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Comparison between the artificial neural network system and SAFT equation in obtaining vapor pressure and liquid density of pure alcohols

Rohani, A. A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.eswa.2010.07.099
  3. Abstract:
  4. Vapor pressure and liquid density of 20 pure alcohols were correlated using an artificial neural network (ANN) system and statistical associating fluid theory (SAFT) equation of state. The SAFT equation has five adjustable parameters as temperature-independent segment diameter, square-well energy, number of segment per chain, association energy and association volume. These parameters can be obtained by a non-linear regression method using the experimental vapor pressure and liquid density data. In continue, the vapor pressure and liquid densities of pure alcohols were estimated by using an artificial neural network (ANN) system. In the neural network system, it is assumed that thermodynamic properties of pure alcohols depend on temperature, critical properties and acentric factor. The best network topology was obtained as (4-10-2). The weights connection and biases were obtained using batch back propagation (BBP) method for 611 experimental data points. The average absolute deviation percent (ADD%) for vapor pressure of pure alcohols for ANN system and SAFT equation of state are 3.593% and 3.378%, respectively. Also, the average absolute deviation percent (ADD%) for liquid density of pure alcohols for ANN system and SAFT equation of state are 0.792% and 1.367%, respectively. The results emphasized that the artificial neural network can more accurately predict thermophysical properties of pure alcohols than the SAFT equation of state
  5. Keywords:
  6. Alcohol ; Phase behavior ; Acentric factors ; Adjustable parameters ; Artificial Neural Network ; Association energies ; Association fluid ; Average absolute deviation ; Critical properties ; Equation of state ; Experimental data ; Liquid density ; Network topology ; Neural network systems ; Non-linear regression method ; SAFT ; Square-well ; Statistical associating fluid theory ; Temperature independents ; Thermo-physical property ; Density of liquids ; Electric network topology ; Equations of state of liquids ; Hydrostatic pressure ; Liquids ; Organic polymers ; Vapor pressure ; Vapors ; Neural networks
  7. Source: Expert Systems with Applications ; Volume 38, Issue 3 , 2011 , Pages 1738-1747 ; 09574174 (ISSN)
  8. URL: http://www.sciencedirect.com/science/article/pii/S095741741000727X