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Implementation of Generalized Regression Neural Network Prediction Tool for Evaluating Thermal Performance in a Heat Exchanger by using Triple Elliptical Leaf Angle Strips with Same Orientation and Same Direction

J.Bala Bhaskara Rao, V. Ramachandra Raju

Abstract


Heat exchangers have enormous power in changing the way we look around in this world. Since we find its applications at almost every nook and corner of this world so enhancement methods in heat exchangers leads to a great innovation. Here the augmentation technique of passive method of leaf strip insert is utilized. Three elliptical shaped leaf strips with same orientation and along same direction are inserted in the tube side for fluid flow. The strips are placed at different angular orientation ranging from 0° to 180° with arrangements of 10° each at 50 mm separated positions are placed. The obtained results are compared with a statistical tool of GRNN (Generalized Regression Neural Network). An algorithm is created by using the functions of dependent variables and independent variables and outputs are obtained. A comparison between these values of experiment and GRNN are done to get the percentage of error between them.


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