Pressure fluctuations are one of the most important parameters in the design and operation of gas-solid circulating fluidized bed (CFB), whose signals reflect lots of nonlinear hydrodynamics behaviors in the bed.
压力波动是气固循环流化床设计和操作中的重要参数,其信号包含了大量床内非线性流体力学行为的信息。
参考来源 - 气固循环流化床压力波动时间序列非线性分析·2,447,543篇论文数据,部分数据来源于NoteExpress
In this paper, the two -phase flow behaviors of gas-solid circulating fluidized bed have been first studied by analysing experimental data.
本文首先从实验数据分析的角度揭示了气-固循环流化床的两相流动规律。
An artificial neural network model was set up to simulate the hydrodynamics of the gas-solid flow in the gas-solid circulating fluidized bed.
提出了气固循环流化床中气固流动的人工神经网络模型。
A new hybrid method for prediction of solids holdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
提出了一种将混沌的相空间重构、小波包分析和神经网络相结合的新方法用于预测气-固循环流化床的颗粒浓度。
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