PaperAIAA_Legrenzi.pdf (8.75 MB)
Simple and robust framework for coupled aerothermal gas turbine simulation using low-mach and compressible industrial CFD solvers
conference contribution
posted on 2016-09-20, 09:10 authored by Paolo Legrenzi, Vipran Kannan, Gary PageGary Page, Indi H. TristantoEfforts are being made to achieve a coupled virtual aero-engine simulation using existing
validated solvers. A methodology to easily couple a low-Mach number pressure-based code
with a compressible density-based turbomachinery code for industrial application has been developed, based on boundary conditions update. Two techniques, namely, file based and memory based have been implemented to exchange data between the solvers in steady and unsteady RANS. Validation is carried out on a laminar
flow for a convecting Taylor vortex test case. This approach has been applied to steady compressor/combustor and combustor/turbine simulations and extended to a simple unsteady simulation of a 2D Von Karman vortex shedding cylinder case and to a unsteady combustor/NGV/rotor test case.
Results are shown, advantages and disadvantages of the two techniques are discussed.
Funding
The project is partially funded by UK TSB SILOET (Strategic Investment in Low Carbon Engine Technology).
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
54th AIAA Aerospace Sciences MeetingCitation
LEGRENZI, P. ...et al., 2016. Simple and robust framework for coupled aerothermal gas turbine simulation using low-mach and compressible industrial CFD solvers. IN: Proceedings of the 54th AIAA Aerospace Sciences Meeting (AIAA SciTech), 4th-8th January 2016, San Diego, California, AIAA 2016-1640.Publisher
AIAA / © The AuthorsVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2015-12-05Publication date
2016Notes
This conference paper was accepted for publication by AIAA and the definitive version is available at: http://dx.doi.org/10.2514/6.2016-1640Publisher version
Language
- en