Online particle size measurement through acoustic emission detection and signal analysis

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings Pub Date : 2014-05-12 DOI:10.1109/I2MTC.2014.6860883

Yonghui Hu, Xiaobin Huang, X. Qian, Lingjun Gao, Yong Yan

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引用次数: 15

Abstract

Accurate determination of particle size distribution is critical to achieving optimal combustion efficiency and minimum pollutant emissions in both biomass and coal fired power plants. This paper presents an instrumentation system for online continuous measurement of particle size distribution based on acoustic emission (AE) method. Impulsive AE signals arising from impacts of particles with a metallic waveguide protruding into the flow carry information about the particle size. The relationship between the particle size and the peak AE voltage has been established through physical modeling of particle impact. A particle sizing algorithm is developed using peak detection techniques. Experimental results obtained with glass beads demonstrate the capability of the system to discriminate particles of different sizes from the recorded AE signals. The system has several appealing features such as online measurement, high sensitivity, simple structure, minimum invasiveness and low cost, which make it well suited for industrial applications.

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通过声发射检测和信号分析在线粒度测量

无论是生物质发电厂还是燃煤发电厂，准确确定颗粒尺寸分布对于实现最佳燃烧效率和最小化污染物排放都至关重要。介绍了一种基于声发射法的颗粒粒径分布在线连续测量仪器系统。脉冲声发射信号是由颗粒撞击产生的，金属波导突出到流中，携带有关颗粒尺寸的信息。通过粒子冲击的物理模拟，建立了粒子尺寸与声发射峰值电压之间的关系。利用峰值检测技术，提出了一种粒径算法。用玻璃微珠进行的实验结果表明，该系统能够从记录的声发射信号中识别不同大小的颗粒。该系统具有在线测量、灵敏度高、结构简单、侵入性小、成本低等特点，非常适合工业应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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