Volume 19 (2022)
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)
Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases

R. Beigzadeh; R. Ozairy

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

https://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

Transport Phenomena,
Thermal Conductivity of Water Based Nanofluids Containing Decorated Multi Walled Carbon Nanotubes with Different Amount of TiO2 Nanoparticles

S. Abbasi; S. M. Zebarjad; S. H. NoieBaghban; A. Youssef; M. S. Ekrami-Kakhki

Volume 12, Issue 1 , January 2015, , Pages 30-40

Abstract
  In this paper, we report for the first time, thermal conductivity behavior of nanofluids containing decorated MWCNTs with different amount of TiO2 nanoparticles. TEM image confirmed that the outer surface of MWCNTs successfully decorated with TiO2 nanoparticles. The results of thermal conductivity behavior ...  Read More

Thermodynamics,
Thermo Physical Properties of Some Physical and Chemical Solvents at Atmospheric Pressure
Volume 10, Issue 4 , October 2013, , Pages 43-54

Abstract
  ne"> In this paper, the thermal properties including molar heat capacity, CP, thermal conductivity, λ, and thermal diffusivity, αD, of the pure physical solvents sulfolane (SFL), N,N-dimethylformamide (DMF), dimethylsulfoxide (DMSO), ethylene glycol (ETG), choloroform (CCL3H), acetonitrile ...  Read More