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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Study of granular state transition in a rotation drum by using speckle visibility spectroscopy and the edit distance with real penalty algorithm
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Study of granular state transition in a rotation drum by using speckle visibility spectroscopy and the edit distance with real penalty algorithm

机译:用散斑可见度光谱和具有实际惩罚算法的编辑距离的旋转鼓中粒状过渡的研究

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摘要

The states and in-between transitions of granular flows in a horizontal drum is difficult to identify by using the conventional surface slope angle. In this work, we employed the Speckle Visibility Spectroscopy (SVS) method to measure the fluctuation of particle velocity, delta v(2) (i.e. the so-called granular temperature). By analyzing characteristics of delta v(2), we defined discrete avalanche, transition regime and the continuous flow. By using the Edit Distance with Real Penalty method to quantitatively measure the periodicity, we found that particle motion in passive layer of the granular flow has a transition regime consistent with the active layer, and the active layer undergoes discrete avalanche (DA) as the drum rotates at a low rotational speed (<0.063 RPM). As rotation speed is >0.103 RPM, the active layer undergoes a continuous flow (CF). When the rotation speed is between DA and CF, DA and CF are found occur alternately. We defined this state of the granular flow as the transition state. With the periodicity as the key parameter, the transition regime can be quantitatively identified, and the transition regime and the critical speed of DA and CF are obtained. The method of period detection is further extended to DA and CF. We found that in DA, the periodicity of particle motion increases with the increase of Froude number and reaches the maximum when it was close to the transition regime. In the CF, no significant periodicity was found. Meanwhile, through quantitative measurement of the transition state, we found the main factors affecting the transition state range during the filling degree. These findings shows that the periodicity of particle motion can accurately identify the three states of granular flows. (C) 2019 Elsevier B.V. All rights reserved.
机译:通过使用传统的表面倾斜角难以识别水平鼓中的颗粒流的状态和在粒状流动之间。在这项工作中,我们采用了散斑可见性光谱(SVS)方法来测量粒子速度,Delta V(2)(即所谓的颗粒温度)的波动。通过分析Delta V(2)的特征,我们定义了离散的雪崩,过渡制度和连续流程。通过使用具有实际惩罚方法的编辑距离来定量测量周期性,我们发现粒状流动的无源层中的颗粒运动具有与有源层一致的过渡方案,并且活性层经历离散的雪崩(DA)作为鼓以低转速(<0.063rpm)旋转。随着转速> 0.103rpm,活性层经历连续流动(CF)。当旋转速度在DA和CF之间时,发现DA和CF交替发生。我们将此状态定义为过渡状态的粒度。通过作为关键参数的周期性,可以定量地识别转换制度,并且获得转换制度和DA和CF的临界速度。周期检测方法进一步扩展到DA和CF.我们发现在DA中,粒子运动的周期性随着弗劳德数的增加而增加,并且当它接近过渡方案时达到最大值。在CF中,未发现明显的周期性。同时,通过定量测量过渡状态,我们发现在灌装度期间影响过渡状态范围的主要因素。这些发现表明,粒子运动的周期性可以准确地识别颗粒流的三种状态。 (c)2019年Elsevier B.V.保留所有权利。

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