Evidence map›Paper›PMID 40415090›Full record

ArticleScientific reports2025

Experimental investigation on the effect of solid particle erosion on the water droplet erosion damages for blade materials.

Juan Di, Jun Ji, Jin Xu, Zhi Li, Ke Ning, Chao-Yi Peng, Jian-Feng Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

7 authors.

Juan DiSchool of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China. juandi@tyust.edu.cn.
Jun JiSchool of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China.
Jin XuSchool of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China.
Zhi LiSchool of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China.
Ke NingEngineering Research Center Heavy Machinery Ministry of Education, Taiyuan University of Science and Technology, Taiyuan, 030024, China.
Chao-Yi PengZhuzhou Times New Material Technology Co., Ltd., Zhuzhou, 412007, China.
Jian-Feng WangCollege of Materials Science and Engineering, Hunan University, Changsha, 410082, China.

Funding

the Fundamental Research Program of Shanxi Province Grant No. 202203021222206the National Natural Science Foundation of China Grant No. 52205212
6 · The paper itself

Abstract

In this paper, the influence of solid particle erosion on the water droplet erosion is explored based on the self-developed erosion test system and high-speed rotating waterjet test rig. The results show that the WDE morphology exhibited distinct structural divergence: substrates displayed stepped fibrous textures (10-20 μm), while the surface presented honeycomb-like stalactite peak cluster structure with each stalactite petal about 2 μm, which is close to the natural stalactite morphology. Besides, it is found that the regular texture or mesh structure of the machined surface is more conducive to the diversion and expansion of the liquid flow than that of the uneven and irregular structure surface formed by the solid particle erosion, making more serious erosion damage of the latter. For martensite substrate and stellite cladding materials, the differences are 5.87 and 2.52 times, respectively.

Indexed as

Blade materialsSolid particle erosionSurface microstructureWater droplet erosionWDE microstructure

Identifiers

PMID40415090
PMCPMC12104438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.