Flash Smelting Research And Application Of Optimization Of Operating Parameters

The practices of production indicated that, the matte temperature, matte grade and the ratio of Fe to SiO₂ are three synthesis criterions of flash smelting processes; they are also the primary bases for regulating the operational parameters (quantities of thermal wind and oxygen). Owing to the manual measurements of the three parameters lag behind production process more than one hour, it's difficult for us to modify the model by feedback timely. To solve this problem, this paper takes a smelting factory as research object, makes studies in the model of flash smelting processes, and achieves the predicts of the three parameters by using metrical data. Then the operational parameters are optimized on the basis of this model.This paper establishes a mechanism model based on materiel balance and heat balance by analyzing the mechanism. Further, it establishes a fuzzy neural network model, which takes eight parameters as input variables, to predict the three parameters, too. The characters of the two models are analyzed respectively, and some conclusions can be drawn as follows: the fuzzy-NN model's fitting performance is fine by and large, but it can not predict exactly when the work conditions are unstable because of the shortage of data; the mechanism model's precision is lower than the former generally, but its effect is better than it when the work conditions change abruptly. So an intelligent integrated model is established by combination the two models above. The integrated model is tested by industrial practical data, and the results show that the model is feasible and high precision. It meets the requirement of produce.An optimizing model based on process prediction model is devised. According to the practices of a smelting factory, this model takes technologic parameters as restrictions, and aims at the stability of the work conditions. It achieves the optimum operational parameters (quantities of thermal wind and oxygen). The optimization results instruct the production of flash smelting furnace, and make for the optimizing of flash smelting process.At last, a production monitor and operational optimization instruction system for flash smelting furnace is developed. Practical application indicates that the control system is feasible, and with good effect.