Journal of Industrial and Engineering Chemistry, Vol.19, No.2, 498-507, March, 2013
Application of equation of state and artificial neural network to prediction of volumetric properties of polymer melts
E-mail:
The modified ISM EOS and artificial neural network (ANN) methods were used to predict the PVT
behavior of polymer melts containing polystyrene (PS), polycarbonate bisphenol-A (PC), polyvinylidene fluoride (PVDF), polypropyleneglycol (PPG), polyethylene glycol (PEG), polypropylene (PP), poly vinylchloride’s properties (PVC), poly(1-butene)(PB1), polycaprolactone (PCL), polyethylene (PE) and polyvinyl methyl ether (PVME) over the entire range of available temperature and pressure. The obtained results show that the modified ISM EOS and ANN models have good agreement with the experimental data with mean average absolute deviation of 0.58% and 0.20%, respectively.
- Firouzi F, Modarress H, Mansoori GA, European Polymer Journal., 34, 1489 (1998)
- Keshmirizadeh E, Modarress H, Eliassi A, Mansoori GA, European Polymer Journal., 39, 1141 (2003)
- Karimi H, Yousefi F, Chin. J. Chem. Eng., 15(5), 765 (2007)
- Karimi H, Saghatoleslami N, Rahimi MR, Chemical and Biochemical Engineering Quarterly., 24, 167 (2010)
- Kurt H, Kayfeci M, Applied Energy., 86, 862244 (2009)
- Laugier S, Richon D, Fluid Phase Equilib., 210(2), 247 (2003)
- Cando PD, Radosz M, Fluid Phase Equilibria., 91, 1 (1996)
- Akbarzadeh K, Moshfeghian M, Fluid Phase Equilib., 187-188, 347 (2001)
- Rodgers PA, Journal of Applied Polymer Science., 48, 1061 (1993)
- Brannock GR, Sanchez IC, Macromolecules., 26, 4970 (1993)
- Papari MM, Behjatmanesh-Ardakani R, Kiani M, Moghadasi J, Campo A, Colloid and Polymer Science., 289, 2427 (2011)
- Papari MM, Kiani M, Behjatmanesh-Ardakani R, Moghadasi J, Campo A, Journal of Molecular Liquids., 161, 148 (2011)
- Sabzi F, Boushehri A, European Polymer Journal., 40, 1105 (2004)
- McQuarrie DA, Statistical Mechanics, Harper and Row, New York (1976)
- Weeks JD, Chandler D, Anderson HC, Journal of Chemical Physics., 54, 5237 (1971)
- Ihm G, Song Y, Mason EA, Journal of Chemical Physics., 94, 3839 (1991)
- Song Y, Mason EA, Journal of Chemical Physics., 91, 7840 (1989)
- Carnahan NF, Starling KE, Journal of Chemical Physics., 51, 635 (1969)
- Pitzer KS, Curl RF, Journal of the American Chemical Society., 79, 2369 (1957)
- Schreiber M, Pitzer KS, Fluid Phase Equilibria., 46, 113 (1989)
- Boushehri A, Mason EA, International Journal of Thermophysics., 14, 685 (1993)
- Ghatee MH, Boushehri A, International Journal of Thermophysics., 17, 945 (1996)
- Boushehri A, Keshavarz MH, Bulletin of the Chemical Society of Japan., 67, 1213 (1994)
- Song Y, Mason EA, Fluid Phase Equilibria., 75, 105 (1992)
- Bishop M, Neural Networks for Pattern Recognition, Clarendon Press, Oxford (1998)
- Hagan MT, Demuth HB, Beale M, Neural Network Design, PWS Publishing Company, Boston, MA (1995)
- Haykins S, Neural Networks: A Comprehensive Foundation, 2nd ed., Prentice Hall/Holden-Day Inc., New Jersey/Francisco, CA (1999)
- Karimi H, Yousefi F, Rahimi MR, Heat & Mass Transfer., 47, 1417 (2011)
- Zemin F, Jianhua M, Lin C, Wei C, Materials and Design., 31, 267 (2010)
- Holland J, Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor, MI (1975)
- Dengiz B, Atiparmak F, Smith AE, IEEE Transactions on Evolutionary Computation., 1, 179 (1997)
- Li JP, Balazs ME, Parks GT, Engineering Optimization., 39, 147 (2007)
- Wei Z, Ma D, Hong-Jun Z, Wang BL, Yun-Tao C, International Conference on Machine Learning and Cybernetics, 3, 1704 (2003)
- Colin AC, Rubio RG, Compostizo A, Polymer, 41(20), 7407 (2000)
- Mark JE, Physical Properties of Polymers Handbook, Springer, New York (2007)
- Wohlfarth C, CRC Handbook of Thermodynamic Data of Polymer Solutions at Elevated Pressures, Taylor & Francis, New York (2005)