首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >CFD and infrared thermography of particle curtains undergoing convection heat transfer: Image analysis and edge prediction
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CFD and infrared thermography of particle curtains undergoing convection heat transfer: Image analysis and edge prediction

机译:粒子窗帘的CFD和红外热成像正在进行对流传热:图像分析和边缘预测

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摘要

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. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,将落下的热颗粒窗帘的红外热成像与欧拉 - 欧拉计算流体动力学(CFD)模拟模拟相比。 使热颗粒窗帘落在矩形箱中的窄槽。 使用基于梯度的图像分析技术预测了不同槽宽度,粒度和质量流量的形成窗帘的形状。 发现小槽宽度和低质量流量情况表明出色的相关性。 较大的粒度导致热成像数据中的更大不确定性,并且大的槽宽和高质量流量CFD模拟可靠。 (c)2017 Elsevier B.v.保留所有权利。

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