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Updated: Jul 2, 2026

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells
Published on: October 2, 2016
Carbon dioxide dilution effect on flammability limits for hydrocarbons
Chan-Cheng Chen1, Horng-Jang Liaw, Tzu-Chi Wang
1Department of Occupational Safety and Health, China Medical University, Taichung 404, Taiwan.
New models predict hydrocarbon flammability limits in carbon dioxide mixtures. Theoretical linear relationships were confirmed by experimental data for methane, propane, ethylene, and propylene, showing high accuracy.
Area of Science:
- Chemical Engineering
- Combustion Science
- Thermodynamics
Background:
- Flammability limits are critical safety parameters for hydrocarbon-inert gas mixtures.
- Predicting these limits accurately is essential for safe industrial operations.
- Existing models may lack precision or broad applicability.
Purpose of the Study:
- To develop and validate theoretical models for predicting upper and lower flammability limits.
- To investigate the relationship between flammability limits and hydrocarbon concentration.
- To assess the applicability of these models across various hydrocarbon types.
Main Methods:
- Development of theoretical models based on chemical principles.
- Analysis of linear relationships between reciprocal flammability limits and reciprocal hydrocarbon mole fractions.
- Validation using existing experimental data for methane, propane, ethylene, and propylene.
Main Results:
- Established theoretical linear relationships for upper and lower flammability limits.
- Experimental data confirmed these linear relationships with high coefficients of determination (R² > 0.959).
- Models demonstrated strong agreement with experimental results for multiple hydrocarbons.
Conclusions:
- The proposed theoretical models accurately predict flammability limits in hydrocarbon/CO2 mixtures.
- The models show potential for extension to other flammable materials and inert gases.
- The theoretical model for lower flammability limit aligns with existing empirical models.
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