Experimental evaluation of vibration-dissociation coupling models

Joseph Olejniczak, Graham V. Candler, Hans G. Hornung, Chihyung Wen

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

The coupling between the vibrational relaxation process and dissociation process in nitrogen is studied using a computational fluid dynamics method. The conservation of vibrational energy equation is derived and the form of the source terms is determined for all physically consistent coupling models. The results from three current coupling models are compared to existing experimental results for spherical geometries. It is found that the coupling models of Park, Treanor and Marrone, and Macheret and Rich are able to accurately predict the shock stand-off distances and density contours for these conditions. The differences among the models in the amount of vibrational energy removed with dissociation produces differences in the vibrational temperature profiles, however. Computational results show that wedge geometries are more sensitive to the differences between the models. These results are being used to design new experiments which will be more sensitive to the choice of vibration-dissociation coupling model.

Original languageEnglish (US)
DOIs
StatePublished - 1994
EventAIAA/ASME 6th Joint Thermophysics and Heat Transfer Conference, 1994 - Colorado Springs, United States
Duration: Jun 20 1994Jun 23 1994

Other

OtherAIAA/ASME 6th Joint Thermophysics and Heat Transfer Conference, 1994
Country/TerritoryUnited States
CityColorado Springs
Period6/20/946/23/94

Bibliographical note

Funding Information:
This work was supported by the Air Forcc Office of Scientific Research Grant Number F49620-93-1-0338. Computer time was provided by the University of Minnesota Supercomputer Institute.

Publisher Copyright:
© 1994 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Fingerprint

Dive into the research topics of 'Experimental evaluation of vibration-dissociation coupling models'. Together they form a unique fingerprint.

Cite this