Evidence map›Paper›PMID 34837106›Full record

ArticleEnvironmental science and pollution research international2022

Numerical analysis on a novel CGPFs for improving NOx conversion efficiency and particulate combustion efficiency to reduce exhaust pollutant emissions.

Yong Xie, Qingsong Zuo, Qingwu Guan, Kexiang Wei, Bin Zhang

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yong XieSchool of Mechanical Engineering, Xiangtan University, Xiangtan, 411105, China.
Qingsong ZuoSchool of Mechanical Engineering, Xiangtan University, Xiangtan, 411105, China. zuoqingsong100@xtu.edu.cn.
Qingwu GuanTechnique Center, Hunan Tyen Machinery Co., Ltd, Hengyang, 421000, China.
Kexiang WeiHunan Provincial Key Laboratory of Vehicle Power and Transmission System, Hunan Institute of Engineering, Xiangtan, 411104, China.
Bin ZhangSchool of Mechanical Engineering, Xiangtan University, Xiangtan, 411105, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the NOx conversion efficiency and particulate combustion efficiency under cold-start conditions (low-temperature conditions) is still the main challenge faced by catalytic gasoline particulate filter systems (CGPFs). In this study, the physical and mathematical models of novel CGPFs are proposed based on the computational fluid dynamics software. Then, the models are validated based on experiments, and the performances of conventional and novel CGPFs are analyzed comparatively. The comparison conclusions indicate that the NOx conversion efficiency of the novel CGPFs increases by 3.2% and the particulate combustion efficiency increases by 2.7% under the same operating condition. Finally, the effects of exhaust flow v

Indexed as

Air PollutantsEnvironmental PollutantsDustGasolineMineralsParticulate MatterVehicle EmissionsAir PollutantsDustEnvironmental PollutantsGasolineMineralsParticulate MatterVehicle EmissionsCatalytic gasoline particulate filter systemElectric heating powerGasoline engineNOx conversion efficiencyParticulate combustion efficiencyVehicle emission

Identifiers

PMID34837106

What OpenQuestion holds

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Registered trials

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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.