Evaluation of density, viscosity, surface tension and CO<sub>2</sub> solubility for single, binary and ternary aqueous solutions of MDEA, PZ and 12 common ILs by using artificial neural network (ANN) technique

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Evaluation of density, viscosity, surface tension and CO₂ solubility for single, binary and ternary aqueous solutions of MDEA, PZ and 12 common ILs by using artificial neural network (ANN) technique

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作者：Karim Golzar ; Hamid Modarress ; ^{hmodares@aut.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; Sepideh Amjad-Iranagh
关键词：Artificial neural network technique ; CO2 solubility ; Density ; Viscosity ; Surface tension ; N-Methyldiethanolamine ; Piperazine ; Ionic liquid
刊名：International Journal of Greenhouse Gas Control
出版年：2016
出版时间：October 2016
年：2016
卷：53
期：Complete
页码：187-197
全文大小：2587 K

文摘

•: Predicting the ρ $ρ$ , μ $μ$ , σ $σ$ and α_CO₂ $α_{C O_{2}}$ for single aqueous solution of amine-ILs with ANN technique.
•: Predicting the ρ $ρ$ , μ $μ$ , σ $σ$ and α_CO₂ $α_{C O_{2}}$ for binary aqueous solution of amine-ILs with ANN technique.
•: Predicting the ρ $ρ$ , μ $μ$ , σ $σ$ and α_CO₂ $α_{C O_{2}}$ for ternary aqueous solution of amine-ILs with ANN technique.
•: Using Levenberg-Marquardt and tan-sigmoid respectively as LA and TF in ANN models.