Kinetic Study on Reduction of FeO in a Molten HIsarna Slag by Various Solid Carbon Sources

Kinetic Study on Reduction of FeO in a Molten HIsarna Slag by Various Solid Carbon Sources
复制标题

DOI:
10.1007/s11663-022-02677-1
复制
发表时间:
2022-11
期刊:
Metallurgical and Materials Transactions B
影响因子:
--
通讯作者:
Theint Theint Htet-Theint;Zhiming Yan;Darbaz Khasraw;Johannes L. T. Hage;K. Meijer;Zushu Li
Theint Theint Htet-Theint;Zhiming Yan;Darbaz Khasraw;Johannes L. T. Hage;K. Meijer;Zushu Li
中科院分区:
其他
文献类型:
--
作者:
Theint Theint Htet-Theint;Zhiming Yan;Darbaz Khasraw;Johannes L. T. Hage;K. Meijer;Zushu Li

文献摘要

相似文献

为了研究不同还原剂如木炭(CC)、动力煤(TC)和炭黑(CB)与HIsarna炉渣的还原行为,在1450 °C、1475 °C和1500 °C下在与四极质谱仪(QMS)耦合的垂直管式电阻炉(VTF)中进行了一系列等温还原实验。结果证实,CC实现的总体降低率最高,其次是TC和CB。通过使用光学显微镜和扫描电子显微镜在1.5分钟、3分钟和5分钟的间隔处研究水淬样品的形态来确定含FeO的熔融炉渣和所选择的含碳材料之间的还原机理。结果表明,整个反应受两种主要机制控制:(1)CO气泡的成核和生长,由气态中间产物CO和CO2进行;(2)FeO在熔渣中的扩散。其中化学反应控制占主导地位的初始还原期,可以描述的Avrami-Erofeev模型,而最后一个时期是由三维扩散模型。
To investigate the reduction behaviour of different reductants such as charcoal (CC), thermal coal (TC), and carbon black (CB) with HIsarna slag, a series of isothermal reduction experiments were performed in a vertical tube resistance furnace (VTF), coupled with a Quadrupole mass spectrometer (QMS) at 1450 °C, 1475 °C and 1500 °C. The results confirm that the highest overall reduction rate was achieved by CC, followed by TC and CB. The reduction mechanism between FeO containing molten slag and the selected carbonaceous materials is determined by studying the morphology of the water quenched samples at the intervals of 1.5, 3 and 5 minutes, using optical and scanning electron microscopes. The results reveal that the overall reaction is controlled by two main mechanisms: (1) nucleation and growth of CO bubbles, proceeded by the gaseous intermediates CO and CO2; and (2) diffusion of FeO in the molten slag. The initial reduction period in which chemical reaction control is dominant, can be described by the Avrami–Erofeev model, whereas the final period is described by the three-dimensional diffusion model.