Using Shocked Micron Size Particle Curtain to Developing Single and Multi-WavelengthPDV Diagnostics
POSTER
Abstract
Los Alamos National Laboratory’s Horizontal Shock Tube (HST) facility is currently set up to study a shocked
particle curtain of micron-scale solid particles in a gas. Applications include transport of ejecta particles subject to
multiple shocks, particle dispersal due to detonations, and supernovae interaction with surrounding medium. We will
discuss the design and creation of additively manufactured nozzles to produce 3-5 mm width low volume fraction
particle curtains. The curtains consist of PMMA, nickle or tin spherical particles with sizes ranging from 3-30 um in
diameter. Particles are injected through a unique particle injection system. The experiments will follow the shock
particle cloud evolution and resulting mass fraction effects. We will utilize multiwavelength PDV, PIV,
shadowgraphy and PDPA diagnostics. The goal is to provide PDV diagnostic development and assist in
computational efforts by providing PDV data to improve code development. The HST provides high repetition rate
experiments and fast iterations which allows statistical analysis of results to extract meaningful data.
particle curtain of micron-scale solid particles in a gas. Applications include transport of ejecta particles subject to
multiple shocks, particle dispersal due to detonations, and supernovae interaction with surrounding medium. We will
discuss the design and creation of additively manufactured nozzles to produce 3-5 mm width low volume fraction
particle curtains. The curtains consist of PMMA, nickle or tin spherical particles with sizes ranging from 3-30 um in
diameter. Particles are injected through a unique particle injection system. The experiments will follow the shock
particle cloud evolution and resulting mass fraction effects. We will utilize multiwavelength PDV, PIV,
shadowgraphy and PDPA diagnostics. The goal is to provide PDV diagnostic development and assist in
computational efforts by providing PDV data to improve code development. The HST provides high repetition rate
experiments and fast iterations which allows statistical analysis of results to extract meaningful data.
Presenters
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Adam A Martinez
Los Alamos National Laboratory (LANL)
Authors
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Adam A Martinez
Los Alamos National Laboratory (LANL)
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Christopher D Noble
Los Alamos National Laboratory (LANL)
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Kyle Hughes
Los Alamos National Laboratory (LANL)
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Antonio B Martinez
Los Alamos National Laboratory
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John J Charonko
Los Alamos National Laboratory (LANL)
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Alexander M Ames
Los Alamos National Laboratory (LANL)
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Tiffany R Desjardins
Los Alamos National Laboratory (LANL)