基于蒙特卡罗模型的高浓度浆液细度在线测量
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TB551 TH89

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国家自然科学基金(52376162)项目资助


On-line measurement of high concentration slurry fineness based on Monte Carlo model
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    摘要:

    近年来颗粒粒径测量问题受到了国内外的广泛研究。 针对燃煤电厂高浓度脱硫石灰石浆液细度在线测量,将基于蒙特 卡罗方法的声衰减模型拓展至高浓度范围,高浓度蒙特卡罗模型(HC-MCM)预测衰减系数与实验测量值相吻合。 构建 HCMCM 矩阵用于颗粒粒径分布的反演可减小计算时间,且差分进化算法的计算结果与设定粒径和分布宽度的相对误差小于 1% 。 搭建基于透射和反射法的双模式超声检测装置并开发软件测量系统,加工适用于高浓度浆液细度测量的透射传感器和超声探 针,依托燃煤电厂完成长达 168 h 的浆液细度在线测量实验。 结果表明,两种模式超声衰减谱的变化趋势和数值大小基本吻 合。 粒径分布参数 DV50 与激光粒度仪测量结果的相对误差小于 8% ,其粒径分布满足燃煤电厂成品石灰石浆液的细度要求。

    Abstract:

    In recent years, particle size and concentration measurements have been widely studied at home and abroad. An ultrasonic attenuation model based on the Monte Carlo method is extended to a high concentration for online measurement of desulphurization limestone slurry fineness in coal-fired power plants. The attenuation coefficients of the high-concentration Monte Carlo model ( HCMCM) are consistent with experimental measurement values. The model matrix constructed by HC-MCM can be used for the inversion of particle size distribution to reduce the calculation time. The relative deviation between the calculated value by the differential evolutionary algorithm and the set diameter and distribution width is less than 1% . A transmission and reflection dual-mode ultrasonic measurement device and software measurement system have been developed. The transmission sensor and ultrasonic probe are made to be suitable for the fineness measurement of high-concentration slurry, and have completed the 168-hour online measurement experiments relying on a coal-fired power plant. The results show that the trend and value of the attenuation spectra obtained by the ultrasonic transmission and reflection methods are basically the same, and the relative deviation between the volume median diameter DV50 and the measurement results of the laser particle analyzer is less than 8% . Its particle size satisfies the fineness requirements of finished limestone slurry in coal-fired power plants.

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张世玮,刘鸿彬,陈朝雷,田 昌,苏明旭.基于蒙特卡罗模型的高浓度浆液细度在线测量[J].仪器仪表学报,2024,44(1):170-179

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  • 在线发布日期: 2024-04-10
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