Development of a concentration measurement technique for steady state solid-liquid mixing using a neural network

Springer Science and Business Media LLC - 2013
Deog Hee Doh1, Joo Ho Yum2, Gyeong Rae Cho1, Myung Ho Kim3, Gyong Won Ryu3, Masahiro Takei4
1Division of Mechanical and Energy Systems Engineering, Korea Maritime University, Yeongdo-gu, Busan, Korea
2Graduate School, Korea Maritime University, Yeongdo-gu, Busan, Korea
3R&D Institute-5, Agency for Defense Development, Yuseong, Daejeon, Korea
4Graduate School of Mechanical Engineering Artificial Science Division, Chiba University, Chiba, Japan

Tóm tắt

A measurement technique that can measure the concentration of the solid particles in liquid flow was developed. The measurement system consists of a color camera and three LCD displays. The solid particles were put at the bottom of a cylindrical mixing tank in which JetA1 oil was filled. Transient mixing of the solid particles was performed by rotating a propeller type agitator with three different rotation speed (500, 600, 700 r/min). Mixing state was visualized by the LCD displays and a color camcorder. The color intensity of the glass particles changes with their concentration. The color information was decoded into three principle colors R, G, and B so that, the calibration curve of color-to-concentration was performed using these information. A neural network was used for this calibration. The transient concentration field of the solid particles was quantitatively visualized.

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Tài liệu tham khảo

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