|
|
Physical and numerical modelling of steel process optimization
By Julio Aníbal Morales Pereira, Magda Galant François, Leonardo Barboza Trindade, and Antônio Cezar Faria Vilela
Slag, reverse emulsification, slag eye, ladle metallurgy, gas stirring, physical model, mathematical model
The influence of operational variables (such as gas flow rate, gas injection position and slag layer thickness) on phenomena like emulsification and slag-eye opening behaviour was studied with the help of a physical and mathematical model of an argon-stirred ladle, ellipse shaped and in reduced scale. Experiments on the physical model were carried out using water and kerosene simulating the steel and the slag, respectively. Such experiments were recorded on video. The same conditions and fluids employed in the physical model were simulated in the numerical model.
In addition, make sure to read these articles:
On the possibility of cold deformation of medium-carbon low-alloy steel strengthened by bainitic transformation
Steel VIP - Pierre Gugliermina, Chief Technology Officer, ArcelorMittal
Evolution of the temperature profile of a controlled cooled rod section under varying durations of water quenching
Continuous success of DC EAF power supplies
Non-metallic inclusions and their distribution in the ladle before and after vacuum treatment of tool steel
Rheological model for microalloyed steels in a wide range of temperatures
Innovations in temperature controlled rolling in combination with expert systems
Physical and numerical modelling of steel process optimization
Modern charge design calculation using a computer-aided programme package
Mathematical model of deformation of round bars in a rectangular roll pass
|
top of page
back
Tell a friend
print
read times
© 2007 GRIPS media GmbH All rights reserved. Reproduction in whole or in part without permission is prohibited.
|
|
All external sites will open in a new browser.
GRIPS media does not endorse external sites.
|
|