인공지능을 이용한 이종액체 정상 상태 혼합의 혼합과정 해석

• Published in: 한국수소 및 신에너지학회 논문집 Vol. 29; no. 5; pp. 523 - 529
• Main Authors: 공대경(Daekyeong Kong), 염주호(Juho Yum), 조경래(Gyeongrae Cho), 도덕희(Deoghee Doh)
• Format: Journal Article
• Language: Korean
• Published: 한국수소및신에너지학회 2018
• Subjects: 기계공학; 이종액체; Color-to-concentration calibration; 입자영상유속계; 정상 상태혼합; Dimethylfuran oil; JetA1; PIV; 디메칠푸란오일; 색상대비 농도 교정; 제트유; Steady state mixing; Two liquids
• ISSN: 1738-7264; 2288-7407

Two liquids which are generally used as fuels of rockets are mixed and their mixing process is quantitatively investigated by the use of particle image velocimetry (PIV). As working fluids for the liquid mixing, Dimethylfuran (DMF) and JetA1 oils have been used. Since the specific gravity of DMF is larger than that of JetA1 oil, the DMF oil has been set at the lower part of the JetA1 oil. For better visualization of the mixing process, Rhodamin B powder has been blended into the DMF oil. An agitator having 3 blades has been used for mixing the two liquids. For quantitative visualization, a LCD monitor has been used as a light source. A color camera, camcoder, has been used for recording the mixing process. The images captured by the camcoder have been digitized into three color components, R, G, and B. The color intensities of R, G, and B have been used as the inputs of the neural network of which hidden layer has 20 neurons. Color-to-concentration calibration has been performed before commencing the main experiments. Once this calibration is completed, the temporal changes of the concentration of the DMF has been quantitatively analyzed by using the constructed measurement system.