RT Journal Article ID 637c3a8a03e7171c A1 Balu, Murthy A1 Balachandar, Ram A1 Wood, Hugh T1 CONCENTRATION ESTIMATION IN TWO-DIMENSIONAL BLUFF BODY WAKES USING IMAGE PROCESSING AND NEURAL NETWORKS JF Journal of Flow Visualization and Image Processing JO JFV YR 2001 FD 2001-09-01 VO 8 IS 2-3 OP 19 AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/52b74bd3689ab10b,56351a531f4aff35,637c3a8a03e7171c.html