Publication Cover
Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 60, 2011 - Issue 3
365
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

Turbulent Flow and Scalar Mixing of a Coaxial Injector Having Two Fluid Jets

&
Pages 197-211 | Received 12 Oct 2010, Accepted 09 Apr 2011, Published online: 20 Jul 2011
 

Abstract

The turbulent flow and scalar mixing in a coaxial injector having two fluid jets were investigated by using large eddy simulation (LES). Several recess lengths, which are the retracted distance of the inner jet in a coaxial injector, were considered to analyze the geometric effects on the scalar mixing for nonreacting variable–density flows at a constant Reynolds number. The LES results showed the detailed description of flow structures and the changes of turbulent fluctuations caused by the recess. The flow structures in the near field of the injection plane were modified by the recess. When the inner jet was recessed, the development of turbulent kinetic energy became faster than that of the nonrecessed case. Also, it was found that a combination of outer–inner jets with a large density difference is better to complete the flow mixing within shortened streamwise length.

Acknowledgments

This work was supported by the Korea Research Foundation Grant (KRF-2009-013-D00020), and the Engineering and Physical Sciences Research Council through the UK Turbulence Consortium (Grant EP/G069581/1).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 716.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.