Sintering Of Alumina Raw Slurry Quality Forecasts And Application Research

The quality of raw slurry made up by blending, which is the first process of Alumina Production by Sintering Method, not only directly relates to the quality of the sintered grog, but also make great influence on the alkali and water balance in the whole system. However, at present it is difficult to timely measure and stabilize the quality of raw slurry, which complicates the adjustment of ratio and makes it is hard to achieve real-time control of the whole process of production. Therefore, how to implement real-time adjustment of the ratio by establishing the predictive model of quality for raw slurry, is significant for realizing steady and high production of alumina and enhancing the competitive power of enterprises.On the background of production process of alumina in Zhongzhou Brach China Aluminium, this paper mainly does research in the establishment and application of the predictive model of quality. Firstly, the key factors that influence the quality of raw slurry are acquired by analyzing the process of blending, then the multi-step modeling method is proposed. According to it, before the predictive model of quality for raw slurry is established, the predictive model of content for components of Ca-Al silicate slime and alkali liquor should be established. Secondly, the predictive model about Ca-Al silicate slime is established using BP neural networks(NN). Meanwhile according to the condition of alkali tanks and alkali pumps, the predictive model about alkali liquor, which is simplified by the principle of hydromechanics, is also established. One of its inputs is NN's output and its outputs is the inputs of the mechanism model that is based on the material balance principle. Finally, in order to compensate errors of the mechanism model, GM(1,1) is put forward. The compensated model realizes the real-time prediction of raw slurry indices.On the research mentioned above, a blending expert system based on the predictive model of quality is developed in this paper. The structure and function of system are presented, in which the technologies such as data communication, database, reports print are introduced in detail. The system software, developed by VC++, realizes functions of ratiomonitoring, ratio optimization, data leading-in, data management and help. An application result in Zhongzhou Brach China Aluminium shows the predictive model is effective and that the system implements the computation of blending ratio fast and efficiently, improves the quality of result and stabilizes industrial production.