Insight into the Interaction of Coal Particle Size Distribution and Blending Ratio on Coke Quality

Coke is the fuel and main support for creating permeability in the blast furnace in the steel industry. It is produced by blending various types of coal. Therefore, studying the relationships between the intrinsic properties and preparation parameters of coal with the quality of the resulting coke is essential. Coke texture and mean size are the critical structural indicators of cokin, which also influence the reactive properties and Strength of the produced coke. In this study, the relationship between coke texture indices, the intrinsic properties of coal, and coal preparation parameters was evaluated for three types of Iranian coal. Regression analysis and Design Expert software were utilized for this purpose. To better understand the relationships between coal’s intrinsic properties and its reactive characteristics. FTIR, XRF, and SEM analyses were conducted. Regression analysis revealed correlations between four intrinsic properties of coal (ash content. volatile matter, fixed carbon content, and maceral composition) and two key coke texture indicators (pore count and coke porosity). The highest coefficient of determination (R2) values were observed in the relationships between liptinite content and pore count (0.94) and between liptinite content and porosity percentage (0.87). Additionally, the study on coal blending ratios demonstrated that coal with a higher inertinite content exerted greater control over the number of pores and the porosity percentage of the produced coke when present in finer particle sizes.

Authors

Institutions

Publication Details

Journal
Coke and Chemistry
Published
2025-03-01
DOI
https://doi.org/10.3103/s1068364x25600289
Citations
1
Primary Topic
Coal and Coke Industries Research
Type
article
Field-Weighted Citation Impact
2.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insight into the Interaction of Coal Particle Size Distribution and Blending Ratio on Coke Quality

Farhang Sereshki, Mohammad Ataei, Mohammad Reza Ameri Siahuei
1 citations
Coke and Chemistry
Coal and Coke Industries Research
2.70
article

Insight into the Interaction of Coal Particle Size Distribution and Blending Ratio on Coke Quality

Farhang Sereshki, Mohammad Ataei, Mohammad Reza Ameri Siahuei
article en
1 citations

Abstract

Coke is the fuel and main support for creating permeability in the blast furnace in the steel industry. It is produced by blending various types of coal. Therefore, studying the relationships between the intrinsic properties and preparation parameters of coal with the quality of the resulting coke is essential. Coke texture and mean size are the critical structural indicators of cokin, which also influence the reactive properties and Strength of the produced coke. In this study, the relationship between coke texture indices, the intrinsic properties of coal, and coal preparation parameters was evaluated for three types of Iranian coal. Regression analysis and Design Expert software were utilized for this purpose. To better understand the relationships between coal’s intrinsic properties and its reactive characteristics. FTIR, XRF, and SEM analyses were conducted. Regression analysis revealed correlations between four intrinsic properties of coal (ash content. volatile matter, fixed carbon content, and maceral composition) and two key coke texture indicators (pore count and coke porosity). The highest coefficient of determination (R2) values were observed in the relationships between liptinite content and pore count (0.94) and between liptinite content and porosity percentage (0.87). Additionally, the study on coal blending ratios demonstrated that coal with a higher inertinite content exerted greater control over the number of pores and the porosity percentage of the produced coke when present in finer particle sizes.

Coke and ChemistryVol. 68(3)
University of Shahrood (IR)
Openalex Percentile: Top 11%
Coal and Coke Industries Research
2.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.