基于声发射的气固两相流质量流率及粒径的测量

发布时间：2019-06-20 13:23

【摘要】：设计了一套空气-活性炭的声发射信号检测装置,结合经典声发射理论与现代信息处理技术,对气固两相流过程中固相的质量流率、粒径以及碰撞速度等因素做细致分析。对4.00,2.80,1.18,085,0.43 mm 5种不同粒径的活性炭颗粒分别在不同质量流率、不同碰撞速度下的声发射信号进行采样,并采用功率谱估计算法对其进行分析。实验发现碰撞速度对信号的频率影响较小,但对信号的功率强度影响较大,此外,功率谱估计的频率、面积与固相颗粒的粒径、质量流率有很好相关性,拟合出二者的相关方程并通过试验验证,得到各参数的相对误差小于5.5%。因此,采用声发射测量技术与功率谱估计相结合的方法对于气固两项流相关参数的检测是可行有效的。
[Abstract]:A set of air-activated carbon acoustic emission signal detection device is designed. Combined with classical acoustic emission theory and modern information processing technology, the mass flow rate, particle size and collision velocity of solid phase in the process of gas-solid two-phase flow are analyzed in detail. The acoustic emission signals of 4.00, 2.80, 1.18, 0.43 mm and 0.43 mm particles with different particle sizes were sampled at different mass flow rates and different collision speeds, and the acoustic emission signals were analyzed by power spectrum estimation algorithm. It is found that the collision velocity has little effect on the frequency of the signal, but has a great influence on the power intensity of the signal. in addition, the estimated frequency and area of the power spectrum are well correlated with the particle size and mass flow rate of the solid phase. The correlation equations between the two are fitted and verified by the experiment, and the relative error of each parameter is less than 5.5%. Therefore, the combination of acoustic emission measurement technology and power spectrum estimation is feasible and effective for the detection of gas-solid binomial flow parameters.
【作者单位】：内蒙古科技大学信息工程学院;
【基金】：内蒙古自治区自然科学基金项目(2014MS0609) 国家自然科学基金项目(61463041,61463042)
【分类号】：TQ014;TQ021.1

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