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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Laser Surface Texturing on Biomedical Implants

Authors: IJRAME Journal;

Laser Surface Texturing on Biomedical Implants

Abstract

One of the new technologies for producing a texture or pattern on a work surface is laser surface texturing (LST). It is a practical way to add texture to a work area. The use of various lasers to create textures on the surface of work materials is documented in the literature. LST has recently demonstrated incredible potential in the area of biological applications. The LST technique has significantly increased the biomaterial's effectiveness. An extensive analysis of laser surface texturing for biomedical applications is presented in this research. A detailed analysis of LST's impact on significant biomaterials revealed that it has a tremendous potential for surface modification of biomaterials and can be used in biomedical applications.

Keywords

biomedical engineering, surface texturing, surface roughness, laser micromachining

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green