Abstract:A new aerosol particle classifier, the aerodynamic aerosol classifier (AAC), is presented and its classifying characteristics are determined theoretically. The AAC consists of two rotating coaxial cylinders rotating at the same angular velocity. The aerosol to be classified enters through a gap in the inner cylinder and is carried axially by particle-free sheath flow. The centrifugal force causes the particles between the rotating cylinders to move in the radial direction and particles of a narrow range of par… Show more
“…Figure 3 shows the comparison of the theoretical and experimental response spectra of the AAC-DMA setup using balanced flows for three different AAC resolutions. Like the DMA, the ratio of the sheath flow to aerosol flow in the AAC changes the transfer function width as shown by Tavakoli and Olfert (2013). In general, the experimental results (shown here and in the Supplementary Information) agree fairly well with the theoretical response spectrum when the sheath to aerosol flow ratio is 10.…”
Section: Comparison Of Theoretical and Experimental Response Spectrasupporting
confidence: 77%
“…One AAC prototype was built, tested, and compared with the AAC particle streamline model developed by Tavakoli and Olfert (2013). The AAC prototype was tested over a range of particle sizes.…”
Section: Resultsmentioning
confidence: 99%
“…The particle streamline model developed by Tavakoli and Olfert (2013) showed that the particle relaxation time at the maximum of the transfer function, τ * , is…”
Section: Comparison Of * and Classifier Effective Lengthmentioning
confidence: 99%
“…This letter describes the first prototype of the AAC and experimental results are used to validate the model of the transfer function developed by Tavakoli and Olfert (2013).…”
Section: Introductionmentioning
confidence: 99%
“…This can often lead to ambiguity (or error) in the interpretation of the results or require the use of charge-correction schemes. Tavakoli and Olfert (2013) have presented theoretical models of the transfer function of a new classifier called the aerodynamic aerosol classifier (AAC). The AAC classifies particles by their relaxation time, τ , defined as…”
“…Figure 3 shows the comparison of the theoretical and experimental response spectra of the AAC-DMA setup using balanced flows for three different AAC resolutions. Like the DMA, the ratio of the sheath flow to aerosol flow in the AAC changes the transfer function width as shown by Tavakoli and Olfert (2013). In general, the experimental results (shown here and in the Supplementary Information) agree fairly well with the theoretical response spectrum when the sheath to aerosol flow ratio is 10.…”
Section: Comparison Of Theoretical and Experimental Response Spectrasupporting
confidence: 77%
“…One AAC prototype was built, tested, and compared with the AAC particle streamline model developed by Tavakoli and Olfert (2013). The AAC prototype was tested over a range of particle sizes.…”
Section: Resultsmentioning
confidence: 99%
“…The particle streamline model developed by Tavakoli and Olfert (2013) showed that the particle relaxation time at the maximum of the transfer function, τ * , is…”
Section: Comparison Of * and Classifier Effective Lengthmentioning
confidence: 99%
“…This letter describes the first prototype of the AAC and experimental results are used to validate the model of the transfer function developed by Tavakoli and Olfert (2013).…”
Section: Introductionmentioning
confidence: 99%
“…This can often lead to ambiguity (or error) in the interpretation of the results or require the use of charge-correction schemes. Tavakoli and Olfert (2013) have presented theoretical models of the transfer function of a new classifier called the aerodynamic aerosol classifier (AAC). The AAC classifies particles by their relaxation time, τ , defined as…”
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