Computational Fluid Dynamics and Artificial Neural Network Modeling of Air Forced Convection on Mini Fins
Publish place: 15th Iranian Natioanl Congress of Chimical Engineering
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICHEC15_290
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
In this research an Artificial Neural network (ANN) is applied for estimating the heat transfer characteristic of plain mini-fin surfaces. The numerical data were collected by Computational Fluid Dynamics (CFD) simulation and the obtained data were used for input to the ANN modeling. The CFD simulation carried out by using the Fluent software. The output (target) data of the ANN model is Nusselt number (Nu) and input data are Reynolds number (Re), fin pitch ratio (p/H), and fin thickness ratio (t/H). The validity of the neural network modeling was evaluated through a testing data set, which were randomly extracted from the database. The estimated results of the developed ANN model were compared with the CFD resulted data for both training and testing data sets.
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Authors
Reza Beigzadeh
CFD Research Center, Chemical Engineering Department, Razi University, Kermanshah, Iran
Marzieh Hajialyani
CFD Research Center, Chemical Engineering Department, Razi University, Kermanshah, Iran
Masoud Rahimi
CFD Research Center, Chemical Engineering Department, Razi University, Kermanshah, Iran
Ammar abdulaziz Alsairafi
Faculty of Mechanical Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait
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