A Mathematical Modeling of the Turbulence Combustion Biodiesel in a Compression Ignition Engine: Theoretical Framework
Francis Mouzong Bongne1,2, Zacharie Merlin Ayissi1,2,3, Bencher Mohamed4 & Marcel Brice Obounou Akong5 Show affiliations
- Laboratory of Mechanics, Energiatronic and Sustainable Mobility (MESM), University of Douala, Douala, Cameroon
- Research Group in Strategy, Innovation and Sustainable Development (GRESIDD), National Polytechnic School of Douala (ENSPD) University of Douala, Douala, Cameroon
- National Polytechnic School of Douala (ENSPD) University of Douala, Douala, Cameroon
- Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Science and Technology "Mohamed Boudiaf" of Oran, Algeria
- Department of Physics, Energy, University of Yaoundé, Yaoundé, Cameroon
American Journal of Engineering and Applied Sciences, Volume 17, Issue 4, pp. 191–199 · doi.org/10.3844/ajeassp.2024.191.199
Abstract
The present work proposes a new model for biodiesel combustion in an internal combustion engine. This model first includes the balance equations of gas dynamics with heat release. Secondly, a model with special properties that take into account turbulence effects is incorporated. The chemical models implemented in this study are for a biofuel used at less than 100% and for biodiesel-diesel blends. The resulting model is a coupling of equations describing the combustion of biodiesel with premixing. The model obtained is interesting and applicable to a wide range of combustion problems without major modifications. It is then proposed to the scientific community in order to develop internal combustion engines capable of meeting future political expectations regarding the reduction of pollutant emissions from the combustion of internal combustion engines.
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Bongne, F. M., Ayissi, Z. M., Mohamed, B. & Akong, M. B. O. (2024). A Mathematical Modeling of the Turbulence Combustion Biodiesel in a Compression Ignition Engine: Theoretical Framework. American Journal of Engineering and Applied Sciences, 17(4), 191–199. https://doi.org/10.3844/ajeassp.2024.191.199
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