High resolution X-ray microtomography for the characterization of pore structure and effective thermal conductivity of iron ore sinter

被引:26
|
作者
Zhou, Hao [1 ]
Zhou, Mingxi [1 ]
Cheng, Ming [1 ]
Guo, Xutao [1 ]
Li, Yawei [1 ]
Ma, Pengnan [1 ]
Cen, Kefa [1 ]
机构
[1] Zhejiang Univ, Inst Thermal Power Engn, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
X-ray microtomography; Porous structure; Sinter cake; Effective thermal conductivity; WASTE HEAT-RECOVERY; METAL FOAMS; THERMOPHYSICAL PROPERTIES; CFD SIMULATION; BLAST-FURNACE; PACKED-BED; POROSITY; FLOW; TEMPERATURE; DIFFUSIVITY;
D O I
10.1016/j.applthermaleng.2017.08.051
中图分类号
O414.1 [热力学];
学科分类号
摘要
Thoroughly understanding of the thermophysical properties of porous sinter is especially important for operation optimization and energy saving in integrated steel mills. Under this prospect, nondestructive X-ray microtomography was applied to characterize the pore structure and following simulations for estimating the sinter effective thermal conductivity were performed. Three sinter cakes produced from pilot-scale sinter pot tests under three granulation moisture levels were scanned with resolution ratio of 42 mu m. The reconstructed sinter cakes have various complex pore distributions, leading to remarkable anisotropic thermal conductivities and complicated temperature field. The pores smaller than 300 mu m dominate the number frequency in sinter cake, while a small amount of pores larger than 1 mm account for similar to 94% of the total pore volume, which determine the thermal behavior greatly. The estimated effective thermal conductivities of three samples are 0.847, 0.865, 0.558 W/m K, corresponding to the porosity of 48.1%, 49.1% and 59.4% respectively. Comparing these values with values of similar iron agglomerates in the literature, some empirical correlations and analytical models, the results proved that CT-simulation is a valid approach for capturing the peculiar details of the real sinter porous structure, thus to predict thermal behavior with higher accuracy than the simplified geometric models. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:508 / 516
页数:9
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