Electron Microscopy and White Light Interferometry Fractography Images of Ti64 Compact Tension Specimens
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , , , , , , , |
|---|---|
| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901873601019904 |
|---|---|
| author | Jones, Katelyn Shade, Paul John, Reji Musinski, William Pilchak, Adam Chapman, Michael Holm, Elizabeth Rollett, Anthony |
| author_facet | Jones, Katelyn Shade, Paul John, Reji Musinski, William Pilchak, Adam Chapman, Michael Holm, Elizabeth Rollett, Anthony |
| contents | <div> <div> <div> <div> <div> <div> <div> <div>The study of fatigue fracture surfaces presents a perfect opportunity for machine learning (ML) and computer vision (CV) techniques. This work compiles a multimodal set of images taken on the fractured surfaces of fatigue crack growth experiments on Ti-6Al-4V compact tension specimens. Secondary electron (SE), back scattered electron (BSE), and scanning white-light interferometry (SWLI) images were taken on the samples. A set of 102 SE images was taken from near the crack initiation site up to 14mm from the initiation site in regular 1mm increments. The other set of SE images, in addition to the BSE and SWLI, were from large area scans that were stitched together but can be cropped for future ML usage. Labeled data sets such as this can improve the development of ML tools for fractography studies.</div> </div> </div> </div> </div> </div> </div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_18126_qpb3-7246 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Electron Microscopy and White Light Interferometry Fractography Images of Ti64 Compact Tension Specimens Jones, Katelyn Shade, Paul John, Reji Musinski, William Pilchak, Adam Chapman, Michael Holm, Elizabeth Rollett, Anthony fractography Ti64 fatige fracture materials science metal multimodal secondary electron microscopy backscattered electron microscopy scanning white light interferometry Ti-6Al-4V SEM microscopy electron microscopy <div> <div> <div> <div> <div> <div> <div> <div>The study of fatigue fracture surfaces presents a perfect opportunity for machine learning (ML) and computer vision (CV) techniques. This work compiles a multimodal set of images taken on the fractured surfaces of fatigue crack growth experiments on Ti-6Al-4V compact tension specimens. Secondary electron (SE), back scattered electron (BSE), and scanning white-light interferometry (SWLI) images were taken on the samples. A set of 102 SE images was taken from near the crack initiation site up to 14mm from the initiation site in regular 1mm increments. The other set of SE images, in addition to the BSE and SWLI, were from large area scans that were stitched together but can be cropped for future ML usage. Labeled data sets such as this can improve the development of ML tools for fractography studies.</div> </div> </div> </div> </div> </div> </div> </div> |
| title | Electron Microscopy and White Light Interferometry Fractography Images of Ti64 Compact Tension Specimens |
| topic | fractography Ti64 fatige fracture materials science metal multimodal secondary electron microscopy backscattered electron microscopy scanning white light interferometry Ti-6Al-4V SEM microscopy electron microscopy |
| url | https://doi.org/10.18126/qpb3-7246 |