Simulation of Miniature PDMA for Ultrafine-Particle Measurement
The effect of the design and process parameters of a particle-classification zone on the sizing precision of a plate differential mobility analyzer (PDMA) was investigated by simulation software in this work. The design parameters consisted of the length, width, and height of the classification zone...
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doaj-cbdb209a141e4ba0b469545fd0488fe42020-11-25T00:30:16ZengMDPI AGAtmosphere2073-44332019-03-0110311610.3390/atmos10030116atmos10030116Simulation of Miniature PDMA for Ultrafine-Particle MeasurementMingjie Chen0Huanqin Wang1Qiang Sun2Fajun Yu3Yuzhong Wang4Wei Wan5Chengpeng Wang6Huaqiao Gui7Jianguo Liu8Liang Lü9State Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaState Key Laboratory of Transducer Technology, Key Laboratory of Biomimetic Sensing and Advanced Robot Technology of Anhui Province, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Opto-Electronic Information Acquisition and Manipulation of Ministry of Education, Anhui University, Hefei 230601, ChinaThe effect of the design and process parameters of a particle-classification zone on the sizing precision of a plate differential mobility analyzer (PDMA) was investigated by simulation software in this work. The design parameters consisted of the length, width, and height of the classification zone, and the process parameters could lead to height deviation and an uneven classification-zone wall. Prior to investigating the parameters, a comparison between experimental voltages and PDMA simulation results was applied to validate the simulation model. Thanks to velocity-field and particle-trajectory simulations, as well as experimental data from the former version of the PDMA, the dimensions of the classification zone and other key parameters were optimized. Our research shows that the dimensions of the classification zone influence the applied voltages and the measuring range of the PDMA, and range can be extended to 500 nm with low applied voltages after optimization. When the reasonable error range of the height is ±2% for the classification zone, the PDMA could basically achieve a classification role, and when it is ±1%, the PDMA has a better classifying effect.http://www.mdpi.com/2073-4433/10/3/116ultrafine particleparticle sizingmachining processsimulation model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingjie Chen Huanqin Wang Qiang Sun Fajun Yu Yuzhong Wang Wei Wan Chengpeng Wang Huaqiao Gui Jianguo Liu Liang Lü |
spellingShingle |
Mingjie Chen Huanqin Wang Qiang Sun Fajun Yu Yuzhong Wang Wei Wan Chengpeng Wang Huaqiao Gui Jianguo Liu Liang Lü Simulation of Miniature PDMA for Ultrafine-Particle Measurement Atmosphere ultrafine particle particle sizing machining process simulation model |
author_facet |
Mingjie Chen Huanqin Wang Qiang Sun Fajun Yu Yuzhong Wang Wei Wan Chengpeng Wang Huaqiao Gui Jianguo Liu Liang Lü |
author_sort |
Mingjie Chen |
title |
Simulation of Miniature PDMA for Ultrafine-Particle Measurement |
title_short |
Simulation of Miniature PDMA for Ultrafine-Particle Measurement |
title_full |
Simulation of Miniature PDMA for Ultrafine-Particle Measurement |
title_fullStr |
Simulation of Miniature PDMA for Ultrafine-Particle Measurement |
title_full_unstemmed |
Simulation of Miniature PDMA for Ultrafine-Particle Measurement |
title_sort |
simulation of miniature pdma for ultrafine-particle measurement |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-03-01 |
description |
The effect of the design and process parameters of a particle-classification zone on the sizing precision of a plate differential mobility analyzer (PDMA) was investigated by simulation software in this work. The design parameters consisted of the length, width, and height of the classification zone, and the process parameters could lead to height deviation and an uneven classification-zone wall. Prior to investigating the parameters, a comparison between experimental voltages and PDMA simulation results was applied to validate the simulation model. Thanks to velocity-field and particle-trajectory simulations, as well as experimental data from the former version of the PDMA, the dimensions of the classification zone and other key parameters were optimized. Our research shows that the dimensions of the classification zone influence the applied voltages and the measuring range of the PDMA, and range can be extended to 500 nm with low applied voltages after optimization. When the reasonable error range of the height is ±2% for the classification zone, the PDMA could basically achieve a classification role, and when it is ±1%, the PDMA has a better classifying effect. |
topic |
ultrafine particle particle sizing machining process simulation model |
url |
http://www.mdpi.com/2073-4433/10/3/116 |
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