Jet noise is still a distinct noise component when a commercial aircraft is taking off. A parallel high-fidelity simulation framework for industrial jet noise prediction is presented in this paper. This framework includes complex geometry meshing and Ffowcs Williams-Hawkings (FW-H) surface placement during preprocessing, a parallel hybrid RANS-LES flow solver coupled with an FW-H acoustic solver in the simulation and mean and unsteady data processing after the simulation. The use of this framework is demonstrated through two jet noise prediction cases: in-flight heated jets and installed ultra-high bypass-ratio (UHBPR) engines. These simulations can provide more insight than experimental tests into jet flow physics for engineering model improvement. Additional advantages are also shown in the cost and turn-around time. Thus there is great potential for high-fidelity jet noise simulations to partly replace rig tests for industrial use in the future.
Bibliographical noteFunding Information:
The work is performed as part of the EU-funded project JERONIMO (ACP2-GA-2012-314692-JERONIMO) and the computing time is provided by the UK Turbulence Consortium under EPSRC grant EP/L000261/1 and PRACE Distributed European Computing Initiative (DECI-14) under project InJet.
© 2018 Elsevier Ltd
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- Hybrid LES-RANS
- Jet noise prediction
- Parallel computation
ASJC Scopus subject areas
- Computer Science(all)