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Zone modelling coupled with dynamic flow pattern for the prediction of transient performance of metal reheating
University of South Wales.
RISE, Swerea, Swerea MEFOS.
Tata Steel R and D Swinden Technology Centre.
Tata Steel R and D Swinden Technology Centre.
Show others and affiliations
2014 (English)In: AISTech - Iron and Steel Technology Conference Proceedings, Association for Iron and Steel Technology, AISTECH , 2014, Vol. 3, p. 3395-3408Conference paper, Published paper (Refereed)
Abstract [en]

Relatively robust predictive models for the steel reheating processes are crucial for efficient control and optimisation of reheat furnace operation while ensuring good quality of the heated products. This paper describes the development of a two-dimensional (2D) mathematical model, based on the zone method of radiation analysis, which is capable of simulating the thermal performance of a walking-beam reheating furnace, such as the temperature distribution inside the furnace and the heated stock. The models were initially validated using experimental data supplied by Swerea MEFOS, Sweden. The validated models were further used to investigate changes in the furnace operating conditions, such as production rates and production delay. The results show that the model predictions are in agreement with the measured data and that the model can reasonably respond to the changes in different operating conditions. The developed model has the potential to predict durations of furnace operation of a thousand times faster than the actual run time, and it also demonstrates the feasibility and practicality for incorporation into a model based furnace control system. © 2014 by AIST.

Place, publisher, year, edition, pages
Association for Iron and Steel Technology, AISTECH , 2014. Vol. 3, p. 3395-3408
Series
AISTECH : Iron & Steel Technology conference proceedings, ISSN 1551-6997
Keywords [en]
Control strategy, Dynamic model, Heat transfer, Reheating furnace, Zone method
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:ri:diva-13450Scopus ID: 2-s2.0-84905845549ISBN: 9781935117421 (print)OAI: oai:DiVA.org:ri-13450DiVA, id: diva2:973659
Conference
AISTech 2014 Iron and Steel Technology Conference
Available from: 2016-09-22 Created: 2016-09-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
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  • Other locale
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Output format
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