Publicou 4 edições por ano
ISSN Imprimir: 1065-3090
ISSN On-line: 1940-4336
Indexed in
CONCENTRATION ESTIMATION IN TWO-DIMENSIONAL BLUFF BODY WAKES USING IMAGE PROCESSING AND NEURAL NETWORKS
RESUMO
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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Young David L., Larsson Ann I., Webster Donald R., Structure and mixing of a meandering turbulent chemical plume: concentration and velocity fields, Experiments in Fluids, 62, 12, 2021. Crossref