声发射信号分析与旋风分离器内颗粒粒径测量  

Analysis of acoustic emissions and measurement of particle sizes in cyclone

作　　者：王志春[1] 袁小健[1] 张楼成 王鹏[1] 

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010

出　　处：《化学工程》2016年第12期70-74,共5页Chemical Engineering(China)

基　　金：内蒙古自治区自然科学基金项目(2014MS0609);国家自然科学基金资助项目(61463041);包头市科技计划项目(2014z1010-4)

摘　　要：采用声发射检测技术,在颗粒碰撞壁面产生声发射信号的机理上,结合小波算法,建立旋风分离器中固相颗粒粒径的声发射预测模型。在旋风分离器中,分别考察4种不同粒径的活性炭颗粒在0.137,0.214,0.296 m/s3个气相条件下的声发射信号,在流态稳定情况下,在0—500 k Hz采样频率范围内对声发射信号做二阶Daubechies9尺度小波分解,得到代表固体颗粒粒径的特征频段。实验发现特征频段下的声发射信号能量与气相速度的二次方、固相颗粒粒径存在线性关系。固相颗粒粒径的声发射模型的计算值与实际测量值之间的平均相对误差为14.3%,表明声发射技术能够实现固相颗粒粒径的准确、非侵入式的实时在线测量。A prediction model of particles＇ size was proposed by acoustic emission （AE） testing technology and wavelet decomposition based on the mechanism that AE signals with different characteristic frequency. Band energies were emitted when the particles with different velocities impacted with the wall. In the cycle, the AE signals was investigated in the superficial gas velocity range from 0. 137 m/s to 0.296 m/s with four different sizes of activated carbon particle. AE signals were decomposed by using Daubeehies 9 scales wavelet transform in the frequency range from 0 to 500 kHz and gained the characteristic frequency band which reflected different solid particle sizes. The results show that there is a linear relationship among the energy of characteristic band of AE signals, veloeity of the gas phase and the solid particle sizes. The average relative error between the values calculated with the prediction model and the experimental values is 14.3%. Therefore, the AE testing technology to achieve solid particle size is a friendly and accurate way.

关 键 词：声发射 小波分析 旋风分离器 

分 类 号：TQ021[化学工程] TQ051.8