A dns study to investigate turbulence suppression in rotating pipe flows

Jefferson Davis, Sparsh Ganju, Neil Ashton, Sean Bailey, Christoph Brehm

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

3 Scopus citations

Abstract

Rotating and swirling turbulence comprises an important class of flows, not only due to the complex physics that occur, but also due to their relevance to many engineering applications, such as combustion, cyclone separation, mixing, etc. In these types of flows, rotation strongly affects the characteristics and structure of turbulence. However, the underlying turbulent flow phenomena are complex and currently not well understood. The axially rotating pipe is an exemplary prototypical model problem that exhibits these complex turbulent flow physics. By examining turbulent statistics, the physical mechanisms responsible for turbulence suppression are investigated. Direct numerical simulations are conducted at a bulk Reynolds number up to ReD = 19,000 with rotation numbers ranging from N = 0 to 3. Within the chosen range of Reynolds numbers, some Reynolds number dependence on the results was observed. Turbulent kinetic energy budgets and Reynolds stresses were computed for these flows to quantify the effects of rotation on the turbulent flow. It is found that rotation causes a reduction in production near the wall and an increase in dissipation in inner-scaled dissipation. Additionally, a small region of increased turbulent production was found near the center of the pipe flow.

Original languageEnglish
Title of host publicationAIAA Aviation 2019 Forum
Pages1-19
Number of pages19
DOIs
StatePublished - 2019
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameAIAA Aviation 2019 Forum

Conference

ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States
CityDallas
Period6/17/196/21/19

Bibliographical note

Publisher Copyright:
© 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Funding

This work was supported by funding from the National Science Foundation under award CBET-1706346 with Dr. R. Joslin as Program Manager. This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562[20]. Research was conducted using the Stampede2 and Comet HPC systems through allocation TG-CTS180008.

FundersFunder number
National Science Foundation (NSF)CBET-1706346
National Science Foundation (NSF)OCI-0725070, ACI-1238993
National Science Foundation (NSF)ACI-1548562

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Aerospace Engineering

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