Erscheint 4 Ausgaben pro Jahr
ISSN Druckformat: 1065-3090
ISSN Online: 1940-4336
Indexed in
APPLICATION OF NEURAL NETWORKS TO QUANTITATIVE FLOW VISUALIZATION
ABSTRAKT
It is an important challenge to analyze a highly complex flow field in engineering, science, agriculture, and medicine. For such an analysis, it is essential to measure instantaneous physical quantities over the entire flow field. Recently, some flow measurement systems have been developed using image processing to obtain useful information from visualized flow images. The technique, however, has some problems.
This report presents two new algorithms using neural networks for improving the measured values obtained by the image processing. One is a new algorithm for formularizing the relationship between color and temperature using the Back-propagation neural networks. The formularization is needed for the analysis of thermal flows using a thermo-sensitive liquid crystal method. The algorithm extends the measurement range. The other new algorithm uses the Hopfield neural networks for determining erroneous vectors, which appear in a velocity vector distribution estimated by a correlation method. The Hopfield network can distinguish erroneous from correct vectors even if the density of the erroneous vectors in a flow field is high.
-
Grewal G S, Bharara M, Cobb J E, Dubey V N, Claremont D J, A novel approach to thermochromic liquid crystal calibration using neural networks, Measurement Science and Technology, 17, 7, 2006. Crossref
-
Okamoto K., Three-dimensional particle cluster tracking algorithm using affine transformation, Journal of Visualization, 1, 2, 1998. Crossref
-
SHINOKI Masatoshi, OZAWA Mamoru, OKADA Toshifumi, KIMURA Ichiro, 3-D Velocity Measurement of Natural Convection Using Image Processing., JSME International Journal Series B, 44, 3, 2001. Crossref
-
Fujisawa N., Ikeda H., Saito R., Yokota M., Measurement of temperature and velocity fields in a heater unit by liquid crystal thermometry and particle image velocimetry, Journal of Visualization, 3, 3, 2000. Crossref
-
Kimura I., Hyodo T., Ozawa M., Temperature and velocity measurement of a 3-D thermal flow field using thermo-sensitive liquid crystals, Journal of Visualization, 1, 2, 1998. Crossref
-
Kaga A., Yamaguchi K., Inoue Y., Kondo A., 3-D airflow measurement using smoke particles, Journal of Visualization, 1, 3, 1999. Crossref
-
Yoon Seok Ho , Kim Min Soo , Investigation of Circumferential Variation of Heat Transfer Coefficients During In-Tube Evaporation for R-22 and R-407C Using Liquid Crystal , Journal of Heat Transfer, 124, 5, 2002. Crossref
-
Shrestha M. L., Kaga A., Kondo A., Inoue Y., Sugisawa M., Sapkota B., Simulation of winter air pollution dispersion mechanism of Kathmandu valley by water-tank experiment, Journal of Visualization, 7, 4, 2004. Crossref
-
Senda Mamoru, Inaoka Kyoji, Toyoda Daisuke, Sato Soichi, Heat transfer and fluid flow characteristics in a swirling impinging jet, Heat Transfer—Asian Research, 34, 5, 2005. Crossref
-
Fujisawa N., Adrian R. J., Three-dimensional temperature measurement in turbulent thermal convection by extended range scanning liquid crystal thermometry, Journal of Visualization, 1, 4, 1999. Crossref
-
Lee C.J., Bae D.S., A Study on the Visualization of Temperature Field Using Neural Network, Journal of the Korea Society For Power System Engineering, 16, 3, 2012. Crossref
-
Tianding Chen, An affine-model-based technique for fast DPIV computation, Image and Vision Computing, 24, 5, 2006. Crossref
-
Inaoka Kyoji, Nakamura Kazuya, Senda Mamoru, Heat transfer control of a backward-facing step flow in a duct by means of miniature electromagnetic actuators, International Journal of Heat and Fluid Flow, 25, 5, 2004. Crossref
-
Kuroe Y., Kimura I., Modeling of unsteady heat conduction field by using composite recurrent neural networks, Proceedings of ICNN'95 - International Conference on Neural Networks, 1, 1995. Crossref
-
Okamoto K, Nishio S, Saga T, Kobayashi T, Standard images for particle-image velocimetry, Measurement Science and Technology, 11, 6, 2000. Crossref
-
Xiaoxia Luo, Yafei Yuan, Pengtao Jia, A Visualization Method Based on Discrete Flow Field Continuity Problem, 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), 2018. Crossref
-
Nakabe K., Inaoka K., Ai T., Suzuki K., Flow visualization of longitudinal vortices induced by an inclined impinging jet in a crossflow—effective cooling of high temperature gas turbine blades, Energy Conversion and Management, 38, 10-13, 1997. Crossref
-
Nakabe K, Suzuki K, Inaoka K, Higashio A, Acton J.S, Chen W, Generation of longitudinal vortices in internal flows with an inclined impinging jet and enhancement of target plate heat transfer, International Journal of Heat and Fluid Flow, 19, 5, 1998. Crossref
-
Funatani Shumpei, Tsukamoto Yusaku, Toriyama Koji, Temperature Measurement of Hot Airflow Using Ultra-Fine Thermo-Sensitive Fluorescent Wires, Sensors, 22, 9, 2022. Crossref