首页> 外文期刊>Industrial Engineering Letters >Effect of Fuel Mixture on Cement Production: A Case Study of BUA Plant. Cement Production Optimization with change in Specific surface area (0.35cm2/g and 0.38cm2/g). Using Particle Swarm Optimization model.
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Effect of Fuel Mixture on Cement Production: A Case Study of BUA Plant. Cement Production Optimization with change in Specific surface area (0.35cm2/g and 0.38cm2/g). Using Particle Swarm Optimization model.

机译:混合燃料对水泥生产的影响:以BUA工厂为例。通过比表面积(0.35cm2 / g和0.38cm2 / g)的变化优化水泥生产。使用粒子群优化模型。

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Ordinary Portland cement industries have been using co-processing from industrial waste. These paper present opportunities of using both Conventional fuel and Agricultural waste for cement production optimization an in-depth analysis on effect of using conventional fuel (mineral coal, pet-coke, Heavy oil and Natural gas) and Agricultural waste (sugar waste and ground nut shell). This mixture is intended for use in a rotary kiln of clinker production, dry process. The optimization model used was Particle Swarm Optimization (PSO). The change in the specific surface area(S) from 0.35cm 2 /g to 0.38cm 2 /g of the final product (cement), this resulted into slight increased the energy consumption, more retention time, reduction in production output, increased wear rate on mill liners.
机译:普通的波特兰水泥工业一直在使用工业废物的协同处理方法。这些论文提供了同时使用常规燃料和农业废弃物进行水泥生产优化的机会,深入分析了使用常规燃料(矿物煤,石油焦,重油和天然气)和农业废弃物(糖废弃物和花生仁)的效果。贝壳)。该混合物旨在用于熟料生产,干法的回转窑。使用的优化模型是粒子群优化(PSO)。最终产品(水泥)的比表面积(S)从0.35cm 2 / g变化到0.38cm 2 / g,这导致能量消耗略有增加,保留时间更多,产量减少,磨损增加磨机衬板上的速度。

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