include coal properties, coal charge granulometry and carbonization conditions. The coke properties include the size analysis, cold strength (Micum Indices-M40, M10) and hot strength (Coke React...
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Format: | Article |
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SpringerOpen
2018-11-01
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Series: | International Journal of Coal Science & Technology |
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Online Access: | http://link.springer.com/article/10.1007/s40789-018-0227-0 |
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author | B. Ghosh B. K. Sahoo B. Chakraborty K. K. Manjhi S. K. Das J. N. Sahu Atul K. Varma |
author_facet | B. Ghosh B. K. Sahoo B. Chakraborty K. K. Manjhi S. K. Das J. N. Sahu Atul K. Varma |
author_sort | B. Ghosh |
collection | DOAJ |
description | Abstract The quality of coke affects the performance of the blast furnace, factors affecting coke quality include coal properties, coal charge granulometry and carbonization conditions. The coke properties include the size analysis, cold strength (Micum Indices-M40, M10) and hot strength (Coke Reactivity Index-CRI, Coke Strength after Reaction-CSR) properties and structural properties such as coke structure and texture. Structural properties comprise the porosity, pore-cell wall thickness and pore sizes, while textures consist of the carbon forms in the coke. In present work, advanced method such as image analysis method was used to interpret coke microstructure. Conventional methods such as determination of coke porosity by measurement of real and apparent density and mercury porosimetry have a number of limitations. Coke size, magnification, number of image frames captured, process of pellet preparations and coke properties such as M40, M10, CRI and CSR (low, medium and high values) were taken as variables for experimental purposes. The coke structure parameters such as porosity, length, perimeter, breadth, roundness, pore-wall thickness and pore size distribution of the pores were determined by image analysis method. This method provided average porosity in addition to pore-wall thickness and pore-size distribution. The pore wall thickness measurement by image analysis method provided significant correlations with M40, CRI and CSR values. This explained the usability of image analysis for coke structure measurement. |
first_indexed | 2024-12-20T14:27:07Z |
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institution | Directory Open Access Journal |
issn | 2095-8293 2198-7823 |
language | English |
last_indexed | 2024-12-20T14:27:07Z |
publishDate | 2018-11-01 |
publisher | SpringerOpen |
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series | International Journal of Coal Science & Technology |
spelling | doaj.art-0bcb0a93b70140fca138354737fd171b2022-12-21T19:37:45ZengSpringerOpenInternational Journal of Coal Science & Technology2095-82932198-78232018-11-015447348510.1007/s40789-018-0227-0Influence of coke structure on coke quality using image analysis methodB. Ghosh0B. K. Sahoo1B. Chakraborty2K. K. Manjhi3S. K. Das4J. N. Sahu5Atul K. Varma6Research & Development Centre for Iron and Steel, Steel Authority of India Limited (SAIL)Research & Development Centre for Iron and Steel, Steel Authority of India Limited (SAIL)Research & Development Centre for Iron and Steel, Steel Authority of India Limited (SAIL)Research & Development Centre for Iron and Steel, Steel Authority of India Limited (SAIL)Research & Development Centre for Iron and Steel, Steel Authority of India Limited (SAIL)Institute of Chemical Technology, Faculty of Chemistry, University of StuttgartCoal Geology and Organic Petrology Laboratory, Department of Applied Geology, IIT, Indian School of Mines (ISM)Abstract The quality of coke affects the performance of the blast furnace, factors affecting coke quality include coal properties, coal charge granulometry and carbonization conditions. The coke properties include the size analysis, cold strength (Micum Indices-M40, M10) and hot strength (Coke Reactivity Index-CRI, Coke Strength after Reaction-CSR) properties and structural properties such as coke structure and texture. Structural properties comprise the porosity, pore-cell wall thickness and pore sizes, while textures consist of the carbon forms in the coke. In present work, advanced method such as image analysis method was used to interpret coke microstructure. Conventional methods such as determination of coke porosity by measurement of real and apparent density and mercury porosimetry have a number of limitations. Coke size, magnification, number of image frames captured, process of pellet preparations and coke properties such as M40, M10, CRI and CSR (low, medium and high values) were taken as variables for experimental purposes. The coke structure parameters such as porosity, length, perimeter, breadth, roundness, pore-wall thickness and pore size distribution of the pores were determined by image analysis method. This method provided average porosity in addition to pore-wall thickness and pore-size distribution. The pore wall thickness measurement by image analysis method provided significant correlations with M40, CRI and CSR values. This explained the usability of image analysis for coke structure measurement.http://link.springer.com/article/10.1007/s40789-018-0227-0Image analysisCoke structurePorosityMicro structureRoundnessPore wall thickness |
spellingShingle | B. Ghosh B. K. Sahoo B. Chakraborty K. K. Manjhi S. K. Das J. N. Sahu Atul K. Varma Influence of coke structure on coke quality using image analysis method International Journal of Coal Science & Technology Image analysis Coke structure Porosity Micro structure Roundness Pore wall thickness |
title | Influence of coke structure on coke quality using image analysis method |
title_full | Influence of coke structure on coke quality using image analysis method |
title_fullStr | Influence of coke structure on coke quality using image analysis method |
title_full_unstemmed | Influence of coke structure on coke quality using image analysis method |
title_short | Influence of coke structure on coke quality using image analysis method |
title_sort | influence of coke structure on coke quality using image analysis method |
topic | Image analysis Coke structure Porosity Micro structure Roundness Pore wall thickness |
url | http://link.springer.com/article/10.1007/s40789-018-0227-0 |
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