Abstract
The paper proposes a new method based on artificial neural network (ANN) for estimation of pressure loss coefficients in Tee Junction for dividing flows. The selected features are given as input to the ANN including flow and geometry parameters of Tee Junction for training and pressure loss coefficients are estimated in an efficient manner. The paper also gives comparison results of ANN based approach with the experimental results of pressure loss coefficients that demonstrate the effectiveness and accuracy of the proposed ANN based estimates for varying geometries and flow parameters in dividing flows.
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