Evidence map›Paper›PMID 33256015›Full record

ArticleMaterials (Basel, Switzerland)2020

Influence of ns-Laser Cleaning Parameters on the Removal of the Painted Layer and Selected Properties of the Base Metal.

Xinyan Li, Dan Wang, Juming Gao, Weiwei Zhang, Canyang Li, Nianzheng Wang, Yucheng Lei

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. 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
2.9field-weighted citation impact, top 9% of its field
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, 22 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Xinyan LiSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Dan WangSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Juming GaoSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Weiwei ZhangSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Canyang LiSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Nianzheng WangSuzhou Dvellk Photo-Electricity Technology Co., Ltd., Suzhou 215000, China.
Yucheng LeiSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Jiangsu University · CNSehenstar Energy Technology (China) · CN

Funding

National Natural Science Foundation of China 51705219the Foundation of Key Laboratory of Green Ship Technology of Jiangsu Province 2019Z11the Science Foundation of Senior Talents of Jiangsu University 17JDG039the Students Practice Innovation Training Program Project of Jiangsu University 201910299188Ythe Students Research Project of Jiangsu University 18A022
6 · The paper itself

Abstract

The removal of the surface paint of Q345 (Gr·B) steel, as well as microstructure and hardness of the cleaned surface were investigated. The laser source used in this study is a nanosecond pulsed Gaussian light source. The surface morphology and microstructure were characterized by a scanning electron microscope and electron back-scattered diffraction. A hardness test was used for capturing variations of the parameter of the cleaned region in comparison to the base metal. The results show that when the X-scanning speed was 1500 mm/s and Y-moving speeds was 7 mm/s during ns-laser cleaning, respectively, the cleaned surface was relatively flat and there was only a few small residual paint. In addition, the contents of Fe and C elements on the cleaned surface reached to 89% and 9%, respectively. Moreover, the roughness was the lowest of 0.5 μm through the observation of the three-dimensional topography. In addition, a fine grain layer appeared on the cleaned surface after laser cleaning at the X-scanning speeds of 500 mm/s and 1000 mm/s. The maximum hardness of the fine grain layer was more than 400 HV, higher than the base metal.

Indexed as

element distributionfine grain layerns-laser cleaningpaint layerroughness

Identifiers

PMID33256015
PMCPMC7731039
OpenAlexW3106691516

What OpenQuestion holds

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LicenceCC BY
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.