Modeling the hydrogen solubility in methanol, ethanol, 1-propanol and 1-butanol
作者： Mani Safamirzaei , Hamid Modarress , Mohsen Mohsen-Nia
DOI: 10.1016/J.FLUID.2009.10.012
关键词: Hydrogen 、 Flexibility (engineering) 、 Primary alcohol 、 Equation of state 、 Artificial neural network 、 Solubility 、 Biological system 、 Chemistry 、 Reliability (computer networking) 、 Propanol
摘要: Abstract Modeling hydrogen solubility in primary normal alcohols (methanol, ethanol, 1-propanol and 1-butanol) has been studied this article. Equations of state (EOS), simple correlations Artificial Neural Networks (ANN) have compared to find the best modeling technique. Utilizing an equation requires iterative calculation procedure optimized interaction parameters. Iterative is not suitable when time important parameters are always available. In addition, selection proper mixing rules serious problems. Simple can be applied avoid calculations but they limited flexibility. Network alternative traditional techniques. networks flexible after training, very fast. 2-3-1 used model hydrogen–alcohol systems negligible errors indicate reliability method. However, high performance neural which trained for. number adjustable a great disadvantage. Number carbon atoms train one network for all systems. 3-4-1 tested, Average Relative Deviation (ARD) calculated 5% 3% training testing stages, respectively. Beside excellent accuracy, less provide good estimations similar
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