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Nanosecond laser coloration on stainless steel surface

Overview of attention for article published in Scientific Reports, August 2017
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3 X users

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37 Mendeley
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Title
Nanosecond laser coloration on stainless steel surface
Published in
Scientific Reports, August 2017
DOI 10.1038/s41598-017-07373-8
Pubmed ID
Authors

Yan Lu, Xinying Shi, Zhongjia Huang, Taohai Li, Meng Zhang, Jakub Czajkowski, Tapio Fabritius, Marko Huttula, Wei Cao

Abstract

In this work, we present laser coloration on 304 stainless steel using nanosecond laser. Surface modifications are tuned by adjusting laser parameters of scanning speed, repetition rate, and pulse width. A comprehensive study of the physical mechanism leading to the appearance is presented. Microscopic patterns are measured and employed as input to simulate light-matter interferences, while chemical states and crystal structures of composites to figure out intrinsic colors. Quantitative analysis clarifies the final colors and RGB values are the combinations of structural colors and intrinsic colors from the oxidized pigments, with the latter dominating. Therefore, the engineering and scientific insights of nanosecond laser coloration highlight large-scale utilization of the present route for colorful and resistant steels.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 8 22%
Student > Bachelor 5 14%
Professor > Associate Professor 3 8%
Student > Master 3 8%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Engineering 8 22%
Materials Science 7 19%
Physics and Astronomy 4 11%
Chemistry 4 11%
Social Sciences 2 5%
Other 2 5%
Unknown 10 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2018.
All research outputs
#14,077,124
of 22,996,001 outputs
Outputs from Scientific Reports
#65,030
of 124,158 outputs
Outputs of similar age
#170,068
of 317,618 outputs
Outputs of similar age from Scientific Reports
#2,953
of 6,009 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6,009 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.