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Optimizing Steel Production with IoT: A Case Study of BlueScope Steel Limited
技术
- 传感器 - 空气污染传感器
- 传感器 - 环境传感器
适用行业
- 金属
用例
- 时间敏感网络
挑战
博思格钢铁有限公司是新西兰的一家分公司,每年利用当地采购的铁砂和煤炭生产 65 万吨钢铁。该工艺的一个关键部分涉及在四个回转窑中通过炭直接还原铁砂。这些窑炉是大型结构,具有 65 米长的旋转圆筒,用于去除铁砂中的氧气,以生产含有适量碳的部分还原材料,用于送入下游熔化器。然而,该公司在了解这些窑炉内的流动模式、温度和浓度等值线方面面临着挑战。主要来自杂质的沉积层或环有时会在窑壳的内表面上形成,从而限制了生产率。该公司需要在合理的时间内解决这个涉及高度湍流、化学反应、传热和非常大的几何形状的复杂问题。他们还需要有效地测试一系列操作条件和几何形状。
关于客户
博思格钢铁有限公司是一家钢铁生产公司,在新西兰设有分部。该公司每年利用当地采购的铁砂和煤炭生产 65 万吨钢铁。其生产过程的一个关键组成部分是在四个回转窑中通过炭直接还原铁砂。这些窑炉结构庞大,直径约 4.2 米,回转圆筒长 65 米。窑炉的主要功能是去除铁砂中的氧气,以生产含有适量碳的部分还原材料,用于送入下游熔炉。还原过程需要通过一氧化碳和木炭的燃烧提供能量。
解决方案
BlueScope Steel Limited 求助于 ANSYS CFX 和 ANSYS DesignModeler 软件来为其挑战提供解决方案。这些软件解决方案在 64 位工作站上运行来执行计算。该解决方案表现出良好的稳定性,并且在不到 200 次迭代内收敛。计算流体动力学 (CFD) 结果根据可用的实验数据进行了定性验证。这两个软件包的灵活性允许快速实施几何形状和/或操作条件的变化。这提供了在相对较短的时间内整个窑炉的预测温度、速度和浓度等值线的完整详细信息。还可以轻松检查空气流量和其他操作参数的影响,有助于更好地了解窑炉操作和优化工厂生产。
运营影响
数量效益
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