煤粉粒度分布和配煤比对焦炭质量影响的研究

IF 0.5 Q4 ENGINEERING, CHEMICAL
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,&nbsp;Mohammad Ataei,&nbsp;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,&nbsp;Mohammad Ataei,&nbsp;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}
引用次数: 0

摘要

在钢铁工业中,焦炭是制造高炉透气性的燃料和主要支撑。它是由各种类型的煤混合而成的。因此,研究煤的特性和制备参数与焦炭质量的关系是十分必要的。焦炭的织构和平均粒度是焦炭的关键结构指标,也影响着所制焦炭的反应性能和强度。在本研究中,对三种伊朗煤的焦炭结构指标、煤的内在性质和选煤参数之间的关系进行了评价。回归分析和Design Expert软件用于此目的。为了更好地理解煤的内在特性和活性特性之间的关系。FTIR, XRF和SEM分析。回归分析揭示了煤的四种内在性质之间的相关性。挥发分、固定碳含量和显微成分)和两个关键的焦炭结构指标(孔隙数和焦炭孔隙率)。测定系数(R2)最高的是脂质岩含量与孔隙数(0.94)和孔隙率(0.87)的关系。此外,配煤比例的研究表明,当颗粒尺寸更细时,高惰性煤含量的煤对气孔数量和气孔率的控制更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Coke and Chemistry
Coke and Chemistry ENGINEERING, CHEMICAL-
CiteScore
0.70
自引率
50.00%
发文量
36
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信