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首页> 外文期刊>Particulate Science and Technology: An International Journal >Evaluation of Free-Fall Particle CT Images Using State Transition Matrix
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Evaluation of Free-Fall Particle CT Images Using State Transition Matrix

机译:利用状态转移矩阵评估自由落体粒子CT图像

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摘要

Spatial particle density distribution images in a pipe cross section have been evaluated by means of state transition matrix, which is a parameters indicating the dominant particle density transition patterns among time series images consisting of CT 2-D space and 1-D time. State transition characterizes the transition patterns for positions in a cross section as monotonous transitions, sudden transitions, and extreme value transitions. IN a simulation, the real part of the state transition matrix is negative and the imaginary part is zero in the case of monotonous transition. The real part is positive and the imaginary part is zero in the case of extreme value transition. The imaginary part is nonzero in the case of sudden transition. In free-fall particles in a vertical pipe, high, sudden, and extreme value transitions do not occur because the particle flow rate at this position is own, and therefore the probability of collision among particles is also low. High, sudden, and extreme value transitions occur near the pipe center when the particle flow rates is high, because the probability of collision among particles is high.
机译:已经通过状态转换矩阵对管道横截​​面中的空间粒子密度分布图像进行了评估,状态转换矩阵是指示由CT 2-D空间和1-D时间组成的时间序列图像中主要粒子密度转换模式的参数。状态转换将横截面中位置的转换模式表征为单调转换,突然转换和极值转换。在仿真中,在单调过渡的情况下,状态转换矩阵的实部为负,虚部为零。在极值转换的情况下,实部为正,虚部为零。在突然过渡的情况下,虚部不为零。在垂直管中的自由落体粒子中,由于该位置处的粒子流速是自身的,因此不会发生高,突然和极值的过渡,因此粒子之间发生碰撞的可能性也较低。当粒子流速高时,在管道中心附近会发生高,突然和极高的值转换,因为粒子之间发生碰撞的可能性很高。

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