Adaptive wall-modelled large eddy simulation of jet noise in isolated and installed configurations
conference contributionposted on 16.07.2018 by Matteo Angelino, Hao Xia, Gary Page
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
The study of jet acoustics is crucial for future aeroengine designs. Although the highbypass ratio of modern turbofans can have a shielding effect on the core jet noise, there is an increased potential of interaction of the jet flow with wing and flap, and its effects on noise need to be thoroughly investigated. Wall-Modelled Large-Eddy Simulation (WMLES) is a powerful method to study the installation effects on jet noise, as it does not have strict near-wall requirements, allowing for a more uniform mesh for better noise propagation and a saving in computational cost. An adaptive wall model is here introduced and validated on channel flow, on the MD-30P/30N high-lift multi-element airfoil, and on the NASA High-Lift Common Research Model (HL-CRM). WMLES simulations, combined with the Ffowcs Williams and Hawkings (FW-H) sound extrapolation method, are performed on turbulent coaxial jets in isolated and installed configurations. Computed flow field and sound spectra present favourable agreement with experimental results, confirming key features of the installation effects on jet noise.
The work on the isolated co-axial jet was conducted under the Innovate UK SILOET II project 13 (reference number 113013), in collaboration with Rolls-Royce plc. The geometry was produced under the EU 6th Framework Project CoJeN, contract number AST3-CT-2003-502790. The installed case is part of the ongoing Innovate UK ACAPELLA project (reference number 113086), in collaboration with Rolls-Royce plc. Geometry and experimental data were produced under the Innovate UK SYMPHONY project (reference number 100539) and provided by Rolls-Royce plc. The authors acknowledge the support from the UK Turbulence Consortium (UKTC), under grant number EP/L000261. CPU time and IT support from ARCHER, HPC Midlands and Loughborough University are greatly appreciated.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering