Process Reengineering of Combined Top Blown and Side Blown Continuous Copper Smelting System Development
The oxygen-enriched top blown submerged smelting process is a copper smelting technology in-troduced in a specific period and realized digestion innovation and wide application in China.It has made an important contribution to the leap of China's copper smelting industry from traditional smelting process to modern intensive smelting process.In recent years,with the rapid development of continuous copper smelting technology and short process technology,matte smelting has made continuous breakthroughs in the direction of high oxygen concentration,high matte grade,high temperature and high processing ca-pacity.Under the background of high-quality development requirements and rapid technological progress,domestic production enterprises have continuously carried out a series of exploration and research on green energy saving and consumption reduction of copper smelting system in combination with their own reality,and achieved a series of results.This paper focused on the process innovation and process reengineering of the technological upgrading and transformation of the copper concentrate oxygen-enriched top blown submerged smelting plant in the new era,and put forward the general idea and development direction,in-cluding the addition of side blown lances to the main equipment air supply device,and the corresponding transformation of the structure of the metallurgical furnace body and other supporting facilities,the aboli-tion of the raw material granulation system and the settling electric furnace,the realization of high-grade copper matte smelting and continuous copper smelting.The upgrading and transformation of the melting plant technology and equipment provides technical reserves,guidance and reference,and promotes the industry to move towards low-carbon,green and environmental protection.
copper smeltingoxygen-enriched top blown immersion smeltingcontinuous copper smel-tingcontrol optimizationprocess upgrades
万方数据
维普
