• CN:11-2187/TH
  • ISSN:0577-6686

›› 2004, Vol. 40 ›› Issue (8): 160-165.

• 论文 • 上一篇    下一篇

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光电式固体微粒流量计的理论模型与试验研究

李扬;郑莹娜;汪仁煌   

  1. 广东工业大学信息工程学院;广东工业大学自动化学院
  • 发布日期:2004-08-15

THEORETIC MODEL AND EXPERIMENT RESEARCH OF OPTOELECTRONIC GRANULAR SOLID FLOWMETER

Li Yang;Zheng Yingna;Wang Renhuang   

  1. School of Information Engineering, Guangdong University of Technology Automation School, Guangdong University of Technology
  • Published:2004-08-15

摘要: 固体微粒的质量流量是工业过程的难测参数之一。传统测量方法一般采用冲量式质量流量计或体积流量计与颗粒密度计组合仪,前者对稀疏微粒流不适用及动态测量准确度不高,后者极为依赖于流体的温度和压力变化。根据消光法原理和Radon逆变换原理,通过光学扫描和图像重建技术获得了固体微粒的质量流量和管道流的流型变化。在试验研究中,利用自制的15×5扇束投影光电传感器和试验装置,对自一定高度下落的石英砂(粒度为0.5~1.0 mm)进行了流量测量及动态成像。试验结果表明,该光测方法的误差率低于1%,颗粒粒度的适用范围为0~3 mm,流量上下限分别1.7×10?2 kg/h和1 350 kg/h,试验结果对于这一新型光测方法的实际应用有指导意义。

关键词: 光学计量, 计算机层析成像, 微粒固体, 质量流量计, 云计算 智能机床 控制体系 云控制体系

Abstract: The quality flux of granular solid is one of difficult parameters in technical press. The traditional methods for measuring the quality flux of granular solid include with impact quality flowmeter, or with the combination of volume flowmeter and densimeter, the former is not fit applying to thin particulate flow and it’s accuracy is not high for dynamic measurement; the later is rely on the change of temperature and pressure. According to the extinction methods and Radon Inverse transform, the quality flux and flow regime are obtained by with optical scanning and tomographic imaging technique. In the experiment, by utilizing home-made sensor with 15×5 fan beam stracture, the flux measurement and dynamic imaging are carried out for arenaceous quartz(granularity is 0.5~ 1.0 mm) which fall down from a certain height. The experiment result illuminate that the measurement accuracy is under 1%, the range of granularity is between 0~3 mm, and the lower and upper limit for flux are 1.7×10–2 kg/h and 1 350 kg/h. The experiment result will be a guidance for actual application with this novel optical measurement.

Key words: Computed tomography, Granular solid, Optical measurement, Quality flowmeter, Cloud computing, Intelligent machine tool, Control system, Cloud control system

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