首页> 外文期刊>Journal of Zhejiang University. Science, A >Determination of particle size distribution by multi-scale analysis of acoustic emission signals in gas-solid fluidized bed
【24h】

Determination of particle size distribution by multi-scale analysis of acoustic emission signals in gas-solid fluidized bed

机译:气固流化床中声发射信号多尺度分析的粒度分布的测定

获取原文
           

摘要

particle size distribution (PSD) is an important parameter in the process of fluidization, and it always plays a crucial role in a gas-solid fluidized system. A PSD model for on-line PSD determination based on acoustic emission (AE) measurement was developed according to the mechanism of particle collision with the inner wall of the cylinder and multi-scale wavelet decomposition analysis. This PSD model illuminates the quantitative relationship between the energy percentage of AE signals for different scales and the PSD, which indicates the feasibility of the application of the PSD model. Experiments were undertaken both in lab and plant gas-solid fluidized setup with polyethylene particles, and the parameters of the PSD model were calibrated and revised. The experimental conditions and results proved that the PSD model was suitable for on-line measurement and was sufficiently sensible and accurate. Concerning agglomeration, the PSD model also showed exact serviceability on detecting the onset of agglomeration by abnormal PSD, and the result agreed with that from the radiation method. Ultimately, AE measurement was found to be a reliable and credible means for understanding the PSD information that affects the behavior of a system, which can provide valuable guidance for practical applications.
机译:粒度分布(PSD)是流化过程中的重要参数,并且始终在气固流化系统中起着至关重要的作用。根据声发射(AE)测量的基于声发射(AE)测量的PSD模型是根据颗粒碰撞与气缸内壁的机制和多尺度小波分解分析。该PSD模型照亮不同尺度和PSD的AE信号的能量百分比之间的定量关系,这表明了PSD模型的应用的可行性。实验在实验室和植物气体固体流化装置中进行了聚乙烯颗粒,并且PSD模型的参数被校准并修改。实验条件和结果证明了PSD模型适用于在线测量,并且足够明智和准确。关于聚集,PSD模型还显示出在检测异常PSD的凝聚开始上的精确可用性,结果与辐射法同意这一点。最终,发现AE测量是一种可靠且可靠的方法,以了解影响系统行为的PSD信息,这可以为实际应用提供有价值的指导。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号