Abstract The stickiness of bed material was highly relevant to agglomeration/defluidization in fluidized-bed reduction of iron ore. In this paper, a quantitative model was developed to associate solid surface viscosity (particle adhesion) of a granular group with particle size distribution (PSD) function. The calculation was focused on the sintering behavior of particles with different sizes. This model explained theoretically the dependence of particle adhesion on PSD parameters and thus can be used as a reference to select the particle composition of bed materials for fluidization reduction of iron ore.

中文翻译：

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高温下铁粉固体表面粘度的模型：粒度分布的影响

摘要 在铁矿石流化床还原过程中，床料的粘性与团聚/脱流作用密切相关。在本文中，开发了一种定量模型，将颗粒群的固体表面粘度（颗粒粘附力）与粒度分布 (PSD) 函数联系起来。计算的重点是不同尺寸颗粒的烧结行为。该模型从理论上解释了颗粒粘附对PSD参数的依赖性，因此可作为铁矿石流化还原床料颗粒组成选择的参考。