Session: 11-01: Combustor Heat Transfer

Paper Number: 153658

CPU-GPU Performance Comparison in Large Eddy Simulations of a Combustor Liner With Rapid Octree Meshing 

Modern gas turbine engines operate at extremely high temperatures, placing substantial thermal loads on critical components such as the combustor liner and turbine blades. Effusion cooling, a technique that creates a protective coolant layer on hot surfaces, is widely employed to mitigate these thermal stresses and extend component life. This study explores the impact of effusion cooling on liner heat transfer through a detailed computational fluid dynamics (CFD) analysis of a three-benchmark gas turbine combustor validation.
The simulations were conducted on both Central Processing Unit (CPU) and Graphics Processing Unit (GPU) architectures using an in-house GPU solver. Large Eddy Simulation (LES) was applied, with mesh generation handled by the Rapid Octree meshing technique, facilitating the creation of large, complex grids. The results were compared across CPU and GPU runs, demonstrating that GPU-based simulations achieved significant computational speed-ups. Optimized LES Numerics for GPU processing enabled substantial reductions in computational time, enhancing simulation efficiency without compromising accuracy.
This study showcases the advantages of GPU computing in improving the efficiency particularly for high-fidelity models in thermal management applications. The findings underscore the potential of GPU architectures in reducing simulation time while maintaining solution quality, providing a strong basis for future research in advanced cooling strategies for gas turbines.

Presenting Author: Ashwini Dalvi Ansys India Ltd

Presenting Author Biography: Ashwini Dalvi is working as R&D Engineer II in Ansys India Pvt Ltd for past 2 and half years. She holds master’s degree from Sardar Vallabhbhai National Institute of Technology. Currently working into Combustion and Automotive area of CFD.

Authors:

Ashwini Dalvi Ansys India Ltd
Anil Wakale Ansys India Pvt Ltd
Patrick Sharkey Ansys UK Ltd
Yu Xia Ansys UK Ltd
Florian Menter Ansys Germany GmbH
David Flad Ansys Germany GmbH
Andreas Hueppe Ansys Germany GmbH