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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.1

ISSN Печать: 1065-3090
ISSN Онлайн: 1940-4336

Выпуски:
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Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v8.i2-3.30
19 pages

CONCENTRATION ESTIMATION IN TWO-DIMENSIONAL BLUFF BODY WAKES USING IMAGE PROCESSING AND NEURAL NETWORKS

Murthy Balu
University of Saskatchewan, Collage of Engineering, 57 Campus Drive, Saskatoon, S7N 5A9, Canada
Ram Balachandar
University of Saskatchewan, Collage of Engineering, 57 Campus Drive, Saskatoon, S7N 5A9; Mechanical, Automotive and Materials Engineering, University of Windsor, Windsor, Ontario, N9B3P4, Canada; Department of Civil and Environmental Engineering, University of Windsor, Windsor, Ontario, N9B 3P4, Canada
Hugh Wood
University of Saskatchewan, Collage of Engineering, 57 Campus Drive, Saskatoon, S7N 5A9, Canada

Краткое описание

Knowledge of the variation of scalar quantities like concentration is required to understand the mixing and dilution characteristics of environmentally important flow fields. The present study deals with the development of a nonintrusive flow visualization technique using neural networks to study the topology of dye concentration distribution in two-dimensional flow fields. Aflow fast a bluff body in a shallow open-channel flow is used to illustrate the technique developed. The present study aims to eliminate problems associated with previous image to concentration conversion techniques. The flow field is captured using a video camera. The captured images are then converted into concentration data with the aid of neural network. To this end, the use of four different networks with varying input data was investigated. The estimations were validated using concentration measurements conducted by a light absorption probe.


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