DocumentCode
530790
Title
Notice of Retraction
Analysis of non-equigap grey optimal model about smelting endpoint
Author
Yufeng Lian ; Wen You ; Xuesheng Feng
Author_Institution
Coll. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
Volume
3
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
112
Lastpage
115
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
During the decarburization process of smelting steel and iron, not only carbon content is difficult to be detected on-line for smelting conditions, but also there are too many uncertain factors, so the endpoint control is still difficult to be accurately determined in time. For this, non-equigap grey optimal model is given to predict carbon content during the decarburization process of smelting steel and iron. Simulation results show that the non-equigap grey optimal model which is established with data in AOD smelting process has the high fitting precision and high prediction precision, and the relative error is between -6.40% and 3.06%. Carbon content can be predicted well in real time with non-equigap grey optimal model.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
During the decarburization process of smelting steel and iron, not only carbon content is difficult to be detected on-line for smelting conditions, but also there are too many uncertain factors, so the endpoint control is still difficult to be accurately determined in time. For this, non-equigap grey optimal model is given to predict carbon content during the decarburization process of smelting steel and iron. Simulation results show that the non-equigap grey optimal model which is established with data in AOD smelting process has the high fitting precision and high prediction precision, and the relative error is between -6.40% and 3.06%. Carbon content can be predicted well in real time with non-equigap grey optimal model.
Keywords
carbon; grey systems; smelting; steel; carbon content prediction; decarburization process; iron smelting; nonequigap grey optimal model; smelting endpoint; steel smelting; Analytical models; Equations; Mathematical model; Predictive models; endpoint control; fitting precision; non-equigap grey optimal model; prediction precision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610373
Filename
5610373
Link To Document