郁健, 李士琦, 朱荣, 孙开明, 王惠斌. 电弧炉炼钢过程的跨尺度能量集成理论研究[J]. 工程科学学报, 2010, 32(9): 1124-1130. DOI: 10.13374/j.issn1001-053x.2010.09.005
引用本文: 郁健, 李士琦, 朱荣, 孙开明, 王惠斌. 电弧炉炼钢过程的跨尺度能量集成理论研究[J]. 工程科学学报, 2010, 32(9): 1124-1130. DOI: 10.13374/j.issn1001-053x.2010.09.005
YU Jian, LI Shi-qi, ZHU Rong, SUN Kai-ming, WANG Hui-bin. Theoretical research on trans-scale energy integration in the electric arc furnace steelmaking process[J]. Chinese Journal of Engineering, 2010, 32(9): 1124-1130. DOI: 10.13374/j.issn1001-053x.2010.09.005
Citation: YU Jian, LI Shi-qi, ZHU Rong, SUN Kai-ming, WANG Hui-bin. Theoretical research on trans-scale energy integration in the electric arc furnace steelmaking process[J]. Chinese Journal of Engineering, 2010, 32(9): 1124-1130. DOI: 10.13374/j.issn1001-053x.2010.09.005

电弧炉炼钢过程的跨尺度能量集成理论研究

Theoretical research on trans-scale energy integration in the electric arc furnace steelmaking process

  • 摘要: 研究分析了电弧炉炼钢过程的冶金学特征,指出供应能量对电弧炉炼钢的物质转化过程起到了决定性的作用.观察、认识到在炼钢过程中存在着微观、介观、单元操作级和工位级等尺度级的时空多尺度结构.在工位级按能量将供氧、供电两项功率单元进行跨尺度集成,形成了工位级跨尺度能量集成的一般方法,并用数学公式进行了描述.工业试验和工业生产表明:跨尺度集成的理念和方法与炼钢生产相结合可取得较好的生产效果,平均冶炼电耗为271.1kW·h·t-1,氧气消耗为40.4m3·t-1,冶炼周期为52.9min.

     

    Abstract: Metallurgical characteristics in the electric arc furnace steelmaking process were analyzed.The result showed that energy supply played a decisive role on material transformation.On the basis of the realization of space-time multi-scale structures which contained microscale,mesoscale,unit operation and working operation scale,trans-scale integration on two units of oxygen supplying and power supplying was realized according to energy in working operation scale and a general method of energy integration was formed.Its mathematical and physical expressions could be described.Industrial test and industrial production indicated that great production efficiency was made in combination with the idea and method of trans-scale integration.The smelting electricity consumption was 271.1 kW·h·t-1,the oxygen consumption 40.4 m3·t-1,and the smelting period 52.9 min on average.

     

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