Development and Validation of a Lagrangian Soot Model Considering Detailed Gas Phase Kinetics and Surface Chemistry
- Univ. of Wisconsin, Madison, WI (United States); University of Wisconsin - Madison
Soot simulation for engine combustion applications ranges from simple semi-empirical models to more complex solutions of the population balance equations. Commonly, conclusions are drawn from very simple phenomenological multistep models, which are computationally inexpensive, but only provide a single variable, mass or volume fraction, describing soot and struggle to make accurate predictions without case specific tuning. Alternatively, stochastic soot models can provide excruciating detail and capture phenomenon much more accurately, but they have been historically difficult to implement in 3D and can easily push simulations to prohibitive expense. In this work, a stochastic soot model was paired to a CFD simulation via a modified parcel implementation to achieve a highly detailed three-dimensional soot simulation. The full simulation was validated in parts including validation of the spray, mixing, ignition, and combustion process. Simulation result were compared to the measurements acquired during the project of soot and particle size distributions. Overall, the soot model provides accurate prediction of soot parameters including size and distribution. The data generated by this project will be of further use to the combustion community for continued model development and validation. The model is fully functional and tested for a variety of configurations. The model has been packaged and is available for use in any CFD code through a post-processing method. Finally, the model was exercised to provide insight into the soot formation process for future, high efficiency engines.
- Research Organization:
- Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
- DOE Contract Number:
- EE0007300
- OSTI ID:
- 1580657
- Report Number(s):
- DOE-UW--0007300
- Country of Publication:
- United States
- Language:
- English
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