Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers

Authors:
Aboozar Khajeh;Hamid Modarress;Babak Rezaee
Affiliations:
Amirkabir University of Technology, Department of Chemical Engineering, Mahshahr Campus, 415 Mahshar, Iran;Amirkabir University of Technology, Department of Chemical Engineering, Hafez Avenue, 15914 Tehran, Iran;Amirkabir University of Technology, Department of Industrial Engineering, Hafez Avenue, 15914 Tehran, Iran
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Solubility of carbon dioxide in poly(vinyl acetate) (PVAc), poly(2,6-dimethyl-1,4-phenylene ether) (PPO), polypropylene (PP), and high-density polyethylene (HDPE), poly(butylene succinate) (PBS), poly(butylene succinate-co-adipate) (PBSA) and polystyrene (PS) are modeled by adaptive neuro-fuzzy inference system (ANFIS) in wide range of pressure and temperature. The results obtained in this work indicate that ANFIS is effective method for prediction of solubility of carbon dioxide in polymers and have better accuracy and simplicity compared with the classical methods.