Improved prediction of hydrocarbon flash points from boiling point data

Energy and Fuels

Volumn 24, Issue 9, 2010, Pages 4854-4856

  Carroll, Felix A ^a   Lin, Chung Yon ^a   Quina, Frank H ^b  

^a DAVIDSON COLLEGE   (United States)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AROMATIC RINGS; AVERAGE ABSOLUTE DEVIATION; DATA SETS; DOUBLE BONDS; FLASH POINTS; TRIPLE BONDS;

BOILING POINT;

HYDROCARBONS;

EID: 77956769840     PISSN: 08870624     EISSN: 15205029     Source Type: Journal    
DOI: 10.1021/ef1005836     Document Type: Conference Paper

References (22)

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5. FP values, is provided in the Supporting Information.
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14. There are flash point prediction methods for organic compounds in general that can be applied to hydrocarbons but which require knowledge of some physical property other than or in addition to the boiling point. These physical properties include enthalpy of vaporization (Catoire, L.; Naudet, V. J. Phys. Chem. Ref. Data 2004, 33, 1083), specific gravity (Satyanarayana, K.; Kakati, M. C. Fire Mater. 1991, 15, 97
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17. Fujii, A.; Hermann, E. R. J. Saf. Res. 1982, 13, 163) Of these, only the method of Catoire and Naudet seems to approach the accuracy of the method reported here.
18. There are also neural network methods based on connectivity or group counts for the prediction of the flash points of organic compounds in general. Among these are Tetteh, J.; Suzuki, T.; Metcalfe, E.; Howells, S. J. Chem. Inf. Comput. Sci. 1999, 39, 491
19. Gharagheizi, F.; Alamdari, R. F. QSAR Comb. Sci. 2008, 27, 679; and Gharagheizi, F.; Alamdari, R. F.; Angaji, M. T. Energy Fuels 2008, 22, 1628 Furthermore
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