A mathematical model to control thermal stability of blast furnace using proactive thermal indicator

被引：11

作者：

Agrawal, Ashish ^{[1
]}

Agarwal, Mahesh K. ^{[2
]}

Kothari, Anil K. ^{[3
]}

Mallick, Santanu ^{[4
]}

机构：

[1] Tata Steel, Automat Div, Jamshedpur, Bihar, India

[2] Tata Steel, Blast Furnace Operat, Jamshedpur, Bihar, India

[3] Tata Steel, Head Iron & Coke Grp, Jamshedpur, Bihar, India

[4] Tata Steel, G BF, Jamshedpur, Bihar, India

来源：

IRONMAKING & STEELMAKING | 2019年 / 46卷 / 02期

关键词：

Blast furnace; heat content; thermal energy index; hot metal temperature; Si content; energy balance; METAL TEMPERATURE PREDICTION; SILICON CONTENT;

D O I：

10.1080/03019233.2017.1353765

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The determination of thermal condition of the blast furnace is necessary for various reasons, such as to facilitate the operation, maintain a stable furnace condition, predict heat or heat tendency of the furnace and predict hot metal temperature (HMT). It can become a tool for controlling the product quality of the blast furnace. This paper presents a mathematical model for estimating the thermal tendency of the blast furnace. The thermal condition of the blast furnace is represented as thermal energy index, wherein a high thermal energy index denotes heating up of furnace, while a low thermal energy index indicates chilling down of furnace. Using this model, one could hypothetically estimate the thermal condition of the blast furnace in real time. Thereby, corrective controllable actions can be taken on real time to attain the desired HMT before the arrival of actual hot metal analysis.

引用

页码：133 / 140

页数：8

共 12 条

[1] Real-time blast furnace hearth liquid level monitoring system
Agrawal, Ashish
Kor, Swapnil C.
Nandy, Utpal
Choudhary, Abhik R.
Tripathi, Vineet R.
[J]. IRONMAKING & STEELMAKING, 2016, 43 (07) : 550 - 558
[2] Prediction of silicon content in blast furnace hot metal using Partial Least Squares (PLS)
Bhattacharya, T
[J]. ISIJ INTERNATIONAL, 2005, 45 (12) : 1943 - 1945
[3] EXPERT SYSTEM FOR REAL-TIME CONTROL OF AN IRONMAKING REACTOR
CHEN, CL
HSIEH, CT
CHAO, YC
[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1992, 23 (01) : 17 - 35
[4] HATANO M, 1982, T IRON STEEL I JPN, V22, P524
[5] Blast furnace hot metal temperature prediction through neural networks-based models
Jiménez, J
Mochón, J
de Ayala, JS
Obeso, F
[J]. ISIJ INTERNATIONAL, 2004, 44 (03) : 573 - 580
[6] Hot metal temperature prediction in blast furnace using advanced model based on fuzzy logic tools
Martin, R. D.
Obeso, F.
Mochon, J.
Barea, R.
Jimenez, J.
[J]. IRONMAKING & STEELMAKING, 2007, 34 (03) : 241 - 247
[7] Pal J, 2004, J METALL MAT SCI, V46, P23
[8] Pandey B.D., 1996, TATA SEARCH, P58
[9] SAXEN H, 1994, CAN METALL QUART, V33, P319
[10] Nonlinear prediction of the hot metal silicon content in the blast furnace
Saxen, Henrik
Pettersson, Frank
[J]. ISIJ INTERNATIONAL, 2007, 47 (12) : 1732 - 1737

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