Header menu link for other important links
Experiment driven ANN-GA based technique for optimal distribution of discrete heat sources under mixed convection
, C. Balaji, S.P. Venkateshan
Published in Taylor and Francis Ltd.
Volume: 28
Issue: 3
Pages: 298 - 315
This article reports the results of mixed convection heat transfer studies from five heat sources (aluminum) mounted at different positions on a substrate board (Bakelite). The goal is to determine the optimal arrangement, such that, the maximum temperature excess is minimum among all the possible configurations. For accomplishing this, a completely experimental driven hybrid optimization strategy, that combines Artificial neural network (ANN) with Genetic algorithm (GA) is used. Initial optimization studies are carried out by employing a heuristic non-dimensional geometric parameter λ, which is identified to be the key parameter to decide the maximum temperature in the system. © 2014 Taylor & Francis Group, LLC.
About the journal
JournalData powered by TypesetExperimental Heat Transfer
PublisherData powered by TypesetTaylor and Francis Ltd.