Hello, A change in allocation has been requested: Requester: ssom (Sibendu Som) Project: cfd_enginemodeling Title: Computation Fluid Dynamics Modeling of Diesel Engine Processes Description: The project is divided into three major phases: 1)Cavitation modeling: A two-phase cavitation modeling approach using the homogeneous relaxation method will be developed and implemented in CONVERGE. Extensive validation of the new model will be performed against experimental data available in literature. 2)Spray Modeling: Traditional Eulerian-Lagrangian spray modeling approaches are hampered by the fact that the results are not grid-independent. Grid-convergent spray modeling approaches will be developed and validated against experimental data from the Engine Combustion Network. The simulations will be performed in a constant volume combustion vessel since it is a more effective crucible for model validation 3)Turbulence Modeling: Traditionally engine simulations have been performed using the Reynolds Average Navier Stokes Equations (RANS) approach. RANS employs filtering in time to derive the governing equations for the mean state. Turbulent interactions over the full range of dynamic scales are averaged to make the calculations affordable for engineering analysis. Only the largest energy containing features in a flow are resolved and no information exists to describe broadband small-scale interactions. Thus, computational requirements for RANS are relatively low and the most affordable. However, case-by-case calibration of models is required, and stochastic processes such as cycle-to-cycle variations cannot be captured in RANS. Large Eddy Simulation (LES) directly resolves the large scale unsteady motions that account for the bulk spatial transportation, while smaller scales of the flow are removed through a filtering operation and treated by using subgrid scale (SGS) models fo r reduced computational cost. By resolving the large-scale turbulence, LES can significantly improve the accuracy of flow predictions compared to RANS. A dynamic structure based LES model will be developed and the results will be compared against RANS. The CONVERGE software has been observed to scale well up to 96 processors and full-cycle engine simulations. Current: undetermined amount Justification: Requested: 100000 A specific reason has been given: Several cases that we had planned crashed hence we do not have results necessary fr the paper. It will be great to have some more allocations This needs to be approved and the final allocation amount decided upon. Thank You, The LCRC Accounts System