Lu Jian-Gang
State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China
Liu Yu-Cong
State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China
Ye Xin-Xin
Bank of China Head Office, Fuxingmennei Street 1, Beijing, 100818, China
Shi Ying-zi
College of Education, Hangzhou Normal University, Hangzhou, 311121, China
Gao Hua
Institute of Information Technology, Zhejiang Institute of Communications, Hangzhou, 311112, China
Yang Jiang
State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China
ABSTRACT
Based on the image processing of the liquid droplets at the outlet of a single micro pipe, a novel low cost micro flow measurement technology for micro-chemical process is introduced. The connected component labeling algorithm is implemented firstly to extract a rough contour of the droplet from binary image. The droplet contour is refined by Laplace-Young equation based fitting which is to use Newton-Raphson method to optimize the shape parameters. Then the droplet volume is obtained by integration method. Finally, the flow rate can be calculated periodically through the real-time calculation of the droplet volume. The experimental results illustrate that the total average absolute deviation (AAD%) of the measurements is 2.09% over the micro liquid flow rate range of 5-60ml/h. This novel method can be readily extended to measure multi-pipe micro flows simultaneously which is of great significance for micro chemical plants where a large number of pipes may be used.
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How to cite this article
Lu Jian-Gang, Liu Yu-Cong, Ye Xin-Xin, Shi Ying-zi, Gao Hua and Yang Jiang, 2013. Image Based Micro Flow Measurement Technology. Information Technology Journal, 12: 4901-4905.
DOI: 10.3923/itj.2013.4901.4905
URL: https://scialert.net/abstract/?doi=itj.2013.4901.4905
DOI: 10.3923/itj.2013.4901.4905
URL: https://scialert.net/abstract/?doi=itj.2013.4901.4905
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