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Articles by Saeid Baroutian
Total Records ( 2 ) for Saeid Baroutian
  Saeid Baroutian , Mohamed Kheireddine Aroua , Abdul Aziz Abdul Raman and Nik Meriam Nik Sulaiman
  In this study a new approach based on Artificial Neural Networks (ANNs) has been designed to predict the density of various vegetable oil-based ethyl esters biodiesel. The experimental densities data measured at various temperatures from 15 to 90 °C at 1 °C interval were used to train the networks. The present work, applied a three layer back propagation neural network with nine neurons in the hidden layer. The results from the network are in good agreement with the measured data and the average absolute percent deviation are 0.35, 0.72, 0.54, 0.68 and 0.72% for the ethyl esters of palm, canola, corn and ricebran oil, respectively. The results of ANNs have also been compared with the results of theoretical estimations.
  Saeid Baroutian , Mohamed Kheireddine Aroua , Abdul Aziz Abdul Raman and Nik Meriam Nik Sulaiman
  In this study, a new approach based on Artificial Neural Networks (ANNs) has been designed to estimate the density of pure palm oil-based methyl ester biodiesel. The experimental density data measured at various temperatures from 14 to 90°C at 1°C intervals were used to train the networks. The present research, applied a three layer back propagation neural network with seven neurons in the hidden layer. The results from the network are in good agreement with the measured data and the average absolute percent deviation is 0.29%. The results of ANNs have also been compared with the results of empirical and theoretical estimations.
 
 
 
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