Narrow-band κ-distribution database for atomic radiation in hypersonic nonequilibrium flows

Ankit Bansal, Michael F. Modest, Deborah Levin

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

Abstract

Full-spectrum κ-distribution (FSK) and multi-group FSK approaches make it possible to evaluate radiative fluxes at a fraction of the cost needed for line-by-line calculations. However, the required κ-distributions need to be assembled from accurate absorption coefficient data for each flow condition, which is computationally expensive. An accurate and compact narrow-band κ-distribution database has been developed for the most important species encountered in hypersonic nonequilibrium flow. The database allows users to calculate desired full-spectrum k-distributions through look-up and interpolation. Strategies for κ-distribution data generation are outlined. The accuracy of the database is tested by comparing narrow-band mean absorption coefficients and narrow-band emissivities with those obtained from line-by-line calculations. Application of the database to construct full-spectrum κ-distributions accurately and efficiently is discussed, and results from a number of heat transfer calculations and cpu-time studies are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Summer Heat Transfer Conference 2009, HT2009
Pages93-103
Number of pages11
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 ASME Summer Heat Transfer Conference, HT2009 - San Francisco, CA, United States
Duration: Jul 19 2009Jul 23 2009

Publication series

NameProceedings of the ASME Summer Heat Transfer Conference 2009, HT2009
Volume1

Other

Other2009 ASME Summer Heat Transfer Conference, HT2009
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/19/097/23/09

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes

Fingerprint

Dive into the research topics of 'Narrow-band κ-distribution database for atomic radiation in hypersonic nonequilibrium flows'. Together they form a unique fingerprint.

Cite this