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作 者:魏舸裔[1] 周业丰[1] 廖祖维[1] 王靖岱[1] 阳永荣[1]
机构地区:[1]浙江大学化学工程国家重点实验室,化学工程与生物工程学系,浙江杭州310027
出 处:《石油学报(石油加工)》2011年第5期773-779,共7页Acta Petrolei Sinica(Petroleum Processing Section)
基 金:国家自然科学基金-石油化工联合基金项目(20736011)资助;中央高校基本科研业务费专项资金(2009QNA4028)资助
摘 要:固体颗粒质量流量是工业生产中最基本和最重要的参数之一。以空气-聚丙烯颗粒体系在循环流化床反应器的流动为例,根据颗粒撞击壁面时,在特定频段下产生声发射信号的原理,利用声发射(AE)信号检测技术,结合小波包-偏最小二乘法(PLS)分析,分别考察了表观气速及静床高度对固体质量颗粒流量的影响,并对0~900kHz频率范围内的声发射信号进行4尺度小波包分解,将112~450kHz的特征频段内的能量值作为观测数据,采用PLS拟合得到固体颗粒质量流量的预测模型。结果表明,模型的预测值与称重法获得的质量流量相比,在考察的气速范围和静床高度范围内,平均相对误差为6.5%。声发射检测技术能实现高速流态化中固体颗粒质量流量快速准确的在线监测。Particle mass flowrate is one of the most basic and important parameters in industrial manufacturing.In this work,the system of air and polypropylene in a circulating fluidized bed reactor was used as an example.Based on the mechanism that when particles impact the wall,acoustic emission(AE) signals will be emitted in specific frequency bands,then the particle mass flowrate in high-speed fluidization could be detected,and by using the wavelet packet transformation and partial least square(PLS) method,the impacts of superficial gas velocity and static bed height on particle mass flowrate were investigated.At the same time the obtained AE signals were analyzed by 4 scales wavelet packet transformation in the frequency range from 0 to 900 kHz.According to the data of energy measured in the frequency range of 112-450 kHz,a regression model between AE energy and particle mass flowrate was proposed.Results showed that the average absolute relative error between the values calculated with the regression model and the experimental values obtained by weighing method was 6.5%.PLS method based on multi-scale analysis of AE signals is feasible for the detection of particle mass flowrate in high-speed fluidization.
关 键 词:声发射(AE) 高速流态化 质量流量 偏最小二乘法(PLS)
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