Modeling the concentration of carbonyl of ethylene propylene diene monomer during the thermal aging using artificial neural network

  • Hadjira Maouz Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria
  • Asma Adda Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria
  • Salah Hanini Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria
Keywords: Concentration of carbonyl, Ethylene propylene diene monomer, Thermal aging, Artificial neural networks

Abstract

The concentration of carbonyl is one of the most important properties contributing to the detection of the thermal aging of polymer ethylene propylene diene monomer (EPDM). In this publication, an artificial neural network (ANN) model was developed to predict concentration of carbenyl during the thermal aging of EPDM using a database consisting of seven input variables. The best fitting training data was obtained with the architecture of (7 inputs neurons, 10 hidden neurons and 1 output neuron). A Levenberg Marquardt learning (LM) algorithm, hyperbolic tangent transfer function were used at the hidden and output layer respectively. The optimal ANN was obtained with a high correlation coefficient R= 0.995 and a very low root mean square error RMSE = 0.0148 mol/l during the generalization phase. The comparison between the experimental and calculated results show that the ANN model is able of predicted the concentration of carbonyl during the thermal aging of ethylene propylene diene monomer

Published
2021-06-15
How to Cite
MaouzH., AddaA., & HaniniS. (2021). Modeling the concentration of carbonyl of ethylene propylene diene monomer during the thermal aging using artificial neural network. Algerian Journal of Renewable Energy and Sustainable Development, 3(01), 45-52. Retrieved from https://ajresd.univ-adrar.edu.dz/index.php?journal=AJRESD&page=article&op=view&path[]=111
Section
Articles