Evidence map›Paper›PMID 39266603›Full record

ArticleScientific reports2024

Centralized exhaust system simulation and parameter optimization.

Mingming Lu, Qian Miao, Pengfei Zhang, Guangwei Sun, Mingyue Yang, Yao Zhao, Kai Zhang, Chong Wang, An-Ran Wang, Tong-Fu Zheng

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

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

10 authors.

Mingming LuCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China.
Qian MiaoZhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Pengfei ZhangZhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Guangwei SunHubei Provincial Tobacco Research Institute, Wuhan, 430030, China.
Mingyue YangCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China.
Yao ZhaoCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China.
Kai ZhangCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China. zkzb3026@cjlu.edu.cn.
Chong WangCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China.
An-Ran WangCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, 310018, China.
Tong-Fu ZhengHangzhou Robam Appliances CO. Ltd, Hangzhou, 311100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increase in high-rise buildings in cities, public flue exhaust systems have a direct impact on residential air quality and the living environment. Although existing studies have analyzed the problems in public flue exhaust systems through computational fluid dynamics (CFD) numerical simulations and experimental tests, these studies often lack an in-depth exploration of the specific impacts of individual components in the system. To solve this problem, this study not only thoroughly analyzes the key components in the public flue system, such as branch pipes, check valves, and tee pipes, but also develops a parametric public flue simulation system software based on C# and verifies the accuracy of the simulation through experiments. The study first determines the key parameters affecting the comprehensive resistance coefficient of the branch pipe, check valve, tee pipe, and other components through CFD simulation and experimental testing. Subsequently, a visualization program is developed using the C# language, which can quickly simulate and visualize the flow changes in the flue according to different building parameters such as the number of floors, height of floors, and size of the flue. The results confirm that the program can efficiently predict the flow distribution under different design options, providing a practical tool for the optimal design and performance evaluation of public flues, which is important for improving the air quality of the living environment.

Indexed as

CFDExhaust flueNumerical simulationResistance coefficient

Identifiers

PMID39266603
PMCPMC11393067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.