Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Kaushik Saha Project Name: Denso_simulations Division: ES Project title: Modeling of flashing and non-flashing sprays in Eulerian and Lagrangian approaches Direct Injection Systems Associated funding: Department of Energy, Office of Energy Efficiency and Renewable Energy Other Systems: Science: This project will use a Eulerian-Lagrangian Computational Fluid Dynamics (CFD) software called CONVERGE to model direct-injection spray formation under the flashing and the non-flashing conditions to understand the effect of the change in the degree of superheat of the fuel when injected into the combustion chamber. Project description: The project will have two components. First part will deal with flash boiling phenomenon of internal and near-nozzle regions in the Eulerian framework. Both single and binary component flash boiling with ethanol blended with iso-octane and/or gasoline fuel. Internal nozzle flow simulations will be carried out with map file writing down the flow variables and species concentrations at the nozzle exit during the injection duration. The objective of the map file would be to provide the necessary boundary and initial conditions for the second phase of the simulations where the Lagrangian spray calculations will be carried out. Here also, both single and binary-component fuels will be tested. An in-house code has been developed to couple with CONVERGE in order to simulate the additional vaporization of the droplets due to flash boiling. Such capabilities are non-existent in most IC engine codes and hence, will be of utmost relevance to the industry. Industry partnership: Convergent Science (CSI) Project URL: http://verifi.anl.gov Current FY Hours Used: undetermined amount New FY Requested allocation: 500000 Q1: 175000 Q2: 150000 Q3: 100000 Q4: 75000 Justification: Our past publication (J. Kodavasal, K. Harms, P. Srivastava, S. Som, S. Quan, K.J. Richards, M. Garcia, “Development of stiffness-based chemistry load balancing scheme, and optimization of I/O and communication, to enable massively parallel high-fidelity internal combustion engine simulations,” Journal of Energy Resource Technology; JERT-16-1022, 2016) together with MCS and Convergent Science discusses the improvements to the Converge tool that has resulted in significant improvement in scaling. Currently, we are able to scale the code up to 4096 processors on Mira with about 70% scaling efficiency for a fixed mesh size. This was achieved due to the implementation of: (1) MPI I/O, (2) Improved Communication, (3) METIS load balancing scheme, (4) Development of a new chemistry load balancing scheme. Storage requirements: 5 TB. Thank You, The LCRC Accounts System