elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Coupling of a Simplified Stability-Based Transition Transport Model with the Negative Spalart-Allmaras Turbulence Model

Francois, Daniela Gisele and Krumbein, Andreas (2021) Coupling of a Simplified Stability-Based Transition Transport Model with the Negative Spalart-Allmaras Turbulence Model. In: 20. STAB-Workshop - Jahresbericht 2021, pp. 31-32. 20. STAB-Workshop 2021, 16.-17.11.2021, Göttingen, Deutschland.

[img] PDF - Only accessible within DLR
1MB

Official URL: https://www.dlr.de/as/Portaldata/5/Resources/dokumente/veranstaltungen/stab_workshop/STAB-Jahresbericht-2021.pdf

Abstract

The laminar-turbulent transition plays a direct role on drag production, and thereby directly impacts on the aerodynamic efficiency and the aircraft operation cost. Therefore, the availability of reliable tools for the transition prediction is of primary interest for computational fluid dynamics (CFD) as a suitable aircraft design tool. Accurate numerical transition prediction can be achieved applying the eN method based on linear stability theory (LST). However, the strong complexity of the approach which requires non-local quantities, and streamlines as well as wall-normal integrations makes its implementation challenging on complex geometries requiring high user expertise. Alternatively, transition transport models (TTM) like the γ-Reθt model [1] are more flexible, robust, and user-friendly, but their accuracy highly depends on the applied transition criterion and the local modeling of the required boundary-layer parameters. In [2] a new γ-based one-equation transition transport model was implemented in the DLR TAU code. The new model applies the LST-based transition criterion from [3] and an improved local modeling of the integral parameters of the boundary layer that takes into account pressure-gradient effects. First, the new TTM has been coupled to the Menter shear stress transport (SST) turbulence model and it yields very satisfactory transition prediction results [2, 4] showing, in many cases, a very good agreement with the results obtained with the eN method. Therefore, the application of this new TTM has recently been extended to the negative Spalart-Allmaras (SA-neg) turbulence model [5], and the coupling approach as well as the simulation results will be presented during the STAB workshop.

Item URL in elib:https://elib.dlr.de/145857/
Document Type:Conference or Workshop Item (Speech)
Title:Coupling of a Simplified Stability-Based Transition Transport Model with the Negative Spalart-Allmaras Turbulence Model
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Francois, Daniela GiseleDaniela.Francois (at) dlr.deUNSPECIFIED
Krumbein, AndreasAndreas.Krumbein (at) dlr.dehttps://orcid.org/0000-0002-2772-7328
Date:16 November 2021
Journal or Publication Title:20. STAB-Workshop - Jahresbericht 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 31-32
Editors:
EditorsEmailEditor's ORCID iD
UNSPECIFIEDSTABUNSPECIFIED
Series Name:Jahresbericht
Status:Published
Keywords:Transition transport model, Gamma(CAS), Intermittency, Tollmien–Schlichting, Negative Spalart–Allmaras model
Event Title:20. STAB-Workshop 2021
Event Location:Göttingen, Deutschland
Event Type:Workshop
Event Dates:16.-17.11.2021
Organizer:DLR, STAB
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 - Digital Technologies
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Francois, Daniela Gisele
Deposited On:05 Jan 2022 10:41
Last Modified:22 Feb 2022 18:19

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.