Mohammad Reza Ameri Siahuei, Mohammad Ataei, Farhang Sereshki
{"title":"煤粉粒度分布和配煤比对焦炭质量影响的研究","authors":"Mohammad Reza Ameri Siahuei, Mohammad Ataei, Farhang Sereshki","doi":"10.3103/S1068364X25600289","DOIUrl":null,"url":null,"abstract":"<p>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 (<i>R</i><sup>2</sup>) 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.</p>","PeriodicalId":519,"journal":{"name":"Coke and Chemistry","volume":"68 3","pages":"263 - 282"},"PeriodicalIF":0.5000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insight into the Interaction of Coal Particle Size Distribution and Blending Ratio on Coke Quality\",\"authors\":\"Mohammad Reza Ameri Siahuei, Mohammad Ataei, Farhang Sereshki\",\"doi\":\"10.3103/S1068364X25600289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 (<i>R</i><sup>2</sup>) 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.</p>\",\"PeriodicalId\":519,\"journal\":{\"name\":\"Coke and Chemistry\",\"volume\":\"68 3\",\"pages\":\"263 - 282\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Coke and Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S1068364X25600289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Coke and Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1068364X25600289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
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.
期刊介绍:
The journal publishes scientific developments and applications in the field of coal beneficiation and preparation for coking, coking processes, design of coking ovens and equipment, by-product recovery, automation of technological processes, ecology and economics. It also presents indispensable information on the scientific events devoted to thermal rectification, use of smokeless coal as an energy source, and manufacture of different liquid and solid chemical products.