[LCRC Accounts] Yearly Allocation Request for navistar_tbc
Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: navistar_tbc Division: ES Project title: Accessing Thermal Barrier Coatings for Conjugate Heat Transfer Applications Associated funding: DOE - Office of Vehicle Technologies, Navistar Other Systems: Navistar International Corporation Science: Heat transfer across engine boundaries has a significant impact on the performance and efficiency of any engine. The Thermal Barrier Coating (TBC) technology proposed here aims to reduce the heat losses and improve efficiency. A better quantitative understanding of the heat loss is necessary to understand how heat flux through a particular boundary affects the efficiency. The use of constant temperature BC for temperature is not very predictive. Conjugate heat transfer models are necessary in order to model the transient physics of the heat flux across the boundary. Project description: In this part of the work, a 3D CFD model is first developed and then used to analyze the heat transfer across different boundaries of the engine during a complete cycle. The model was used to evaluate efficiencies for a wide range of temperature BCs for different boundaries of the engine. The results and their analysis show a clear trend and give insight on which surfaces would need thermal barrier coatings to improve efficiency. Conjugate heat transfer modeling techniques are in the phase of implementation in order to make the simulations more predictive and also to analyze the effect of different coating materials on heat transfer and engine efficiency. The piston geometry was rendered and a moving interface was set up between the solid region and the fluid regions. A thermal contact resistance can be calculated for each coating material and specified at the interface in order to simulate the actual effect of the coatings. This new methodology is going to benefit Navistar to design and finalize the coating material and thickness for their future engines. Industry partnership: Navistar International Corporation Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 675000 Q1: 150000 Q2: 200000 Q3: 200000 Q4: 125000 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. The scaling efficiency of the conjugate heat transfer model will be further assessed during this project in the 2nd and 3rd quarters. Storage requirements: 1 TB Thank You, The LCRC Accounts System
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