1 / 6

Anastasios (Tasos) Lyrintzis

Anastasios (Tasos) Lyrintzis. Ph.D. Aerospace Engineering, Cornell University (1988) Helicopter blade-vortex interactions Professor, School of Aeronautics and Astronautics Graduate Chair Faculty Scholar Areas of Research: Computational Aeroacoustics (CAA) Computational Fluid Dynamics (CFD)

holden
Télécharger la présentation

Anastasios (Tasos) Lyrintzis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Anastasios (Tasos) Lyrintzis • Ph.D. Aerospace Engineering, Cornell University (1988) • Helicopter blade-vortex interactions • Professor, School of Aeronautics and Astronautics • Graduate Chair • Faculty Scholar • Areas of Research: • Computational Aeroacoustics (CAA) • Computational Fluid Dynamics (CFD) • Applications: • Jet noise, jet engine mixer and nozzle flows, rotorcraft flows, high-speed boundary layers and shock-boundary layer interactions • Funding: NASA, AARC (Aeroacoustics Research Consortium), 21st Century Research & Technology Fund (with Rolls-Royce) • http://roger.ecn.purdue.edu/~lyrintzi/

  2. Gregory Blaisdell • Ph.D. Mechanical Engineering, Stanford University (1991) • Compressible turbulence simulations • Associate Professor, School of Aeronautics and Astronautics • Areas of Research: • Turbulence simulation and modeling • Computational fluid dynamics (CFD) • Applications: • Jet noise, jet engine mixer and nozzle flows, aircraft wake vortices, high-speed boundary layers and shock-boundary layer interactions • Funding: NASA, AARC (Aeroacoustics Research Consortium), 21st Century Research & Technology Fund (with Rolls-Royce) • https://engineering.purdue.edu/AAE/FacultyStaff/Faculty/showFaculty?resource_id=1446

  3. Current Research Areas Goal Improve engine design methodology for noise reduction Objectives Develop accurate first-principles simulations to understand mechanisms of jet noise generation Develop a noise prediction method for complex jet configurations (e.g. lobed mixers) that does not depend on experiments Engine flow mixing Lobe scalloping

  4. Jet Noise Simulations Large eddy simulations (LES) + surface integral method for the acoustic far-field Typical Run Time: 5 days to run 50,000 time steps using 200 POWER3 processors on an IBM-SP Typical Grid Size: 12 million points

  5. Jet Noise Modeling Reynolds Averaged Navier-Stokes (RANS) with a two-equation model + noise model based on single jet components

  6. Future Directions • Supersonic jet noise (777, 787, Joint Strike Fighter) • Flows with chevrons • Hybrid methods (detached eddy simulations) for flows with complicated geometries (e.g. mixers, ejectors) • Noise control devices GOAL: - Increase the level of understanding of jet noise in order to develop a quieter design

More Related