[LCRC Accounts] Yearly Allocation Request for foam-EngineProcesses
Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: foam-EngineProcesses Division: ES Project title: SSpray-Wall Interaction Process for Internal Combustion Engines Application: a Numerical Investigation with Global and Local Characterization of the Spray Morphology Associated funding: DOE-Vehicle Technologies Office Other Systems: Michigan Technological University Science: This project will use the Eulerian-Lagrangian approach for Computational Fluid Dynamics (CFD) simulations through a software called CONVERGE. In particular the focus will be placed on modeling gas exchange, mixture and spray formation and on the investigation of the spray-wall interaction. Project description: This project involves Argonne National Laboratory as part of a multi-institutional team including also Michigan Technological University (MTU) and University of Massachussets at Dartmouth (UMassD). The goal of this work is to develop and validate an advanced spray-wall interaction and associated film formation and vaporization modeling approach via application of a VOF method with an integrated evaporation sub-model (eVOF). In the previous year, the computational effort was directed toward the validation of the state-of-the-art CFD models and to the implementation of post-processing tools for the extraction of spray morphology information near the impinging point. The implementation of non-evaporating models is already ongoing and will be completed in the first quarter of the current year. The following step will include a film vaporization sub-model whose development and validation will rely on the results of the DNS analysis of spray-wall impingement. The aim is to achieve accurate predictive simulations of sprays and their impingement without need of extensive parameter tuning. The project will also develop sub-models for droplet formation characteristics post-wall impingement via detailed DNS and LES models which are supported by accurate experimentation. Targeted experimentation of the spray-wall interactions and liquid wall film under conditions matching the thermodynamic charge state and surface temperatures to those of engines will be performed to support development and validation of the spray-wall interaction models. Industry partnership: None Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 600000 Q1: 150000 Q2: 150000 Q3: 150000 Q4: 150000 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 Fusion and Blues. Storage requirements: 5 TB Thank You, The LCRC Accounts System
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