《Application of Ingredients Modeling and Quality Prediction in Sintering Production》
Introduction
Sintering is an important process in the steel making industry, which is usually used to reduce the amount of impurities in the molten steel and increase the uniformity of the alloy in the steel. In order to ensure the quality of sintering products, it is necessary to accurately control the number and quality of raw materials in sintering production. It can be predicted through appropriate models and quality prediction methods. In this paper, the application of ingredients modeling and quality prediction in sintering production is discussed.
Ingredients Modeling
Ingredients modeling is a widely used method in sintering production to determine the components and proportions of ingredients. According to the main components of sintering raw materials, the ingredients models are classified into oxide models and sulfide models. In oxide models, the raw materials are divided into oxide parts and metal parts. In the oxide model, the amount of a certain ore is further determined according to the components and proportions of other ores and elements. In sulfide models, the proportion of sulfide ore is used as the criterion for deployment. The ingredients in this model are used to analyze the relationships between various main components, and then predict the components of the material according to the known ingredients.
Quality Prediction
In sintering production, it is important to guarantee the quality of the sintering products. Quality prediction models primarily focus on determining the quality of sintering products through determining the components and proportions of the raw materials. The quality of the sintering products is generally judged according to their chemical composition, physical properties and metallurgical properties. For example, the chemical composition refers to the content of the main elements in the material, and the physical properties include porosity, density and so on. The metallurgical properties include strength, yield strength and toughness. By comparing the predicted values with the quality control standards, it is possible to determine the quality of the sintering products.
Conclusion
Sintering production is an important process in the steel making industry, and ingredients modeling and quality prediction are essential in ensuring the quality of sintering products. Ingredients modeling is used to determine the components and proportions of the raw materials, while quality prediction is used to determine the quality of the sintering products according to their chemical composition, physical properties and metallurgical properties. Through the application of ingredients modeling and quality prediction, it is possible to accurately predict the quality of sintering products and control the quality of the production process.
