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2021 | OriginalPaper | Chapter

Hearth Monitoring of Blast Furnace Using Finite Element Analysis and Artificial Intelligence

Authors : Debi Prasad Ghosh, Bhaskar Sengupta, Shyam Krishna Maitra

Published in: Advances in Structural Technologies

Publisher: Springer Singapore

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Abstract

Hearth wear profile determines the life of a blast furnace, which is generally monitored by an inverse heat conduction analysis. Numerous thermocouples are embedded in the refractory lining and the temperature readings are used to access the wear profile of the hearth, which provides warnings about the infiltration of liquid iron through the refractory mass to the shell of the blast furnace. Because of the fatal nature of the consequences, accurate predictions about the profile of the inner refractory of the blast furnace are useful for initiating corrective action. This paper describes a method whereby the left out refractory lining profile is estimated as well as the thickness of the protective skull using finite element analysis and artificial intelligence. It serves as a guide to continue the operation of the furnace, to direct repair work to the critical areas, as well as to suggest the replacement of faulty sensors. In the effect, this method serves to increase the working life of blast furnaces.

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Title: Hearth Monitoring of Blast Furnace Using Finite Element Analysis and Artificial Intelligence
Authors: Debi Prasad Ghosh
Bhaskar Sengupta
Shyam Krishna Maitra
Publisher: Springer Singapore
Book: Advances in Structural Technologies
Print ISBN: 978-981-15-5234-2

Electronic ISBN: 978-981-15-5235-9

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-15-5235-9_29

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