Evidence map›Paper›PMID 41835494›Full record

ArticleACS omega2026

Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling.

Kai Ren, Yuxi Chen, Guoqing Wang, Yujing Xu, Fei Yan, Min Dong

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

6 authors.

Kai RenSchool of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID https://orcid.org/0000-0002-0862-5633
Yuxi ChenSchool of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Guoqing WangSchool of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Yujing XuSchool of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Fei YanNanjing Xiaoxun UAV Technology Co., Ltd, Nanjing 210037, China.
Min DongNanjing Xiaoxun UAV Technology Co., Ltd, Nanjing 210037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automotive cooling fans play a vital role in thermal management, yet conventional designs often struggle to balance efficiency, pressure, and flow requirements. This work presents a multiobjective optimization of an axial-flow fan using response surface methodology and a genetic algorithm. Four critical parameters (the root and tip installation angles and sweep angles) were optimized with respect to volumetric flow rate (

Identifiers

PMID41835494
PMCPMC12980189

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.