Nusselt Number Estimation along a Wavy Wall in an Inclined Lid-driven Cavity using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-26-4_011
تاریخ نمایه سازی: 17 خرداد 1393
Abstract:
In this study, an adaptive neuro-fuzzy inference system (ANFIS) was developed to determine the Nusselt number (Nu) along a wavy wall in a lid-driven cavity under mixed convection regime. Firstly,the main data set of input/output vectors for training, checking and testing of the ANFIS was preparedbased on the numerical results of the lattice Boltzmann method (LBM). Then, the ANFIS was developed and validated using the randomly selected data series for network testing. The appliedANFIS model has four inputs including Reynolds number (Re), Richardson number (Ri), wavy wallamplitude (A) and inclination angle (θ). Nusselt number (Nu) was the unique output of the ANFIS model. To select the best ANFIS model, the average errors of various architectures for three differentdata series of training, checking and testing of the main data set are calculated. Results indicated thatthe developed ANFIS has acceptable performance to predict the Nu number for the cited convection problem. This method can reduce computing time and cost considering acceptable accuracy of results
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Authors
p Pashaie
Department of Mechanical Engineering, Babol University of Technology, P.O. Box: ۴۸۴, Babol, Iran
m Jafari
Department of Mechanical Engineering, Babol University of Technology, P.O. Box: ۴۸۴, Babol, Iran
h Baseri
Department of Mechanical Engineering, Babol University of Technology, P.O. Box: ۴۸۴, Babol, Iran
m Farhadi
Department of Mechanical Engineering, Babol University of Technology, P.O. Box: ۴۸۴, Babol, Iran