A method to predict the sublimation pressures of solid hydrocarbons using a biologically-deriver algorithm is presented. Seven binary gas-solid phase systems of supercritical carbon dioxide with hydrocarbons are considered in this study. The Peng-Robinson equation of state with the Wong-Sandler mixing rules are used to evaluate the fugacity coefficient on the systems. Then, particle swarm optimization is used for minimize the difference between calculated and experimental solubility, and the sublimation pressures are calculated from solubility data. The results show that the method presented is reliable enough and can be used with confidence to estimate the sublimation pressure of other hydrocarbons.
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Neau, E., Garnier, S., and Avaullée, L.A., A Consistent Estimation of Sublimation Pressures Using a Cubic Equation of State and Fusion Properties, Fluid Phase Equilib., 1999, vol. 164, pp. 173–186.
Lazzús, J.A., Prediction of Solid Vapor Pressures for Organic and Inorganic Compounds Using a Neural Network, Thermochim. Acta, 2009, vol. 489, pp. 53–62.
Valderrama, J.O., The State of the Cubic Equations of State, Ind. Eng. Chem. Res., 2003, vol. 42, pp. 1603–1618.
Peng, D.Y. and Robinson, D.B., A New Two-Constant Equation of State, Ind. Eng. Chem. Fund., 1976, vol. 15, pp. 59–64.
Zhong, M., Han, B., Ke, J., Yan, H., and Peng, D.Y., A Model for Correlating the Solubility of Solids in Supercritical CO2, Fluid Phase Equilib., 1998, vol. 146, pp. 93–102.
Valderrama, J.O. and Zavaleta, J., Sublimation Pressure Calculated from High-Pressure Gas-Solid Equilibrium Data Using Genetic Algorithms, Ind. Eng. Chem. Res., 2005, vol. 44, pp. 4824–4833.
Faúndez, C.A., Díaz-Valdés, J., and Valderrama, J.O., Determining Sublimation Pressures from Solubility Data of Solids in Different Solvents, Thermochim. Acta, 2007, vol. 462, pp. 25–31.
Eberhart, R.C. and Kennedy, J., Proc. 6th Int. Symp. on Micro Machine and Human Science, Nagoya: IEEE Publishing, 1995, pp. 39–43.
Kennedy, J., Eberhart, R. C., and Shi, Y., Swarm Intelligence, USA: Academic Press, 2001.
Lazzús, J.A., Estimation of Density as a Function of Temperature and Pressure for Imidazolium-Based Ionic LiquidsUsing aMultilayerNet with Particle SwarmOptimization, Int. J. Therm., 2009, vol. 30, pp. 883–909.
Gopi, E.S., Algorithm Collections for Digital Signal Processing Applications Using Matlab, The Netherlands: Springer, 2007.
Wong, D.S. and Sandler, S.I., A Theoretically CorrectMixing Rule for Cubic Equations of State, AIChE J., 1992, vol. 38, pp. 671–680.
Luo, Q. and Yi, D., A Co-Evolving Framework for Robust Particle Swarm Optimization, Appl. Math. Comput., 2008, vol. 199, pp. 611–622.
Orbey, H. and Sandler, S.I., Modeling Vapor-Liquid Equilibria. Cubic Equations of State and Their Mixing Rules, USA: Cambridge Univ. Press, 1998.
Walas, S.M., Phase Equilibria in Chemical Engineering, USA: Butterworth Publishing, 1985.
Liu, X., Liu, H., and Duan, H., Particle Swarm Optimization Based on Dynamic Niche Technology with Applications to Conceptual Design, Adv. Eng. Soft., 2007, vol. 38, pp. 668–676.
Jiang, Y., Hu, T., Huang, C.C., and Wu, X., An Improved Particle Swarm Optimization Algorithm, Appl. Math. Comput., 2007, vol. 193, pp. 231–239.
Da, Y. and Xiurun, G., An Improved PSO-Based ANN with Simulated Annealing Technique, Neurocomputing, 2005, vol. 63, pp. 527–533.
Shi, Y. and Eberhart, R.C., Proc. IEEE International Conference on Evolutionary Computation, Piscataway: IEEE Press, 1998, pp. 69–73.
Coelho, L.D. and Sierakowski, C.A., A Software Tool for Teaching of Particle Swarm Optimization Fundamentals, Adv. Eng. Soft., 2008, vol. 39, pp. 877–887.
Daubert, T.E., Danner, R.P., Sibul, H.M., and Stebbins, C.C., Physical and Thermodynamic Properties of Pure Chemicals. Data Compilation, London: Taylor & Francis, 2000.
McHugh, M. and Paulaitis, M.E., Solid Solubilities of Naphthalene and Biphenyl in Supercritical Carbon Dioxide, J. Chem. Eng. Data, 1980, vol. 25, pp. 326–329.
Kurnik R.T., Holla, S.J., and Reid, R.C., Solubility of Solids in Supercritical Carbon Dioxide and Ethylene, J. Chem. Eng. Data, 1981, vol. 26, pp. 47–51.
Anitescu, G. and Tavlarides, L.L., Solubilities of Solids Supercritical Fluids I. New Quasistatic Experimental Method for Polycyclic Aromatic Hydrocarbons (PAHs) + Pure Fluids, J. Supercrit. Fluids, 1997, vol. 10, pp. 175–189.
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Lazzús, J.A. Prediction of sublimation pressures from SCO2+hydrocarbon systems using a particle swarm optimization. J. Engin. Thermophys. 18, 306 (2009). https://doi.org/10.1134/S1810232809040043
- Particle Swim Optimization
- Supercritical Carbon Dioxide
- Solubility Data
- Inertia Weight
- Engineer THERMOPHYSICS