Quantitative experimental and model-based imaging of mid-infrared radiation from a turbulent luminous flame

Robert K. Kapaku, Brent A. Rankin, Michael E. Mueller, Harshad U. Lalit, Jay P. Gore

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

Abstract

Quantitative imaging of radiation intensity (QIRI) is a method of investigating temporally and spatially resolved radiation from species and particulates in turbulent flames. The current study reports quantitative images of radiation intensity from a turbulent sooting ethylene flame that matches the Reynolds number (15,200) of a standard flame from the International Workshop on Measurement and Computation of Turbulent Non-premixed Flames. A calibrated high-speed infrared camera with three band-pass filters was used to acquire images of radiation intensity in wavelengths corresponding to carbon dioxide, water vapor, and soot. The luminous flame measurements show thin radiating structures corresponding to soot layers and higher mean and fluctuating radiation intensities compared to quantitative images of radiation intensity from a non-sooting flame. A technique is also presented demonstrating computed images of radiation intensity of a turbulent luminous flame by utilizing a Large Eddy Simulation (LES) and a narrowband radiation intensity model. Preliminary comparisons are made between the experimental and initial computational images of radiation intensity in order to prompt improvements in turbulent sooting flame computational models.

Original languageEnglish (US)
Title of host publication53rd AIAA Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103438
DOIs
StatePublished - 2015
Event53rd AIAA Aerospace Sciences Meeting, 2015 - Kissimmee, United States
Duration: Jan 5 2015Jan 9 2015

Publication series

Name53rd AIAA Aerospace Sciences Meeting

Other

Other53rd AIAA Aerospace Sciences Meeting, 2015
Country/TerritoryUnited States
CityKissimmee
Period1/5/151/9/15

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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