Air Drying Of Copper Concentrates Hot Stove Fuel Optimization

The process of pneumatic conveying drying copper ore is veryimportant in flash smelter. The hot-blast stove in the pneumaticconveying drying system is the main equipment that consumes a lot ofenergy in the smelter. How to improve the utilization of energy andconserve energy is a significant problem in the process of being improvedtechnology and being saved energy.The task of pneumatic conveying drying is to guarantee the moisturecontent of copper ore controlled between 0.1% and 0.3%, which is theprior preparation for the production of flash smelter. How much heavy oilis added into the hot-blast stove is uncertain. In the thesis theoptimization of adding heavy oil is researched on basis of the system ofpneumatic conveying drying, which possesses non-linear, strong coupling,uncertain and multi-constrained features. Because a lot of factorsinfluence the burn of heavy oil in the hot-blast stove, the relationalexpression between burn heavy oil and temperature can't be built intraditional way. The technology of advanced artificial neural net isintroduced. According to the historical data of pneumatic conveyingdrying, based on the input of heavy oil, the copper ore, the temperature inthe hot-blast stove, the fume temperature in the exit, and the temperaturein the turning stove and the output of the temperature in the sink dustroom, The three tier BP neural network model is built.The optimization model of burning heavy oil is built on basis of theabove model, the minimum amount of burn heavy oil in the hot-blaststove regarded as the optimization target, the constraints consisting of thetemperature controlled between 78℃and 82℃, the comparison betweenthe wind and the ore controlled between 1000m~3/t and 1200m~3/t and therate of oxygen in the mixed air controlled below 10%. The combinationof the genetic algorithms and the penalty function are used to optimizethe oil flow in the hot-blast stove. According to the fault analyzed of GAitself, modified GA is provided. The result of simulation showsconvergence speed of the good answer and the stable character of thegood answer has been improved rapidly. At last burning wind needed is calculated by the amount of burning oil and the best match between theamount of oil and wind is obtained. The efficiency of the hot-blast isimproved than ever. So the optimization way are very effective and worthapplying widely.