基于超声波衰减谱的石膏浆液粒度测量方法

Ultrasonic Attenuation Spectrum Based Method for Measuring the Particle Size Distribution of Gypsum Slurry

为控制脱硫副产品石膏生成粒度,提高脱硫石膏的品质,有必要对石膏浆液的密度、浓度及粒度进行快速准确测量,为此设计了一种基于超声波衰减谱的非浸入式脱硫石膏浆液粒度测量方法(简称超声波法),并用该法对不同电厂6种石膏浆液进行对比测量。在ECAH理论模型的基础上,通过对超声脉冲时域信号进行快速傅立叶变换(FFT)获得超声波衰减谱,基于MATLAB语言编写不同的反演程序,分别用最优正则化算法(ORT)和投影算法(Projection)以及非独立的遗传算法(GA)计算得到石膏浆液粒度分布,并与常规测试方法进行比对分析,其中正则化算法所得偏差值在20%以内,证明了该算法的可靠性。所设计的脱硫石膏浆液粒度测试超声波法,可为后续开展脱硫石膏浆液粒度分布在线测量仪的研制提供借鉴。

In order to control the particle size of desulfurization by-product gypsum and improve the quality of desulfurization gypsum,it is necessary to measure the density,concentration and particle size of gypsum slurry quickly and accurately.In this paper a non-destructive desulfurization gypsum slurry particle size measurement method using ultrasonic attenuation spectrum was designed(a.k.a ultrasonic method),and then implemented to examine and compare the contents of six samples of gypsum slurry from different power plants.Based on the ECAH theoretical model,the ultrasonic attenuation spectrum was obtained by Fast Fourier Transform(FFT)of ultrasonic time-domain pulse signal.Different inversion programs were written in MATLAB language.Then by taking advantage of the optimal regularization algorithm(ORT),projection algorithm(Projection)and non-independent genetic algorithm(GA),the gypsum slurry particle size distribution were calculated respectively,and compared with the conventional testing methods.Among them the reliability of the regularization algorithm is verified with the deviation below 20%.The present ultrasonic method for measuring the particle size of desulfurized gypsum slurry can provide reference for the upcoming development of on-line measuring instrument for the particle size distribution of desulfurized gypsum slurry.