A Real Time Model For Prediction Of Blast Furnace Hot Temperature Through Neural Network
IR@NML: CSIR-National Metallurgical Laboratory, Jamshedpur
View Archive Info| Field | Value | |
| Title |
A Real Time Model For Prediction Of Blast Furnace Hot
Temperature Through Neural Network
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| Creator |
Kumar, Avinash
Mrunmaya, K P Maharana, Sudeep Chowdhury, Subrata Kumar Sah, Rameshwar Kaza, Marutiram |
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| Subject |
Materials Science
Metallurgy |
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| Description |
The thermodynamic processes inside the Blast Furnace are very complex and it’s ex difficult to analyze the ongoing process through physical measurements. The same can be estimated by monitoring measurable parameters which represent and indicate the state of the furnace. The hot metal and slag temperature, hot metal and slag chemical a
blast temperature and volume are some of the parameters which have a bearing on the state of the furnace. Hot metal temperature is an important factor that not only depicts
of the furnace but also determines the quality of pig iron. Hence, aiming at maintenconsistent the hot metaltemperature to achieve a stable operation of the furnace iso importance. Neural networks are parallel machines that have the ability to build and define relationships between various parameters and are self-learning to dynamically respon variations in operating conditions. The neural networks are capable of generating linear as nonlinear relationship between the parameters. This paper describes the approach adestimate the blast furnace parameters denoting the internal conditions which can ser guide line to the operator to take corrective actions in order to maintain smooth operatiofurnace and consistent production. The model developed has been tested and validated o
periods with online data from furnace instrumentation to build the reliability of the preThe model is then integrated with the blast furnace automation to predict the Hotemperature in real time. The accuracy of prediction achieved is more than 90 %.
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| Date |
2013-12
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://eprints.nmlindia.org/7076/1/Avinash_JSW_IM-19_67.pdf
Kumar, Avinash and Mrunmaya, K P and Maharana, Sudeep and Chowdhury, Subrata Kumar and Sah, Rameshwar and Kaza, Marutiram (2013) A Real Time Model For Prediction Of Blast Furnace Hot Temperature Through Neural Network. In: Proceeding of the International conference on science and technology of iron making and steel making , December 16-18, 2013, CSIR-NML Jamshedpur. |
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| Relation |
http://eprints.nmlindia.org/7076
http://eprints.nmlindia.org/7076/ |
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