Application of Time Series Analysis for the Prediction of Liquid Metal Height in Basic Oxygen Furnace

6 Pages Posted: 15 Aug 2019

See all articles by Rituparna

Rituparna

NIT Jamshedpur

Sreenivas

Tata Steel

Umesh Kumar

Tata Steel

Rishab

Tata Steel

Saroj Kumar

Tata Steel

Malay Niraj

NIT Jamshedpur

Mani Kant

NIT Jamshedpur

Date Written: August 15, 2019

Abstract

In basic oxygen steelmaking (BOF), lance profile during the blow is very important as it impacts the oxygen impingement, which results in variation of the oxidation reactions with impurities like carbon (C), silicon (Si), manganese (Mn), and phosphorus (P). Improper measurements or estimations of initial bath height of the lance impairs the steel quality as well as the vessel refractory lining. Hence, estimation of the initial bath height is very crucial for efficient steel making operations. In Tata Steel, Jamshedpur, a 3D Laser profile measurement system is employed for evaluating the inner profile of the refractory lining of the BOF vessel. In this investigation, we developed a mathematical model which takes the inner profile data as input and estimates the bath height of the hot metal. Further, a 3D geometric model using CATIA software is designed to compare the findings of the above mentioned mathematical model. Results of the mathematical model are in agreement with the values of the 3D geometric model. Mathematical model estimations are validated with two different data sets. First data set is obtained from dip-stick measurements and the second data set is obtained from sublance (a tool used in BOF) data estimations. In the dip-stick measurements, a wire rod is tied to the lance and is immersed into the liquid pool. From the mark on the wire rod, the bath height is measured. sublance, a mechanical lance system, evaluates the bath height using the temperature and oxygen activity differences between slag and hot metal. The prediction from the mathematical model showed good agreement with the two validation data sets. Further, a time series model has been developed using a total of 150 batches belonging to one campaign. The aim of the time series model is to predict the bath heights for the upcoming batches in the absence of any measurement data. The predictions of the time series model are in excellent agreement with the plant measurements.

Keywords: Basic oxygen furnace, Bath height estimation, Time series modelling, Laser profile measurement, Sublance, Lance profile

Suggested Citation

Biswas, Rituparna and P S, Sreenivas and Singh, Umesh Kumar and Singh, Rishab and Singh, Saroj Kumar and Niraj, Malay and Paswan, Mani Kant, Application of Time Series Analysis for the Prediction of Liquid Metal Height in Basic Oxygen Furnace (August 15, 2019). In proceedings of the International Conference on Systems, Energy & Environment (ICSEE) 2019, GCE Kannur, Kerala, July 2019. Available at SSRN: https://ssrn.com/abstract=3437624 or http://dx.doi.org/10.2139/ssrn.3437624

Rituparna Biswas (Contact Author)

NIT Jamshedpur ( email )

Jamshedpur
India

Sreenivas P S

Tata Steel ( email )

Jamshedpur
India

Umesh Kumar Singh

Tata Steel ( email )

Jamshedpur
India

Rishab Singh

Tata Steel ( email )

Jamshedpur
India

Saroj Kumar Singh

Tata Steel ( email )

Jamshedpur
India

Malay Niraj

NIT Jamshedpur ( email )

Jamshedpur
India

Mani Kant Paswan

NIT Jamshedpur ( email )

Jamshedpur
India

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