Evidence map›Paper›PMID 35630151›Full record

ArticleMicromachines2022

RETRACTED: Measuring Liquid Droplet Size in Two-Phase Nozzle Flow Employing Numerical and Experimental Analyses.

Lin Jiang, Wei Rao, Lei Deng, Atilla Incecik, Grzegorz Królczyk, Zhixiong Li

RetractedAbstract readRetracted Publication
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. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Lin JiangLongyan Tobacco Industry Co., Ltd., Longyan 364021, China.
Wei RaoLongyan Tobacco Industry Co., Ltd., Longyan 364021, China.
Lei DengSchool of Electrical, Computer & Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0003-3815-2635
Atilla IncecikDepartment of Naval Architecture, Ocean, and Marine Engineering, University of Strathclyde, Glasgow G11XQ, UK.
Grzegorz KrólczykDepartment of Manufacturing Engineering and Automation Products, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0002-2967-1719
Zhixiong LiDepartment of Manufacturing Engineering and Automation Products, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0002-7265-0008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The flavoring process ensures the quality of cigarettes by endowing them with special tastes. In this process, the flavoring liquid is atomized into particles by a nozzle and mixed with the tobacco in a rotating drum. The particle size of the flavoring liquid has great influence on the atomization effect; however, limited research has addressed the quantitation of the liquid particle size in two-phase nozzle flow. To bridge this research gap, the authors of this study employed numerical and experimental techniques to explore the quantitative analysis of particle size. First, a simulation model for the flavoring nozzle was established to investigate the atomization effect under different ejection pressures. Then, an experimental test is carried out to compare the test results with the simulation results. Lastly, the influencing factors of liquid particle size in two-phase nozzle flow were analyzed to quantify particle size. The analysis results demonstrated that there was a cubic correction relationship between the simulation and experiment particle size. The findings of this study may provide a reliable reference when evaluating the atomization effect of flavoring nozzles.

Indexed as

atomization effectliquid particle measuringquantitative analysistwo-phase flow

Identifiers

PMID35630151
PMCPMC9148037

What OpenQuestion holds

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LicenceCC BY
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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.