Prediction of Coke CSR from Ash Chemistry of Coal Blend

被引：21

作者：

Nag, Debjani ^{[1
]}

Haldar, S. K. ^{[1
]}

Choudhary, P. K. ^{[1
]}

Banerjee, P. K. ^{[1
]}

机构：

[1] Tata Steel, R&D Div, Jamshedpur 831001, Jharkhand, India

来源：

INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION | 2009年 / 29卷 / 05期

关键词：

Ash chemistry; Coke reactivity index (CRI); Modified basicity index (MBI); Strength after reaction (CSR); QUALITY;

D O I：

10.1080/19392690903218117

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Coke reactivity index (CRI) and coke strength after reaction (CSR) are the most important parameters used to assess the blast-furnace coke quality. The present work describes the possibility of estimating CSR for coke from ash chemistry of coal blends. For development and validation of the regression model, data obtained from the Tata Steel's coke oven battery numbers 8 and 9 were utilized. It was found that CSR is greatly influenced by coal ash chemistry.

引用

页码：243 / 250

页数：8

共 18 条

[1] Understanding the Impact of Coal Blend Properties on the Coke Strength
Ghosh, B.
Sahoo, B. K.
Jha, P. K.
Kushwaha, S. K.
Chakraborty, B.
Manjhi, K. K.
COKE AND CHEMISTRY, 2022, 65 (07) : 253 - 260
[2] Effect of plastic range and ash chemistry on hot strength properties of coke
Jha, Praveen K.
Singh, Pramod K.
Kushwaha, Santosh
Manjhi, K. K.
Subramanian, G. S., V
IRONMAKING & STEELMAKING, 2020, 47 (08) : 925 - 928
[3] Relationship between coal ash chemistry and electrostatic precipitator opacity
Gentzis, T
Goodarzi, F
ENERGY SOURCES, 1996, 18 (05): : 585 - 600
[4] Investigation into the effects of ash-free coal binder and torrefied biomass addition on coke strength and reactivity
Kim, Gyeong-Min
Lisandy, Kevin Yohanes
Isworo, Yanuar Yudhi
Kim, Jin-Ho
Jeon, Chung-Hwan
FUEL, 2018, 212 : 487 - 497
[5] Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach
Lauren A. North
Karen L. Blackmore
Keith V. Nesbitt
Kim Hockings
Merrick R. Mahoney
International Journal of Coal Science & Technology, 2019, 6 : 207 - 217
[6] Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach
North, Lauren A.
Blackmore, Karen L.
Nesbitt, Keith V.
Hockings, Kim
Mahoney, Merrick R.
INTERNATIONAL JOURNAL OF COAL SCIENCE & TECHNOLOGY, 2019, 6 (02) : 207 - 217
[7] Better Use of Enriched UK Mezhegeyugol Coal in Coking Batch. 2. Composition of Concentrate Fractions and Coke Quality (CSR and CRI)
Zolotukhin, Y. A.
Andreichikov, N. S.
Kraskovskaya, T. F.
Berkutov, N. A.
Kupriyanova, S. N.
Kuprygin, V. V.
COKE AND CHEMISTRY, 2020, 63 (10) : 455 - 472
[8] Better Use of Enriched UK Mezhegeyugol Coal in Coking Batch. 2. Composition of Concentrate Fractions and Coke Quality (CSR and CRI)
Y. A. Zolotukhin
N. S. Andreichikov
T. F. Kraskovskaya
N. A. Berkutov
S. N. Kupriyanova
V. V. Kuprygin
Coke and Chemistry, 2020, 63 : 455 - 472
[9] Bio-coal and bio-coke production from agro residues
Ahmad, Khwaja Alamgir
Ahmad, Ejaz
Al Mesfer, Mohammed K.
Nigam, K. D. P.
CHEMICAL ENGINEERING JOURNAL, 2023, 473
[10] Prediction of the Performance of On-line Ash Analyzers Used in the Quality Control Process of a Coal Mining System
Galetakis, M.
Alevizos, G.
Pavloudakis, F.
Roumpos, C.
Kavouridis, C.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2009, 31 (13) : 1115 - 1130

← 1 2 →