Structure · dataset · 2018
Ad hoc methodology for observation wear and fracture surfaces
Listed in DataCite
ABSTRACT In the present work, a methodology of microscopic analysis and measurement of wear surfaces is presented, based on images made using digital processing techniques such as stitching and stac-king.
Description
The images are obtained from an ad-hoc and low-cost microscopic observation system, consisting of sample positioning and focus-elevation modules with micrometric resolution. The objective of the work is to gather as much information in a single image.
The creation of permanent photographic documentation has the advantage of analyzing a surface without danger of manipulating a sample. It was observed that the methodology used was satisfactory for the determination of surface characteristics and measurements for calculation of wear rate in block on ring tests, as well as for some fracture analysis.
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Where it is published
- Repository landing page scielo.figshare.com/articles/Ad_hoc_methodology_for_observation_wear_and_fracture_… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.6857972 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1590/s1517-707620180002.0408 doi.org/10.1590/s1517-707620180002.0408 ↗
publication · from DataCite
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- DataCite API api.datacite.org/dois/10.6084/m9.figshare.6857972 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.6857972 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Civil engineering · Materials engineering
- Inferred from text
- Image 75%
Related
- Inverse of same asAd hoc methodology for observation wear and fracture surfaces
Provenance · 1 source records, 11 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.6857972 | 12 d ago | JSON v1 |
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| concepts[field].fos:materials-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
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