Digital image processing of an acoustically excited jet flow

Yei Chin Chao, M. S. Jeng, J. M. Han

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

Abstract

Recent work to study excitation effects on an acoustically excited jet flow is reported. Emphasis is placed on integreated visualization and digital image processing of high resolution, sequential planar gas concentrations of some characteristics of the large scale vortical structures of the acoustically excited jet flow, such as multi-eddy merging, vortex braids formation, eddy evolution and entrainment processes, jet boundary expansion, etc. The digital image processing technique employed there extends our previous work (Chao, et. al. 1990) for optimal threshold filtering of the background noise and in situ calibration of camera and illumination distortions. A compact, low-cost, automatic frame acquisition and analysis system is developed for mean and r.m.s. planar gas concentrations and automatic jet boundary identification. Also, stroboscopic images are created for detailed sequential study of a quick-changing process using a low framing-rate camera by suitably controlling the acoustic excitation frequency and the jet flow.

Original languageEnglish
Title of host publicationExperimental and Numerical Flow Visualization
PublisherPubl by ASME
Pages113-124
Number of pages12
ISBN (Print)0791808742
Publication statusPublished - 1991
EventWinter Annual Meeting of the American Society of Mechanical Engineers - Atlanta, GA, USA
Duration: 1991 Dec 11991 Dec 6

Publication series

NameAmerican Society of Mechanical Engineers, Fluids Engineering Division (Publication) FED
Volume128

Other

OtherWinter Annual Meeting of the American Society of Mechanical Engineers
CityAtlanta, GA, USA
Period91-12-0191-12-06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Chao, Y. C., Jeng, M. S., & Han, J. M. (1991). Digital image processing of an acoustically excited jet flow. In Experimental and Numerical Flow Visualization (pp. 113-124). (American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FED; Vol. 128). Publ by ASME.