2011
DOI: 10.21236/ada538199
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Dark Zones of Solid Propellant Flames: Critical Assessment and Quantitative Modeling of Experimental Datasets With Analysis of Chemical Pathways and Sensitivities

Abstract: Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Informat… Show more

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Cited by 2 publications
(1 citation statement)
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“…The development of system-specific gas-phase finite-rate chemical kinetics mechanisms is a significant part of these efforts (Anderson et al, 2010;Chen and McQuaid, 2007;Chen and McQuaid, 2011;Chen and McQuaid, 2012;Kotlar, 2010;McQuaid et al, 2011;McQuaid et al, 2012). Built on a foundation laid by prior ARL efforts to model the ignition and combustion of gun propellants (see Anderson et al [2011] and references therein), the Army's support for mechanism development has been based on the demonstrated ability of such mechanisms to improve the predictive power of the CFD models.…”
Section: Introductionmentioning
confidence: 99%
“…The development of system-specific gas-phase finite-rate chemical kinetics mechanisms is a significant part of these efforts (Anderson et al, 2010;Chen and McQuaid, 2007;Chen and McQuaid, 2011;Chen and McQuaid, 2012;Kotlar, 2010;McQuaid et al, 2011;McQuaid et al, 2012). Built on a foundation laid by prior ARL efforts to model the ignition and combustion of gun propellants (see Anderson et al [2011] and references therein), the Army's support for mechanism development has been based on the demonstrated ability of such mechanisms to improve the predictive power of the CFD models.…”
Section: Introductionmentioning
confidence: 99%