Abstract In this paper infrared thermographic images of falling hot particle curtains are compared to Eulerian-Eulerian Computational Fluid Dynamics (CFD) model simulations. The hot particle curtains were made to fall through a narrow slot in a rectangular box. The shapes of the formed curtains at different slot widths, particle sizes and mass flow rates were predicted using gradient-based image analysis techniques. Small slot width and low mass flow rate situations were found to show excellent correlation. Larger particle sizes led to greater uncertainty in the thermographic data, and large slot width and high mass flow rate CFD simulations were less reliable.

中文翻译：

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进行对流热传递的粒子幕的 CFD 和红外热成像：图像分析和边缘预测

摘要 本文将下落的热粒子幕的红外热成像图像与欧拉-欧拉计算流体动力学 (CFD) 模型模拟进行了比较。使热粒子帘从矩形盒子中的狭缝中落下。使用基于梯度的图像分析技术预测不同狭缝宽度、粒度和质量流量下形成的幕的形状。发现狭缝宽度和低质量流量情况显示出极好的相关性。较大的颗粒尺寸导致热成像数据的不确定性更大，而大槽宽和高质量流量 CFD 模拟的可靠性较低。