The Process Of Iron Ion Concentration. Goethite Act Shen Iron Prediction Model Research And System Development

The iron removal is a key process of hydrometallurgy, in which zinc calcine and oxygen are added to zinc sulfate solution to remove the impurities of iron, and to turn the iron ion in solution into goethite precipitation,so the purpose of iron removal can be achieved. In actual production, the iron ion concentration of iron removal process is obtained by manual testing, bringing large time delay and making the real-time control of iron removal process extremely difficult. Therefore, it is necessary and significant to study the relations between iron ion concentration output in the goethite iron removal process and the various process parameters, to achieve the real-time forecast of iron ion concentration output and the optimal control of the goethite iron removal process, so that the iron ion concentration meets the requirements of the follow-up production.Based on the analysis of hydrometallurgy iron removal mechanism, the factors affecting the iron ion concentration are determined.The reaction principle of ferrous iron oxidation and iron hydrolysis are deeply analyzed. Therefore, the iron ion concentration prediction model based on the kinetic equation, gas-liquid phase equilibrium and material balance is established. Aiming at the unknown parameters existing in the prediction model. A nonlinear dynamic inertia weight strategy particle swarm optimization algorithm (NIWPSO) with particle swarm average location and location update constraint factor is proposed to estimate the unknown parameters of the mechanism model. Finally, the accuracy and reliability of the prediction model of iron ion concentration are evaluated by using the actual production data. The simulation results show that the model can be used for industrial production, which provides valuable information for the optimal control of the iron removal process.With the use of modular programming method based on Visual C++,the prediction system of iron ion concentration in goethite iron removal process is developed, and a detailed description of the system software design is presented. The system can achieve the following functions:the real-time monitor of process parameters in iron removal process, the prediction of iron ion concentration, and report printing and so on. What's more, the system also lays the foundation for optimal contron of the addictional amount of zinc calcine and oxygen in iron removal process in the next step.