2011
DOI: 10.1080/02786826.2010.530625
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Mass Range and Optimized Operation of the Aerosol Particle Mass Analyzer

Abstract: We investigated, theoretically, the mass range in which an aerosol particle mass analyzer (APM) can be used for classification, and how the APM classification performance can be optimized. We listed factors that set limits to the APM, which were constraints of the rotation speed and the voltage, as well as requirements on the APM classification performance parameter, λ, that guarantee at least minimal performance in both resolution and penetration. We introduced the APM operation diagram, which is a tool to vi… Show more

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Cited by 52 publications
(81 citation statements)
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References 22 publications
(24 reference statements)
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“…1a). The ratio of the sample and sheath flows of the DMA remained constant at a value of 0.10, and the λ parameter, which characterizes the classification performance of the APM (Tajima et al 2011), was maintained at either 0.32 or 0.50.…”
Section: Methodsmentioning
confidence: 99%
“…1a). The ratio of the sample and sheath flows of the DMA remained constant at a value of 0.10, and the λ parameter, which characterizes the classification performance of the APM (Tajima et al 2011), was maintained at either 0.32 or 0.50.…”
Section: Methodsmentioning
confidence: 99%
“…Then the sample was split between the aerosol electrometer (4 L/min) and the challenge instrument (2 L/min for the LII 300, or 4 L/min for the MSS), allowing both instruments to measure the same mass 1 More information about determining resolution can be found in Tajima et al (2011), which discusses the resolution of the aerosol particle mass analyser (APM). The APM operates very similarly to the CPMA, and the way that the resolution is defined and determined is directly comparable.…”
Section: Methodsmentioning
confidence: 99%
“…The nano-PMC uses the same operating principle and a similar geometry as the APM models described by Ehara et al (1996) and Tajima et al (2011Tajima et al ( , 2013. The equations of particle motion within the classification region of nano-PMC can FIG.…”
Section: Classification Principlementioning
confidence: 99%
“…Particles at radial positions other than r C experience force imbalance and therefore travel toward the classifier walls. This effectively lowers the maximum amplitude P of the transfer function, which can be estimated by (Tajima et al 2011(Tajima et al , 2013:…”
Section: Classification Principlementioning
confidence: 99%
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