Evidence map›Paper›PMID 36144100›Full record

ArticleMicromachines2022

Computational Fluid Dynamics Study of the Effects of Temperature and Geometry Parameters on a Virtual Impactor.

Ruofei Wang, Heng Zhao, Jiaqi Li, Xingbo Wang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ruofei WangCentre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Heng ZhaoCentre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Jiaqi LiCentre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Xingbo WangCentre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Xi'an University of Technology · CN

Funding

National Natural Science Foundation of China under Grant 51775429Open Fund of Key Laboratory of Electronic Equipment Structure Design (Ministry of Education) in Xidian University EESD1901Science and Technology Program of Xi'an, China under Grant 2020KJRC0080
6 · The paper itself

Abstract

The virtual impactor, as an atmospheric particle classification chip, provides scientific guidance for identifying the characteristics of particle composition. Most of the studies related to virtual impactors focus on their size structure design, and the effect of temperature in relation to the dynamic viscosity on the cut-off diameter is rarely considered. In this paper, a new method that can reduce the cut-off particle size without increasing the pressure drop is proposed. Based on COMSOL numerical simulations, a new ultra-low temperature virtual impactor with a cut-off diameter of 2.5 μm was designed. A theoretical analysis and numerical simulation of the relationship between temperature and the performance of the virtual impactor were carried out based on the relationship between temperature and dynamic viscosity. The effects of inlet flow rate (Q), major flow channel width (S), minor flow channel width (L) and split ratio (r) on the performance of the virtual impactor were analyzed. The collection efficiency curves were plotted based on the separation effect of the new virtual impactor on different particle sizes. It was found that the new ultra-low temperature approach reduced the PM2.5 cut-off diameter by 19% compared to the conventional virtual impactor, slightly better than the effect of passing in sheath gas. Meanwhile, the low temperature weakens Brownian motion of the particles, thus reducing the wall loss. In the future, this approach can be applied to nanoparticle virtual impactors to solve the problem of their large pressure drop.

Indexed as

air−microfluidic chipcomputational fluid dynamicsdynamic viscosityPMvirtual impactor

Identifiers

PMID36144100
PMCPMC9501135
OpenAlexW4294931079

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.