Development of a Concentration Measurement Technique for Steady State Solid-liquid Mixing using a Neural Network

• Published in: Journal of thermal science 2013-10, Vol.22 (5), p.478-483
• Main Authors: Doh, Deog Hee, Yum, Joo Ho, Cho, Gyeong Rae, Kim, Myung Ho, Ryu, Gyong Won, Takei, Masahiro
• Format: Article
• Language: English
• Subjects: Classical and Continuum Physics; Engineering Fluid Dynamics; Engineering Thermodynamics; Heat and Mass Transfer; Physics; Physics and Astronomy; 固体颗粒; 固液混合; 彩色摄像机; 测量技术; 浓度场; 液晶显示器; 神经网络; 颜色信息
• ISSN: 1003-2169; 1993-033X
• DOI: 10.1007/s11630-013-0651-9

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 per- formed 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 calibra- tion 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.