Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data

Abdeslam Hassen Meniai, Serge Laugier, Hakim Madani, Dominique Richon

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DOI: 10.4236/ojpc.2011.13009                

Abstract

This paper focuses on a very important point which consists in evaluating experimental data prior to their use for chemical process designs. Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 362 K and at pressures up to 10 MPa have been examined through a consistency test presented herein and based on the use of a methodology implying both neural networks and Virial equation. Such a methodology appears as very powerful to identify erroneous data and could be conveniently handled for quick checks of databases previously to modeling through classical thermodynamic models and equations of state. As an application to liquid and vapor phase densities of hexafluoropropylene, a more reliable database is provided after removing out layer data.

Keywords

Consistency Tests, Hexafluoropropylene, Neural Networks, Vibrating Tube Densimeter, Virial Equation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	H. Madani, A. Valtz, C. Coquelet, A. H. Meniai and D. Richon, “(Vapor plus Liquid) Equilibrium Data for (Carbon Dioxide + 1,1-Difluoroethane) System at Temperatures from 258 to 343 K and Pressures up to about 8 MPa,” The Journal of Chemical Thermodynamics, Vol. 40, No. 10, 2008, pp. 1490-1494. doi:10.1016/j.jct.2008.06.002
[2]	G. Acerboni, J. A. Buekes, N. R. Jensen, J. Hjorth, G. Myhre, C. J. Nielsen and J. K. Sundet, “Atmospheric Degradation and Global Warming Potentials of Three Per?uoroalkenes,” Atmospheric Environment, Vol. 35, No. 24, 2001, pp. 4113-4123. doi:10.1016/S1352-2310(01)00209-6
[3]	C. Coquelet, D. Ramjugernath, H. Madani, A. Valtz, P. Naidoo and A. H. Meniai, “Experimental Measurements of Vapor Pressures and Densities of Pure Hexafluoropropylene,” Journal of Chemical & Engineering Data, Vol. 55, No. 6, 2010, pp. 2093-2099. doi:10.1021/je900596d
[4]	D. Richon, “Experimental Techniques for the Determination of Thermophysical Properties to Enhance Chemical Processes,” Pure and Applied Chemistry, Vol. 81, No. 10, 2009, pp. 1769-1782. doi:10.1351/PAC-CON-08-09-06
[5]	C. Coquelet, L. A. Galicia-Luna, A. H. Mohammadi and D. Richon, “The Essential Importance of Experimental Research and the Use of Experimental Thermodynamics to the Bene?t of Industry,” Fluid Phase Equilibria, Vol. 296, No. 1, 2010, pp. 2-3. doi:10.1016/j.fluid.2010.04.004
[6]	D. Richon, 2009. http://www.wix.com/drichon/thermoadvices
[7]	A. Eslamimanesh, A. H. Mohammadi and D. Richon, “Thermodynamic Consistency Test for Experimental Data of Water Content of Methane,” AIChE Journal, Vol. 57, No. 9, 2011, pp. 2566-2573. doi:10.1002/aic.12462
[8]	A. Eslamimanesh, M. Yazdizadeh, A. H. Mohammadi and D. Richon, “Experimental Data Assessment Test for Diamondoids Solubility in Gaseous System,” Journal of Chemical & Engineering Data, Vol. 56, No. 5, 2011, pp. 2655-2659. doi:10.1021/je200193n
[9]	A. Eslamimanesh, A. H. Mohammadi and D. Richon, “Thermodynamic Consistency Test for Experimental Data of Sulfur Content of Hydrogen Sulfide,” Journal of Chemical & Engineering Data, Vol. 50, No. 6, 2011, pp. 3555-3563. doi:10.1021/ie1017332
[10]	A. Chouai, S. Laugier and D. Richon, “Modeling of Thermodynamic Properties Using Neural Networks― Application to Refrigerants,” Fluid Phase Equilibria, Vol. 199, No. 1-2, 2002, pp. 53-62. doi:10.1016/S0378-3812(01)00801-9
[11]	S. Laugier, F. Rivolet and D. Richon, “New Volume Translation for Cubic Equations of State,” Fluid Phase Equilibria, Vol. 259, No. 1, 2007, pp. 99-104. doi:10.1016/j.fluid.2007.04.032