Application of a genetic algorithm to the optical characterization of propellent smoke

Matthew R. Jones, M. Quinn Brewster, Yukio Yamada

Research output: Contribution to journalArticlepeer-review

Abstract

A search procedure based on a genetic algorithm is used to determine the optical properties and the particle size distribution function of propellant smoke from angular light-scattering measurements. The optical properties and size distribution parameters are obtained by matching theoretical values with measurements of the light scattered by smoke extracted from the plume of propellants that contain aluminum, magnesium, or zirconium carbide. A genetic algorithm is used to find the theoretical scattering pattern that best fits the measured scattering pattern. The measurements presented in this article were not made in situ, and so the results do not accurately reflect the optical properties and size distribution parameters of smoke found in rocket motors and plumes. However, the retrieved optical properties are in agreement with values available in the literature, and the retrieved size distributions are consistent with expectations based on analysis of the sampling method. Therefore, it is clear that the proposed inversion algorithm could be used to determine the optical properties and size distribution parameters from in situ light-scattering measurements if such measurements were available.

Original languageEnglish (US)
Pages (from-to)372-377
Number of pages6
JournalJournal of thermophysics and heat transfer
Volume10
Issue number2
DOIs
StatePublished - 1996

ASJC Scopus subject areas

  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Application of a genetic algorithm to the optical characterization of propellent smoke'. Together they form a unique fingerprint.

Cite this