Lab-size aerosol lidar chamber: on the road to...
Transcript of Lab-size aerosol lidar chamber: on the road to...
Defence Research andDevelopment Canada
Recherche et développementpour la défense Canada Canada
Lab-size aerosol lidar chamber: on the road to optimization
Sylvie ButeauSupporting team: D. Nadeau, J.-R. Simard, C. Laflamme, P. Lahaie, G. Roy,
P. Mathieu
SBWG July 2010 (Dstl, UK)
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Presentation focus
Artefact source findings and improvements
Original chamber design
System limitations/artefacts
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Lab-size chamber: original design
Short-range bi-axial LIDAR system (355nm) Closed system: control over the environment Dissemination of liquids and dissolved powders
Particles counter
TelescopeBeamBeam expanderexpanderMixingMixing
chamberchamber
Main ChamberSpectrometer
ICCD
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Artifact 1: power drop mitigation
Temperature Ctrl
Heating pads
Thermocouple
Thermal-compensation process + new chiller
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Artifact 2: wet dissemination
Low signal to noise ratio versus concentration
Collison Nebuliser
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Mitigation (#2): dry dissemination
Higher signal to noise ratio versus concentration
Air injection
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Particle size distribution: wet versus dry BG
WetDry
Only few aggregatesMany small particles (32%)
More aggregates Less small particles (3%)
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Source of the higher LIF signal (wet/dry)?
Particle size distribution
Aerosol quantum yield
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LIDAR equation for a fluorescent target
λλλ
λλ
πσ ,0
0
4A a
aaaaaa PNNE Ψ⋅⋅=⋅∝
0000 ,ra
,ac
,aeoc2
0 0pu NAEn λλλλλλλ σξ a
rroe
r rttttr
Δ⋅=raE,, 0λλ
Energydelivered Geometry
OpticsAtmosphere
Columnthickness
Aerosolproperties
Collected Energy
approximations
⋅⋅=i
iiAa dnrN 2π
Plot LIF metric vs NA
0λaslope Ψ∝
Projected area weighted concentration
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Higher LIF signal for dry versus wet BG
Wet Dry
Higher quantum yield for dry BG versus wet BG
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Artifact 3: Limited control over dissemination
Difficult to replicate a given dissemination
scheme
Low control over the concentration within
the chamber
Old BG dry
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Mitigation (#3): Design of new disseminator
Small Scale Powder Disperser (SSPD)
In-house design (D. Nadeau); Dissemination of dry sample; Fully automated dissemination; Controlled by adapted software; Sealed enclosure.
Disseminated quantity adjustment:
Plate groove; Plate speed; Injected air pressure
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Mitigation (#3): SSPD disseminator
Better control over the dissemination scheme
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SSPD disseminator: particle size distribution
SSPD is effective to minimize particle aggregates
Dry Old BG
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Artifact 4: LIF-APS correlation non-linearityNew BG dry (BHI media)
No impact on the signature extraction
Limitation on the cross-section
evaluation
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Artifact 4: Possible sources
APS saturation effect
Bleaching effects
APS sampling effectiveness
Dissemination in-homogeneity
Particle size distribution evolution
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Artifact 4 : APS saturation?
APS saturation will produce non-linearity (at a higher level than the default setting of 1Mppl)
Old BG dry (SSPD)
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Artifact 4 : Bleaching effects?
Difficult to isolate the bleaching effect contribution with the actual set-up following variable testing conditions
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Artifact 4 : APS sampling effectiveness?
Particle velocity and their Stokes number (Stk) may vary significantly due to injection of air during dissemination
In –chamber air flow
APS sampling
(90°)
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Mitigation (#4): LIF- APS non-linearity
Possible bleaching effect No recirculation of the material (open loop chamber) Adjust flow velocity for minimum bleaching effects More testing is needed to assess the bleaching properties
APS sampling Relocate the APS sampling input Adjust in-chamber flow velocity with the APS sampling flow This will be implement only in the new chamber design
APS saturation Ensure the concentration levels are below 1 Mppl
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Other system design observations
In coming flow
Air injection
(SSPD)
Injection orientation interfere with the circling
particle flow
Mixing chamber geometry not optimum for material aerosolization
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Conclusion
System artefacts and limitations
Acquiring data and gaining expertise with the
original chamber
Investigations
Optimised design for the next
chamberFluorescence cross-section evaluation