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Published on: October 21, 2016
Simple method for reliable predicting flash points of unsaturated hydrocarbons.
Mohammad Hossein Keshavarz1, Majid Ghanbarzadeh
1Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr PO Box 83145/115, Islamic Republic of Iran. mhkeshavarz@mut.ac.ir
A new method accurately predicts flash points for unsaturated hydrocarbons like alkenes and alkynes using elemental composition. This simple model offers a reliable alternative to complex calculations for diverse chemical structures.
Area of Science:
- Chemistry
- Physical Chemistry
- Chemical Engineering
Background:
- Flash point prediction is crucial for chemical safety and process design.
- Existing methods may struggle with complex unsaturated hydrocarbon structures.
Purpose of the Study:
- To develop a simple and accurate method for predicting the flash point of unsaturated hydrocarbons.
- To validate the method against experimental data and compare it with existing techniques.
Main Methods:
- Utilizing elemental composition as the primary predictive function.
- Incorporating a correcting function for specific compound classes.
- Validating predictions against a dataset of 173 unsaturated hydrocarbons.
Main Results:
- The new method achieved a root mean square (rms) error of 9 K for 173 unsaturated hydrocarbons.
- Outperformed two new group additivity methods in estimating flash points for an additional 76 compounds.
- Demonstrated applicability to unsaturated hydrocarbons with complex molecular architectures.
Conclusions:
- The developed method provides a simple yet effective approach for flash point prediction.
- The model is versatile and applicable to a wide range of unsaturated hydrocarbons.
- Offers a valuable tool for chemical safety assessments and process optimization.
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