Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: spray-modeling Division: ES Project title: Modeling of nozzle flow and spray for heavy duty injectors Associated funding: Aramco Other Systems: Aramco Science: This project will use a fully Eulerian modeling of internal nozzle flows by means of Computational Fluid Dynamics (CFD) simulations performed with a software called CONVERGE. The focus will be placed on the modeling of all the physical phenomena that are associated with the high pressure injection of fuel in the combustion chamber of internal combustion engines. The in-nozzle cavitation will be modeled through the Homogeneous Relaxation Model (HRM) and will mostly focus on gasoline-like fuels such as Naphtha. Project description: The project will continue an ongoing activity and will address the evaluation of the behavior of gasoline-like fuels in internal nozzle flows when realistic injector geometry and needle motions obtained through x-ray imaging are involved. The project will apply previously validated methodologies and setups to a multi-hole heavy-duty injector. Experimental validation for the Diesel and Naphtha fuels by means of comparison against CFD results will be performed. Particular attention will be dedicated to the prediction of orifice-to-orifice and shot-to-shot variabilities associated with the use of real nozzle geometries. A possible outcome will be the development of an erosion model to assess the effect of cavitation on the nozzle internal surface. The model will identify those zones of the nozzle that could be more affected by the cavitation occurrence. Final key point of the collaboration will be to incorporate all the learnings from the internal nozzle fl ow simulation into actual combustion system optimization study. Industry partnership: Aramco Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 1000000 Q1: 250000 Q2: 250000 Q3: 250000 Q4: 250000 Justification: Our recent 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. The above changes are not only expected to benefit calculations on Mira but also help on computing clusters like Blues and Bebop. Storage requirements: 5 TB Thank You, The LCRC Accounts System