A New Parallel Cut-Cell Cartesian CFD Code for Rapid Grid Generation Applied to In-Cylinder Diesel Engine Simulations 2007-01-0159
A new Computational Fluid Dynamics (CFD) code has been developed in order to overcome the deficiencies of traditional grid generation and mesh motion methods. The new code uses a modified cut-cell Cartesian technique that eliminates the need for the computational grid to coincide with the geometry of interest. The code also includes state-of-the-art numerical techniques and sub-models for simulating the complex physical and chemical processes that occur in engines. Features such as shared and distributed memory parallelization, a multigrid pressure solver and user-specified grid embedding allow for efficient simulations while maintaining the grid resolution necessary for accurate engine modeling. In addition, a new Adaptive Grid Embedding (AGE) technique has been developed and implemented. Sub-models for turbulence, spray injection, spray breakup, liquid drop dynamics, ignition, combustion and emissions are also included in the code. Further, a modified version of the commonly used KH-RT breakup model has been developed which incorporates viscosity effects in the Rayleigh-Taylor instability mechanism and removes the ad hoc breakup length concept.
The current work presents validation of the new modeling methodology over a wide range of Diesel engine combustion scenarios, including conventional single-injection Diesel cases and multiple injection strategies. The results indicate that this combination of rapid grid generation, modern numerical methods and state-of-the-art sub-models makes this code a powerful tool for internal combustion engine simulations.
Citation: Senecal, P., Richards, K., Pomraning, E., Yang, T. et al., "A New Parallel Cut-Cell Cartesian CFD Code for Rapid Grid Generation Applied to In-Cylinder Diesel Engine Simulations," SAE Technical Paper 2007-01-0159, 2007, https://doi.org/10.4271/2007-01-0159. Download Citation
P. K. Senecal, K. J. Richards, E. Pomraning, T. Yang, M. Z. Dai, R. M. McDavid, M. A. Patterson, S. Hou, T. Shethaji
Convergent Thinking, LLC, Caterpillar, Inc.
SAE World Congress & Exhibition
Multi-Dimensional Engine Modeling, 2007-SP-2125