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Decoupling electrostatic signals from gas-solid bubbling fluidized beds

机译:使气固鼓泡流化床中的静电信号去耦

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摘要

Electrostatic signals registered by collision probes in gas-solid fluidized beds contain useful information. However, the signal has been poorly understood, with questions, such as what the signal means and how to extract useful information, being unanswered. In this study, different decoupling methods based on a simple charge transfer and induction model are proposed and applied to obtain both the particle charge density and the bubble rise velocity by decoupling electrostatic charge/current signals from a previously developed dual-material probe in both two- and three-dimensional freely bubbling fluidized beds. A signal processing procedure including a bubble selection algorithm is proposed and applied to screen electrostatic signals from the probe in bubbling fluidized beds. Decoupled results from two selected methods showed consistent trends and had the same order of magnitudes as those obtained from the analysis of video images and Faraday cup measurements. The effects of the bubble selection algorithm criteria on interpreted results are also investigated. (C) 2015 Elsevier B.V. All rights reserved.
机译:碰撞探针在气固流化床中记录的静电信号包含有用的信息。但是,人们对信号的理解很差,无法回答一些问题,例如信号的含义以及如何提取有用的信息。在这项研究中,提出了一种基于简单电荷转移和感应模型的不同去耦方法,并将其用于通过将先前开发的双材料探针中的静电荷/电流信号去耦来获得颗粒电荷密度和气泡上升速度两者。 -和三维自由鼓泡的流化床。提出了一种包含气泡选择算法的信号处理程序,并将其应用于在鼓泡流化床中筛选来自探头的静电信号。两种选定方法的解耦结果显示出一致的趋势,并且与从视频图像分析和法拉第杯测量获得的结果数量级相同。还研究了气泡选择算法标准对解释结果的影响。 (C)2015 Elsevier B.V.保留所有权利。

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