Notice of RetractionAnalysis of non-equigap grey optimal model about smelting endpoint

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.