Evidence map›Paper›PMID 37893397›Full record

ArticleMicromachines2023

High-Power Femtosecond Laser Processing of SiC Ceramics with Optimized Material Removal Rate.

Jian Zhang, Zhichao Liu, Yuanhang Zhang, Feng Geng, Shengfei Wang, Fei Fan, Qinghua Zhang, Qiao Xu

Abstract read
In one paragraph

Article in Micromachines, 2023. 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. Article
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

8 authors.

Jian ZhangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.ORCID 0000-0002-4850-9290
Zhichao LiuLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Yuanhang ZhangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Feng GengLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Shengfei WangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Fei FanLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Qinghua ZhangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Qiao XuLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.

Funding

National Natural Science Foundation of China 62105308Natural Science Foundation of Sichuan Province 2023NSFSC0045
6 · The paper itself

Abstract

Silicon carbide (SiC) ceramics are widely used as structural materials for various applications. However, the extraordinarily high hardness, brittleness, low material removal rate, and severe tool wear of these materials significantly impact the performance of conventional mechanical processing techniques. In this study, we investigated the influence of different parameters on the material removal rate, surface quality, and surface oxidation during the laser processing of SiC ceramic samples using a high-repetition-frequency femtosecond laser at a wavelength of 1030 nm. Additionally, an experimental investigation was conducted to analyze the effects of a burst mode on the material removal rate. Our results demonstrate that the surface oxidation, which significantly affects the material removal rate, can be effectively reduced by increasing the laser scanning speed and decreasing the laser scanning pitch. The material removal rate and surface quality are mainly affected by laser fluence. The optimal material removal rate is obtained with a laser fluence of 0.4 J/cm

Indexed as

femtosecond laserlaser processingmaterial removal rateSiC ceramicssurface oxidation

Identifiers

PMID37893397
PMCPMC10609315

What OpenQuestion holds

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LicenceCC BY
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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.