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

被引:0
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作者
Deog Hee Doh
Joo Ho Yum
Gyeong Rae Cho
Myung Ho Kim
Gyong Won Ryu
Masahiro Takei
机构
[1] Korea Maritime University,Division of Mechanical and Energy Systems Engineering
[2] Graduate School,R&D Institute
[3] Korea Maritime University,5
[4] Agency for Defense Development,Graduate School of Mechanical Engineering Artificial Science Division
[5] Chiba University,undefined
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关键词
Solid particles; JetA1 oil; Transient mixing; Neural Network; Concentration;
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摘要
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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页码:478 / 483
页数:5
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