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: Development of a near nozzle spray modeling approach Associated funding: DOE - Office of Vehicle Technologies Other Systems: Convergent Science Inc. Science: The flow inside the nozzle is critical to the near nozzle flow development which in turn influences engine performance and emission characteristics. In the past decade, there has been significant increase in interest for improving the performance and emission characteristics of compression ignition (CI) engines using different nozzle orifice geometries and alternative fuels. However, the lack of modeling tools to accurately predict the influence of in-nozzle flow on spray and combustion development has partly decelerated its (combination of nozzle geometries and alternative fuels) large-scale implementation into the existing infrastructure. The proposed objectives of this project are aimed at further enhancing the predictive capabilities of the near nozzle spray model. The nozzle flow, spray, and combustion model developments will be performed using the commercial code called CONVERGE. This tool is being used by several transportation OEMs such as Caterpillar Inc., Chrysler LLC., Cummins Inc., Ford Motor Company, etc. Hence, these developments will readily facilitate improvements in nozzle orifice design and choice of fuel blends. Project description: The project is divided into 5 major tasks to be performed in 3 years in collaboration with Convergent Science Inc.: Task 1: Development and validation of a nozzle flow model to account of transient effects such as needle movement, needle off-axis motion, rail pressure fluctuations etc. Task 2: Further advancement of KH-ACT (Kelvin Helmholtz – Aerodynamic Cavitation Turbulence) primary breakup model to calculate more accurately relevant length and time-scales for the cavitation, turbulence, and aerodynamically induced breakup processes. Task 3: In the past nozzle flow and spray simulations have been statically coupled. A dynamic coupling approach will be developed so that the nozzle flow simulations can influence the spray development and vice versa. This is quite complicated since the length and time scales associated with nozzle flow processes are significantly different from spray processes. Task 4: An one equation non-viscosity dynamic structure model large eddy simulation (LES) based turbulence modeling approach will be implemented in CONVERGE. Grid-convergence on critical spray parameters will be evaluated with the implemented LES models. Task 5: Implementation of an Eulerian-Lagrangian spray model: While dynamic coupling of the nozzle flow and KH-ACT models will enhance the accuracy of spray simulations, a transition between the Eulerian and Lagrangian phases must take place at the nozzle exit with this approach. Moving the transition point downstream allows for a more natural bridge between the coupled simulations as the liquid fuel is modeled in an Eulerian framework on both sides of the nozzle exit. A specific challenge of this task is developing an algorithm to convert the Eulerian liquid to Lagrangian parcels outside of the dense spray region. Industry partnership: The project is a CRADA between Argonne and Convergent Science. It is expected that the results of the industry project will not only advance the state-of-the-art in spray simulations but also significantly benefit Convergent Science since they will have new spray models in the commercial code. Argonne will be performing the algorithm development, simulations, post-processing results, and writing technical reports. Convergent Science will be implementing the suggestions from Argonne for further developing spray models in CONVERGE code. Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 499999 Q1: 125000 Q2: 125000 Q3: 125000 Q4: 124999 Justification: Storage requirements: Thank You, The LCRC Accounts System