Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: gm_gasexchange Division: ES Project title: Modeling Gas Exchange in the GM TCC Engine using LES Associated funding: LDRD funding for Argonne, GM funding for GM and Univ. of Michigan Other Systems: GM R&D Science: This project will use an Eulerian-Lagrangian Computation Fluid Dynamics (CFD) software called CONVERGE to model the gas exchange process in an engine. The primary objective of the proposed research is to characterize the cyclic variability in internal combustion engines (ICE) as a result of gas exchange processes. This study will determine the minimum grid size and the number of cycles to be simulated such that the mean flow field and cyclic variabilities predicted by large eddy simulation (LES) are similar to those measured from experiments. Project description: The project is divided into three parts: In the first part, large eddy simulation (LES) will be used to model 50 consecutive cycles of the GM transparent combustion chamber (TCC) engine with a base grid size of 0.5 mm. The mean and variance of the predicted flow field will be compared to the LES results performed previously with a base grid size of 1 mm, and also to the PIV measurements. This study will determine the minimum grid size and the number of cycles to be simulated such that the mean flow field and cyclic variabilities predicted by large eddy simulation (LES) are similar to those measured from experiments. In the second part of the study, more insights into the reasons for the cyclic variability will be developed by repeating the simulation at different engine speeds and different intake manifold pressures. In the final part of this study, LES predictions will be improved by implementing improved models for the treatment of the near-wall flows, as this could strongly influence the in-cylinder flow. Industry partnership: General Motors - Research and Development Group Project URL: http://verifi.anl.gov/ Current FY Hours Used: undetermined amount New FY Requested allocation: 600000 Q1: 150000 Q2: 150000 Q3: 150000 Q4: 150000 Justification: During the past four years, we have been working in close collaborations with the developers of CONVERGE code to ensure that it scales well both on clusters and super-computers. We have implemented METIS algorithm which enables us to load balance significantly better than the original load balancing in CONVERGE. This was the first step towards enabling CONVERGE code for HPC use. In collaboration with researchers at ALCF (during the past couple of years), we have further performed scaling studies with the code on Mira. Based on implementation of MPI-I/O, advancements in chemistry calculation with a stiffness based load balancing criteria and CFD load balancing, we have been able to show good scaling of the CONVERGE code on Mira on up to 4096 processors for a closed cycle engine simulation with about 10 million cells. These advancements were showcased during the VERIFI workshop in Nov. 2014 and we have published a detailed paper highlighting these changes. The a bove changes are not only expected to benefit calculations on Mira but also help on computing clusters like Fusion and Blues. More details and paper can be made available on request. Storage requirements: 2 TB Thank You, The LCRC Accounts System