Magnetic resonance imaging is used to generate snapshots of particle concentration and velocity fields in gas–solid fluidized beds into which small amounts of liquid are injected. Three regimes of bed behavior (stationary, channeling, and bubbling) are mapped based on superficial velocity and liquid loading. Images are analyzed to determine quantitatively the number of bubbles, the bubble diameter, bed height, and the distribution of particle speeds under different wetting conditions. The cohesion and dissipation provided by liquid bridges cause an increase in the minimum fluidization velocity and a decrease in the number of bubbles and fast particles in the bed. Changes in liquid loading alter hydrodynamics to a greater extent than changes in surface tension or viscosity. Keeping U/U_mf at a constant value of 1.5 produced fairly similar hydrodynamics across different wetting conditions. The detailed results presented provide an important dataset for assessment of the validity of assumptions in computational models. © 2017 American Institute of Chemical Engineers AIChE J, 64: 2958–2971, 2018

中文翻译：

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气固两相流化的磁共振成像

磁共振成像用于在注入少量液体的气固流化床中生成粒子浓度和速度场的快照。根据表层速度和液体载量，绘制了三种床行为模式（固定，窜动和冒泡）。分析图像以定量确定在不同润湿条件下的气泡数，气泡直径，床高以及颗粒速度的分布。液桥提供的凝聚力和耗散性导致最小流化速度的增加以及床中气泡和快速颗粒数量的减少。液体负荷的变化比表面张力或粘度的变化更大程度地改变了流体动力学。保持U / U _mf在恒定的1.5值下，在不同的润湿条件下产生的流体动力学非常相似。提出的详细结果为评估计算模型中假设的有效性提供了重要的数据集。©2017美国化学工程师学会AIChE J，64：2958–2971，2018