Evidence map›Paper›PMID 39063715›Full record

ArticleMaterials (Basel, Switzerland)2024

Wettability-Oriented Laser Microgrooving Process on Cemented Carbide Surface.

Jing Ni, Xianle Huang, Zhen Zhang, Zuji Li, Binjie Lv, Xinyu Gao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jing NiSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0003-4973-7241
Xianle HuangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0009-0004-9439-3462
Zhen ZhangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Zuji LiSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Binjie LvSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Xinyu GaoSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

the National Key R&D Program of China 2022YFB3401900the National Natural Science Foundation of China U21A20134Zhejiang Provincial Natural Science Foundation of China under LQ23E050011
6 · The paper itself

Abstract

Surface micro-texture has been shown to enhance wettability and reduce wear on cutting tools. However, there is limited research on how laser parameters impact the dimensional accuracy of surface texture and its wettability. This study focuses on producing arrayed groove textures on WC/Co cemented carbide surfaces using Nd: YAG laser, evaluating the effect of the laser parameters on surface topography and texture accuracy through microscopic observation and simulation. The results indicate that, with laser parameters such as a number of passes less than 5, approximately 16 W power, scanning speed of 100-150 mm/s, and pulse frequency of 30 kHz, the error between the groove width and laser spot diameter was 4.7%. Additionally, the study explores the impact of the groove texture on surface wettability using the solid droplet method and XPS analysis. Comparative experiments reveal that increased surface roughness enhanced oleophobicity, with surfaces exhibiting high texture accuracy and integrity showing improved oleophobic and spreading properties. Thus, the precise regulation of laser processes is crucial for maintaining surface texture integrity and enhancing surface wettability.

Indexed as

cemented carbidegroove texturelaser scanningwettability

Identifiers

PMID39063715
PMCPMC11277878

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.