AIAA CFD Transition Modeling Prediction Workshop
- Assess the current state of the art in laminar-turbulent transition prediction in an industrial CFD environment
- Determine and document best practices for transitional flow simulations
- Verify transition/turbulence model implementations
- Encourage risk taking by participants and promote improvements to CFD prediction capabilities
- The Transition Modeling and Prediction Workshop is modeled after the AIAA Drag Prediction and High-Lift Prediction Workshop series.
- The primary test case will be the natural-laminar-flow variant of the Common Research Model (CRM-NLF) developed by NASA.
- Participation in the transition modeling studies is not required to attend the workshop. Everyone is welcome!
- Open forums and discussions will be included to encourage cross-pollination of ideas and practices.
- Results will be made available after the workshop in a report and on the workshop website.
- AIAA membership is not required.
Workshop Website: transitionmodeling.larc.nasa.gov/
Contact: For more information on the Workshop, contact: email@example.com
Workshop Organizing Committee:
AIAA Applied Aerodynamics Technical Committee
- James Coder (University of Tennessee at Knoxville)
- Douglas Stefanski (University of Tennessee at Knoxville)
- James Baeder (University of Maryland)
- Meelan Choudhari (NASA Langley Research Center)
- Gregory Delattre (ONERA)
- Marie Denison (NASA Ames Research Center)
- Andreas Krumbein (DLR)
- Matthew Tufts (AFRL)
1st Workshop Results
The 1st AIAA CFD Transition Modeling and Prediction Workshop was held on January 21-22, 2021 in conjunction with the AIAA SciTech Forum. The workshop announcement is available here. A majority of the workshop presentations may be accessed online by clicking on the presenter name and/or the presentation title from the final agenda for the workshop that is posted here.
AIAA Training Links
Upcoming Public Courses and Workshops
For information, group discounts,
and private course pricing, contact:
Lisa Le, Education Specialist (firstname.lastname@example.org)