For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Size Effect of Recycled Material to Tensile Properties of PC
p.278
Injection Molding of Rubber Compound Influenced by Injection Mold Surface Roughness
p.283
Particulate Composites with Wastes from Treated Wood and Tire Rubber
p.288
Effect of Linear Sliding Speed on Wear Behavior of Al2O3/TiC Ceramic Composite and Diamond Slicing Blade
p.292
Temperature Prediction at the Blow End of the Converter via Control Model
p.298
Wear Response of Composition-Modulated Multilayer Ni-W Coatings
p.302
Study of Weld Hardness of Pipes at Elevated Temperature Application in Power Plants
p.310
Cutting Ceramic Materials: Influence of Abrasive Machining and Coating Deposition on the Performance Potential
p.317
Effect of Temperature on Deactivation Force of Three Commercial NiTi Orthodontic Archwires
p.325

Temperature Prediction at the Blow End of the Converter via Control Model

Article Preview

Abstract:

In the present work, a technique and model for temperature prediction at the blow end are briefly discussed, along with their limitations and perspectives for application. As a result of this analysis, a mathematical model based in heat and mass balances has been developed with a view to evaluating the possibility of improving this prediction capability. The study here presented focuses the development of a semi-dynamic control model in the LD-KGC converter (Linz-Donawitz-Kawasaki Gas Control Converter). The control model enables one to predict the temperature of the blow end by solving both the energy and mass equations. The inputs to the control model are the load data of the LD-KGC converter at the blow beginning and the collected data by the lance to 89% of oxygen blow. The results obtained in the present work were compared to the data measured in steelmaking. The semi-dynamic control model results agree well with data for LD-KGC converters.

You might also be interested in these eBooks
Advanced Materials, Structures and Mechanical Engineering View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1025-1026)

Pages:

298-301

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1025-1026.298

Citation:

Cite this paper

Online since:

September 2014

Authors:

Alexandre Furtado Ferreira*

Keywords:

Control Model, Converter, Steelmaking

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] E. T. Turkdogan: Fundamentals of Steelmaking, The Institute of Materials, (1996).

Google Scholar

[2] H. Suito and R. Inoue: Tran. ISIJ Vol. 24, No. 1 (1984), p.46.

Google Scholar

[3] H. Suito and R. Inoue: Tran. ISIJ Vol. 35, No. 1 (1995), p.271.

Google Scholar

[4] B. Deo and R. Boom: Fundamentals of Steelmaking Metallurgy, Prentice Hall, (1993).

Google Scholar

[5] R. D. Pehlke, W. F. Porter and R. F. Urban: Basic Oxygen Furnace Steelmaking, Iron and Steel Society of the American Institute of Mining, (1977).

Google Scholar

[6] H. Nashiwa, T. Adachi, T. Okazaki and K. Ieda: Ironmak. & Steelmak., Vol. 1, No. 2 (1981), p.266.

Google Scholar

[7] R. G. Ward: An Introduction to the Physical Chemistry of Iron and Steelmaking, St. Martin´s Press, (1962).

Google Scholar

[8] G. Healy: J. Iron Steel Inst., Vol. 5, No. 3 (1970), p.664.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.