Combustible Organic Materials: Determination and Prediction of Combustion Properties

Cover
Half Title
Also of Interest
Combustible Organic Materials: Determination and Prediction of Combustion Properties
Copyright
Preface to the second edition
Contents
1. Flash Point
	1.1 Measurement of the FP
	1.2 Predictive methods of the FP for pure compounds
		1.2.1 Empirical models
			1.2.1.1 The use of NBP
			1.2.1.2 The NBP and enthalpy of vaporization at the NBP
			1.2.1.3 The NBP and nC
			1.2.1.4 Linear correlation between the FP, the NBP, and predefined fu
			1.2.1.5 Non-linear model for the prediction of FP using NBP
			1.2.1.6 Machine learning-developed models of prediction of flash point
		1.2.2 The SGC methods
			1.2.2.1 Organosilicon compounds
			1.2.2.2 MNLR and ANN structural group contribution methods
			1.2.2.3 The improved SGC approaches based on experimental data of a
		1.2.3 QSPR models
			1.2.3.1 Saturated alkanes
			1.2.3.2 Unsaturated hydrocarbons
			1.2.3.3 General correlation between saturated and unsaturated hydrocarbons
				1.2.3.3.1 Structural parameter P(+)
				1.2.3.3.2 Structural moieties affecting P(–)
				1.2.3.3.3 Different behavior of mono-alkyl substituted cyclopentane and cyclohexane
			1.2.3.4 Kerosene hydrocarbons
				1.2.3.4.1 Definition of FP+
				1.2.3.4.2 Description of FP–:
			1.2.3.5 Various classes of amines
				1.2.3.5.1 Prediction of IP
				1.2.3.5.2 Prediction of DP
			1.2.3.6 Alcohols and phenols
			1.2.3.7 Pure organic chemicals from structural contributions
			1.2.3.8 Organosilicon compounds
			1.2.3.9 Organic compounds containing hazardous peroxide functional groups
	1.3 Estimation methods of the FP for mixtures
		1.3.1 Mixing rules
		1.3.2 Assessment of combination of the mixing rule of Liaw et al.
		1.3.3 Empirical methods for liquid mixtures
			1.3.3.1 Catoire et al. method [100]
				1.3.3.1.1 Determination of NBPmix
				1.3.3.1.2 Determination of ΔvapH° 298.15 K ð Þmix
				1.3.3.1.3 Determination of nC,mix
			1.3.3.2 Pan et al. method [120]
				1.3.3.2.1 MLR model
				1.3.3.2.2 MNR model
				1.3.3.2.3 Comparison of two models of Pan et al. [120] and Catoire et al. [100]
	1.4 Summary
2. Autoignition
	2.1 Measurement of the AIT
	2.2 Predictive methods of the AIT for pure compounds
		2.2.1 The use of SGC by a polynomial of degree 3 for organic comp
		2.2.2 A simple QSPR model for various classes of hydrocarbons
			2.2.2.1 FSH
			2.2.2.2 FBH
			2.2.2.3 Comparison of the reliability of this method with SGC method
		2.2.3 A new and reliable model for prediction of the AIT of compounds containing energetic groups
		2.2.4 Simple method to assess the AIT of organic ether compounds with high reliability
		2.2.5 Reliable prediction of autoignition temperature of organic hydroxyl compounds
	2.3 Autoignition and ignition delay
	2.4 Summary
3. Flammability Limit
	3.1 Measurement of the LFL and UFL
	3.2 Predictive methods of the flammability limits
		3.2.1 The predicted LFL as a function of temperature
		3.2.2 The use of SGC method for prediction of the LFL and UFL of pure hydrocarbons
		3.2.3 Extended method for prediction of the UFL of pure compounds
		3.2.4 Machine learning-developed models for prediction of LFL and UFL
	3.3 Flammability limit estimation of the hydrocarbon‐inert gas mixture
	3.4 Summary
4. Heat of Combustion
	4.1 Experimental methods for determination of heats of combustion
	4.2 Different approaches for prediction of the heats of combustion
		4.2.1 Predicting the standard net heat of combustion for pure hydrocarbons from their molecular structure
		4.2.2 Prediction of the standard net heat of combustion from molecular structure
		4.2.3 A comprehensive methodology for prediction of the net heat of combustion from group contribution-based property models
		4.2.4 A generally applicable group additivity method for the calculation of the gross heat of combustion of organic compounds as well as salts and ionic liquids
		4.2.5 Machine learning-developed models of prediction of the net heat of combustion of organic compounds
		4.2.6 Reliable predictions of the net heat of combustion of organosilicon compounds
		4.2.7 A new method for predicting the gross heat of combustion of polynitro arene, polynitro heteroarene, acyclic and cyclic nitramine, nitrate ester and nitroaliphatic compounds
	4.3 Summary
5. Polymer Flammability
	5.1 Experimental method based on pyrolysis combustion flow calorimetry
	5.2 Different approaches for prediction of flammability parameters
		5.2.1 SGC method of Walters and Lyon for prediction of the heat release capacity
		5.2.2 SGC method of Lyon et al. for prediction of total heat of combustion), char yield, and heat release capacity
		5.2.3 The simplest model for reliable prediction of total heat release (heat of combustion)
		5.2.4 A simple model for reliable prediction of the specific heat release capacity of polymers
		5.2.5 A simple method for the reliable prediction of char yield of polymers
	5.3 Summary
Problems
	Chapter 1
	Chapter 2
	Chapter 4
	Chapter 5
Answers to Problems
	Chapter 1
	Chapter 2
	Chapter 3
	Chapter 5
List of Symbols
Appendix A
Appendix B
Appendix C
Appendix D
	References
About the Author
Index