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Gas holdup estimation in flotation machines using image techniques and superficial gas velocity

机译:使用图像技术和表观气体速度估算浮选机中的气体滞留率

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This paper presents an indirect method for determining the local gas holdup in the collection zone of flotation machines. The method includes a linear model to describe the gas holdup as a function of the superficial gas velocity and the percent area, defined as the 2D area fraction occupied by bubbles in binary images. Such images were recorded using a bubble viewer. More than 250 images of bubbles were processed to obtain suitable percent area estimations. The ability of the model to describe local gas holdup was tested at laboratory and industrial scale. The latter included self-aerated and forced-air mechanical cells from 8.5 m(3) to 300 m(3) and industrial columns from 42 m(3) to 160 m(3). The model was able to estimate the gas holdup ranging from 2.5% to 15% in laboratory and from 6.0% to 21.0% in industrial machines. As a result, a database of industrial gas holdup is presented, which includes 8 copper concentrators. The proposed methodology is a promising tool for gas dispersion characterization using a unique measurement system. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一种间接方法,用于确定浮选机收集区的局部含气量。该方法包括一个线性模型,该模型将气体滞留率描述为表观气体速度和面积百分比的函数,面积百分比定义为二进制图像中气泡占据的2D面积分数。此类图像是使用气泡查看器记录的。处理了超过250个气泡图像,以获取合适的面积百分比估计。该模型描述局部气体滞留量的能力已在实验室和工业规模上进行了测试。后者包括从8.5 m(3)到300 m(3)的自充气和强制通风机械单元以及从42 m(3)到160 m(3)的工业圆柱。该模型能够估计实验室中的气体滞留量为2.5%至15%,工业机器中的气体滞留量为6.0%至21.0%。结果,提出了一个工业气体含气量数据库,其中包括8个铜浓缩器。所提出的方法学是使用独特的测量系统进行气体弥散表征的有前途的工具。 (C)2016 Elsevier Ltd.保留所有权利。

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