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Metabolic behavior based optimization of resource utilization for iron and steel production

机译:基于代谢行为的钢铁生产资源利用优化

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This study seeks to optimize the use of resources in iron and steel production. Mathematical models of the blast furnace (BF) iron-making and Basic Oxygen Furnace (BOF) steel-making systems are established by analyzing the metallurgical processes' inputs and the yield of molten iron and crude steel. The Genetic Algorithm (GA) is used to optimize the total amounts and allocation proportions of input resources for the iron and steel making systems. An optimized yield of staple steel product with resource consumption minimized is offered depending on the solution of the GA behavior based model. The approach developed in this paper is significant to the construction of an ecologically-friendly industrial system for iron and steel making.
机译:本研究旨在优化钢铁生产中资源的使用。通过分析冶金工艺的输入和铁水和粗钢的产量,建立高炉(BF)炼铁和碱性氧气炉(BOF)钢制系统的数学模型。遗传算法(GA)用于优化钢铁制造系统的输入资源总量和分配比例。根据基于GA行为的模型的解决方案,提供了具有资源消耗最小化资源消耗的钉钢产品的优化产量。本文开发的方法对于建设钢铁制作的生态友好工业体系的构建是显着的。

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