Volume 18 (2021)
Volume 17 (2020)
Volume 16 (2019)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 12 (2015)
Volume 11 (2014)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
1. Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases

R. Beigzadeh; R. Ozairy

Volume 17, Issue 2 , Spring 2020, , Pages 44-55

http://dx.doi.org/10.22034/ijche.2020.249879.1349

Abstract
  The artificial neural network (ANN) approach was applied to develop simple correlations for predicting the thermal conductivity of nitrogen-methane and carbon dioxide-methane mixtures. The genetic algorithm method was used to obtain global optimum parameters (weights and biases) of the ANNs. The methane ...  Read More

2. Computational fluid dynamics study and GA modeling approach of the bend angle effect on thermal-hydraulic characteristics in zigzag channels

S. Salimi; R. Beigzadeh

Volume 16, Issue 3 , Summer 2019, , Pages 70-83

Abstract
  In the study, the thermal-hydraulic performance of the zigzag channels with circular cross-section was analyzed by Computational Fluid Dynamics (CFD). The standard K-Ꜫ turbulent scalable wall functions were used for modeling. The wall temperature was assumed constant 353 K and water was used as the ...  Read More

Transport Phenomena,
3. The CFD Provides Data for Adaptive Neuro-Fuzzy to Model the Heat Transfer in Flat and Discontinuous Fins

R. Beigzadeh

Volume 16, Issue 2 , Spring 2019, , Pages 57-69

Abstract
  In the present study, Adaptive Neuro–Fuzzy Inference System (ANFIS) approach was applied for predicting the heat transfer and air flow pressure drop on flat and discontinuous fins. The heat transfer and friction characteristics were experimentally investigated in four flat and discontinuous fins ...  Read More