It was suggested that foundry enterprises sould create digital iron melt temperature control system to ensure stable production of high quality castings.

The technique can exactly measure temperature of molten iron, reduce wave of temperature of BF.

The temperature of molten iron was 1350～1400℃ and the carbon pick up time was 15 minutes.

Temperature,chemical composition and purity are three quality indexes of the base iron melt for high grade gray irons production,and among them,iron tapping temperature is the main factor determining the quality of the iron melt.

This article was about the determination of the same sample's absorbent on the condition of different solution temperature, different still time and different water bath temperature,From it we could prove that the result was relative to different experiment conditions.

Soft-sensing model of copper liquid temperature in copper refining process and its application;

Soft-sensing model for copper liquid temperature of heat preservation phase in copper refining rotary anode furnace and its application;

By optimizing the technological regulation,importing real-time monitoring,strengthening the management,the molten steel temperature stability can be assured and the breakout rat.

A neural network prediction system of molten steel temperature for VD has been developed.

The prediction model of molten steel temperature for LF VD CC route has been developed by means of meural network method The difference between the predicted and measured temperature was in range of 0 7 ℃ for 85 % heats,and less than 10 ℃ for all heats Because of data replacement function in the model,the prediction precision can be guaranteed regardless of the influence of gradual change factor