CaltechAUTHORS
  A Caltech Library Service

Scanning DMA data analysis II. Integrated DMA-CPC instrument response and data inversion

Mai, Huajun and Kong, Weimeng and Seinfeld, John H. and Flagan, Richard C. (2018) Scanning DMA data analysis II. Integrated DMA-CPC instrument response and data inversion. Aerosol Science and Technology, 52 (12). pp. 1400-1414. ISSN 0278-6826. http://resolver.caltech.edu/CaltechAUTHORS:20181204-084757460

[img] PDF - Supplemental Material
See Usage Policy.

1081Kb

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20181204-084757460

Abstract

Analysis of scanning electrical mobility spectrometer (SEMS) or SMPS data requires coupling the scanning differential mobility analyzer (DMA) transfer function with the response functions for the instrument plumbing and the detector. In the limit of plug flow (uniform velocity) within the DMA, the scanning DMA transfer function has the same form as that for constant voltage. Most SEMS/SMPS data analysis uses this model, though previous studies have shown that boundary layers distort the transfer function during scanning DMA measurements. Part I determined the instantaneous transfer function during scanning of the TSI Model 3081 A long column DMA by modeling the flows, fields, and particle trajectories within the actual DMA geometry. This study (Part II) combines that transfer function with empirical data on the efficiencies and delay time distributions of the plumbing and detector of the SEMS/SMPS to determine the instantaneous rate at which particles are counted, and integrates the count rate over the finite counting time interval to obtain the integrated SEMS/SMPS response function. Simulations using this geometrical model are compared with those obtained using traditional, idealized DMA models for scan rates ranging from slow (240 s) to very fast (10 s), and with measurements of monodisperse calibration aerosols. Data inversion studies show that both increasing and decreasing voltage scans can be used to determine the particle size distribution, even with fast scans.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1080/02786826.2018.1528006DOIArticle
ORCID:
AuthorORCID
Mai, Huajun0000-0002-0616-1986
Kong, Weimeng0000-0002-9432-2857
Seinfeld, John H.0000-0003-1344-4068
Flagan, Richard C.0000-0001-5690-770X
Additional Information:© 2018 American Association for Aerosol Research. Received 30 Mar 2018, Accepted 03 Jul 2018, Accepted author version posted online: 01 Oct 2018, Published online: 20 Nov 2018. The authors thank Dr. K. Beau Farmer of TSI Inc. for providing detailed design drawings of the TSI Model 3081A DMA that made it possible to simulate flows, fields, and particle trajectories in the real instrument. We thank Yuanlong Huang, Wilton Mui, Amanda Grantz, Johannes Leppä, and Paula Popescu for useful discussions. No potential conflict of interest was reported by the authors.
Record Number:CaltechAUTHORS:20181204-084757460
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181204-084757460
Official Citation:Huajun Mai, Weimeng Kong, John H. Seinfeld & Richard C. Flagan (2018) Scanning DMA data analysis II. Integrated DMA-CPC instrument response and data inversion, Aerosol Science and Technology, 52:12, 1400-1414, DOI: 10.1080/02786826.2018.1528006
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91422
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:04 Dec 2018 19:14
Last Modified:21 Dec 2018 15:58

Repository Staff Only: item control page