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
Author(s):
P. K. Senecal, K. J. Richards, E. Pomraning, T. Yang, M. Z. Dai, R. M. McDavid, M. A. Patterson, S. Hou, T. Shethaji
Affiliated:
Convergent Thinking, LLC, Caterpillar, Inc.
Pages: 32
Event:
SAE World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Multi-Dimensional Engine Modeling, 2007-SP-2125
Related Topics:
Computational fluid dynamics
Diesel / compression ignition engines
Combustion and combustion processes
Simulation and modeling
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