Investigation of pressure gradient effect on vorticity dynamics and flame stabilization using an in-house LES flow solver

Yagiz Yalcinkaya, Ogeday E. Bozkurt, Tamer Sener, Ayse G. Gungor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study presents the numerical investigation of a triangular bluff body wake under the effect of geometry-induced pressure gradients. Large eddy simulations conducted with an in-house flow solver are presented. First, the solution methodology is validated for a nominal configuration using experimental results. Then, the nominal configuration is modified with ±3 behind the bluff body in order to introduce adverse and favorable pressure gradient effect on the mean flow, turbulence and wake structure. Results indicate that the pressure gradient alters the mean flow and wake generation. Due to the adverse pressure gradient, the flow deceleration in the diffuser configuration increases the wake width and deficit thereby wake strength. Whereas, turbulent kinetic energy induced by cross-stream velocity fluctuations is suppressed in the wake region due to the favorable pressure gradient in the nozzle configuration. Suppressed losses due to reduced small scale activities in the favorable pressure gradient are noticed in the mean axial momentum budget.

Original languageEnglish
Title of host publicationAIAA AVIATION 2022 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106354
DOIs
Publication statusPublished - 2022
EventAIAA AVIATION 2022 Forum - Chicago, United States
Duration: 27 Jun 20221 Jul 2022

Publication series

NameAIAA AVIATION 2022 Forum

Conference

ConferenceAIAA AVIATION 2022 Forum
Country/TerritoryUnited States
CityChicago
Period27/06/221/07/22

Bibliographical note

Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Funding

This work is funded by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant number 219M139. Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM).

FundersFunder number
National Center for High Performance Computing of Turkey
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu219M139

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