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On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis

机译:通过声发射检测和信号分析在线确定气动输送颗粒的尺寸

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Accurate measurement of the particle size distribution of pneumatically conveyed pulverized fuel is critical to achieving optimal combustion efficiency and minimum pollutant emissions at coal and biomass-fired power plants. This paper presents a prototype instrumentation system for the on-line continuous measurement of particle size distribution through acoustic emission (AE) detection. The proposed method extracts particle size information from the impulsive AE signals arising from impacts of particles with a metallic waveguide protruding into the flow. The relationship between the particle size and the peak AE voltage is established through mathematical modeling of the particle impact process. Identification of the peak AE voltage is achieved with an energy-based peak detection algorithm. 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 performs better in terms of accuracy for higher speed, lower concentration particles as the impact signals are stronger and better separated in the time domain.
机译:精确测量气动输送的粉状燃料的粒度分布对于在燃煤和生物质发电厂实现最佳燃烧效率和减少污染物排放至关重要。本文提出了一种原型仪器系统,用于通过声发射(AE)检测在线连续测量粒度分布。所提出的方法从脉冲AE信号中提取粒度信息,该脉冲AE信号是由于带有金属波导伸入流中的粒子的撞击而产生的。颗粒尺寸和峰值AE电压之间的关系是通过颗粒碰撞过程的数学模型建立的。峰值AE电压的识别是通过基于能量的峰值检测算法实现的。用玻璃珠获得的实验结果表明,该系统能够从记录的AE信号中区分出不同大小的颗粒。由于冲击信号在时域中更强且分离效果更好,因此该系统在较高速度,较低浓度颗粒的精度方面表现更好。

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