基于工业CT的球团矿三维孔隙结构表征与性能分析
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兰大伟(1977—),女,硕士研究生,从事钢铁冶金方面的研究。

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TG046.6

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国家自然科学基金资助项目(52174291)


Analysis on three-dimensional pore structure characterization and performance of pellets based on industrial CT
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    摘要:

    孔隙在球团矿中的存在状态以及孔隙率对球团矿各项性能有着十分重要的影响。目前球团孔隙率检测方法为压汞法、SEM图像识别方法以及X射线计算机断层扫描(CT)方法,为了明确3种检测方法的优缺点并准确得到球团的孔隙率,本文以现场两种(1#、2#)球团矿为基础进行了相关对比检测,并阐述了球团矿三维孔隙结构表征与性能间的关系。分析结果表明:压汞法无法检测封闭孔,SEM图像识别方法仅能检测局部孔隙,CT扫描方法可以重现球团矿内部孔隙分布状态,是一种较为完善的孔隙检测方法;孔隙结构的表征能够更加具象化分析球团抗压强度及冶金性能的变化,如内部孔隙较多且大部分以连通孔形式存在的1#球团矿的抗压强度低于内部孔隙较少且大部分以封闭孔形式存在的2#球团矿,而由于连通孔有利于还原气体的传递,故1#球团矿的还原性能优于2#球团矿。

    Abstract:

    The presence and porosity of pores in pellets have a very important influence on the performances of pellets. At present, the methods for detecting the porosity of pellets are mercury pressure method, SEM image recognition method and X-ray computed tomography (CT) method. In order to clarify the advantages and disadvantages of the three detection methods and accurately obtain the porosity of pellets, the relevant comparative tests are carried out based on on-site pellets 1# and 2#, and the relationship between the three-dimensional pore structure characterization and performances of pellets is elaborated. The analysis results show that the mercury pressure method cannot detect the closed pores, the SEM image recognition method can only detect local pores, and the CT scanning method can reproduce the internal pore distribution state of pellets, which is a relatively complete pore detection method. The characterization of pore structure can more concretely analyze the changes of compressive strength and metallurgical properties of pellets, such as the compressive strength of 1# pellets with more internal pores and most of them in the form of connected pores is lower than that of 2# pellets with fewer internal pores and most of them in the form of closed pores, and the reduction performance of 1# pellets is better than that of 2# pellets because the connected pores are conducive to the transfer of reducing gases.

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兰大伟,张建良,李卓,王耀祖,徐晨阳,乔红梅,李占国,刘征建.基于工业CT的球团矿三维孔隙结构表征与性能分析[J].烧结球团,2023,48(3):99-105

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  • 最后修改日期:2023-03-20
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  • 在线发布日期: 2026-09-27
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