在加压密相气力输送实验装置上获得了不同操作条件下煤粉颗粒静电波动信号,并用Hilbert—Huang变换、功率谱进行分析。结果表明:随着表观速度的增加,静电波动信号主峰值的频率增大;静电波动信号希尔伯特-黄变换(Hilbert—Huang)揭示了气固两相流静电信号的非线性和非平稳特征,随气固两相流颗粒相浓度降低和颗粒及表观速度增加,静电波动信号特征尺度由高尺度(低频)向低尺度(高频)转移。多尺度分析有助于认识气固两相流动形态及其转变规律。
Particle charging generated by particle-wall, particle-particle and particle-gas contacts in pneumatic transport pipelines contains rich information on gas-solid flow hydrodynamics. Electrostatic fluctuation signals were detected by a ring-shape electrostatic sensor in a dense phase pneumatic conveying system. Power spectrum analysis and Hilbert-Huang Transform (HHT) were applied to the electrostatic fluctuations to extract and characterize the intrinsic features of dense-phase gas-solid flow. Results show that the dominant peak of the power spectrum of the electrostatic fluctuations moves toward higher frequency with the increasing gas superficial velocity. The Hilbert-Huang Transform reveals the nonlinear and non-stationary intrinsic nature of the electrostatic fluctuations. The relations between the energy distribution transmissions in Intrinsic Mode Functions (IMFs) with different orders and the flow characterization of the dense phase gas-solid flow can represent the behavior, stability and regime transitions of the gas-solid flow in the dense-phase pneumatic conveying system.