Method for continuously predicting carbon content of converter molten pool

Abstract

The invention discloses a method for continuously predicting carbon content of a converter molten pool, which comprises data acquisition, raw material control, operation control and technical process and specifically comprises the following steps of: in the data acquisition, detecting converter gas flow by using a converter gas flow meter, transmitting all detection information to a computer through a data communication system, and analyzing and calculating the detection information through the following two mathematical models w[C]=0.1*(sigma Cori-sigma Cde)/ Wm (1); in the raw material control, controlling a waste steel ratio to be 8 to 13 percent, and controlling the weight percentage of light waste steel and heavy waste steel to be 14 to 70 percent; in the operation control, holding a fixed gun position and a fixed smoke hood in 2 to 3 minutes before finishing blowing; and in the technical process, ensuring that the carbon content of the molten pool meets the formula (1) when the oxygen blowing amount accounts for less than or equal to 75 percent of the total oxygen blowing amount and the carbon content of the molten pool meets the formula (2) when the oxygen blowing amount accounts for over 75 percent of the total oxygen blowing amount. The method fulfills the purpose of continuously predicting the carbon content of the converter molten pool by combining the mathematical models and the technical process.

Description

technical field The invention relates to a processing method for predicting carbon content in a steelmaking process, in particular to a method for continuously predicting carbon content in a melting pool during a converter smelting process. Background technique Two methods, static model control and dynamic model control, are commonly used in the control process of converter steelmaking. No matter what kind of control method it is, it needs accurate raw furnace data and process inspection data. Among them, the raw data of the furnace is determined by the specific actual conditions of each steelmaking plant, and it is difficult to achieve substantial improvement and change within a certain period of time. important. One of the key tasks of converter steelmaking is carbon determination. How to obtain the change of the carbon content of the melt pool during the blowing process quickly, accurately and at low cost has great practical significance and economic value. In the pr...

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Problems solved by technology

The above methods are all focused on the research of detection means, relying too much on the mathematical model calculated by using the detection data, and the literature materials that have been found have not made regulations on raw material control, such as the type and proportion of scrap steel, nor on the process. Explain the control process, such as the control of the gun position and the amount of oxygen blowing, and these are important factors affecting the carbon hit at the end point. The mathematical model must be combined with the actual process control to play its due role

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