• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>ISIJ international >Preface to the Special Issue on “Recent Progress in Modeling, Data-processing and Control of Ironmaking Process”
【24h】

Preface to the Special Issue on “Recent Progress in Modeling, Data-processing and Control of Ironmaking Process”

机译：《炼铁工艺建模，数据处理和控制的最新进展》特刊序言

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recently, due to fear of the global warming, and the sta- ble and high productivity derived from a strong demand of the steel market, the requirements on the ironmaking process have shown a remarkable change. For example, looking back over the last decades in the steel industry, we have focused on the increase in steel production and utiliza- tion of various resources to decrease the steel production cost. Today, however, low reducing agent operation is being actively pursued due to the global warming issue. Large blast furnaces with inner volumes exceeding 5000 m> are constructed in some countries such as China and Japan, and accurate and reliable control of their operation is required to attain the above target. To achieve this, mathematical models of the ironmaking process can play an important role. Various mathematical models of the blast furnace based on advanced methods such as the discrete element method have recently been developed. Alternatively, data- driven modeling is also being broadly investigated and today exhibits great potential for describing the complex behavior of ironmaking processes. These new methods are expected to be able to further improve model accuracy and also to shed more light on how to optimize the blast furnace process operation in the future.
机译：最近，由于担心全球变暖，以及钢铁市场需求旺盛带来的稳定和高生产率，对炼铁工艺的要求已显示出显着变化。例如，回顾过去几十年的钢铁行业，我们专注于增加钢铁产量并利用各种资源来降低钢铁生产成本。然而，如今，由于全球变暖问题，低还原剂操作正在积极地进行。在中国和日本等一些国家/地区建造了内部容积超过5000 m>的大型高炉，要实现上述目标，就必须对其运行进行准确而可靠的控制。为此，炼铁过程的数学模型可以发挥重要作用。最近已经开发了基于先进方法（例如离散元素法）的高炉各种数学模型。另外，数据驱动的建模也正在广泛研究中，如今在描述炼铁过程的复杂行为方面具有巨大的潜力。预计这些新方法将能够进一步提高模型的准确性，并在将来进一步阐明如何优化高炉工艺操作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号