Numerical studies of the residence time distributions of an inwardly off-center shearing jet stirred reactor (IOS-JSR)

Tianhan Zhang, Hao Zhao, Yiguang Ju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A newly developed inwardly off-center shearing jet stirred reactor (IOS-JSR) is proposed for enhanced turbulent mixing and better-defined mean flow residence times. As compared with two traditional JSRs, the present IOS-JSR is shown to have significant improvement in terms of resulting mixture uniformity and residence time distribution. The main drawback in traditional JSR design is the formation of strong vortices, which result in large residence time of the recirculating particles. As such, the distributions of residence time in traditional JSRs are much widened and fat-tailed. On the other hand, the jet configurations in the proposed IOS-JSR generate small vortices with different orientations, such that the net vorticity is close to zero. As a result, the IOS-JSR has a much narrower residence time distribution and can thus potentially improve current JSR design.

Original languageEnglish (US)
Title of host publicationAIAA Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Edition210059
ISBN (Print)9781624105241
DOIs
StatePublished - Jan 1 2018
EventAIAA Aerospace Sciences Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Publication series

NameAIAA Aerospace Sciences Meeting, 2018
Number210059

Other

OtherAIAA Aerospace Sciences Meeting, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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    Zhang, T., Zhao, H., & Ju, Y. (2018). Numerical studies of the residence time distributions of an inwardly off-center shearing jet stirred reactor (IOS-JSR). In AIAA Aerospace Sciences Meeting (210059 ed.). (AIAA Aerospace Sciences Meeting, 2018; No. 210059). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-1622