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Transition prediction for the NASA CRM-NLF with the eN-method using incompressible and compressible linear stability analysis

Krimmelbein, Normann and Krumbein, Andreas (2022) Transition prediction for the NASA CRM-NLF with the eN-method using incompressible and compressible linear stability analysis. AIAA Scitech 2022 Forum, 03.-07. Jan. 2022, San Diego / virtual. doi: 10.2514/6.2022-1953.

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Abstract

Temperature sensitive paint images from a wind tunnel campaign for the CRM-NLF geometry are used to extract experimental transition lines to be used to determine critical N-factors based on incompressible and compressible linear stability theory. Transition locations are subsequently predicted for different flow conditions using RANS computations and linear stability theory in form of the the eN-method. For the stability analyses, the laminar boundary layer data are computed using a boundary layer code for swept, tapered wings. For the transition prediction a sensitivity analysis is performed that takes into account varying critical N-factors and angles of attack. Additionally, the effect of artificially including the turbulent wedges from the experiment in the numerical simulation is investigated. A general good agreement between predicted transition fronts and experimental data is shown which is further improved by adequately adjust the flow conditions in the simulations.

Item URL in elib:https://elib.dlr.de/148210/
Document Type:Conference or Workshop Item (Speech)
Title:Transition prediction for the NASA CRM-NLF with the eN-method using incompressible and compressible linear stability analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Krimmelbein, Normannnormann.krimmelbein (at) dlr.dehttps://orcid.org/0000-0003-3850-9729
Krumbein, AndreasAndreas.Krumbein (at) dlr.dehttps://orcid.org/0000-0002-2772-7328
Date:January 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2514/6.2022-1953
Status:Published
Keywords:CRM, NLF, transition prediction, compressible, incompressible, linear stability theory, eN-method
Event Title:AIAA Scitech 2022 Forum
Event Location:San Diego / virtual
Event Type:international Conference
Event Dates:03.-07. Jan. 2022
Organizer:AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology
Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Krimmelbein, Normann
Deposited On:12 Jan 2022 08:59
Last Modified:12 Jan 2022 08:59

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