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Prediction of flammability characteristics of pure hydrocarbons from molecular structures

Authors

  • Yong Pan,

    Corresponding author
    1. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
    • Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
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  • Juncheng Jiang,

    1. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
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  • Xiaoye Ding,

    1. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
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  • Rui Wang,

    1. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
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  • Jiajia Jiang

    1. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Urban Construction and Safety Engineering, Nanjing University of Technology, Nanjing 210009, China
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Abstract

A quantitative structure-property relationship study is performed to develop mathematical models for predicting the flammability characteristics of pure hydrocarbons. The molecular structures of the compounds are numerically represented by various kinds of molecular descriptors. Genetic algorithm based multiple linear regression is used to select most statistically effective descriptors on the flash point, the autoignition temperature, and the lower and upper flammability limits of hydrocarbons, respectively. The resulted models are four multilinear equations. These models are very simple and can predict the flash point, the autoignition temperature, and the lower and upper flammability limits for the test set with average absolute errors of 5.41 K, 28.00 K, 0.044 vol %, and 0.503 vol %, respectively. The models are further compared with other published method and are shown to be more superior. The proposed method can be used to predict the flammability characteristics of hydrocarbons from the knowledge of only the molecular structures. © 2009 American Institute of Chemical Engineers AIChE J, 2010

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