Published November 19, 2021
| Version v1
Dataset
Open
Lamellar and Bi-Modal Ti-64 Microstructure Images
Authors/Creators
- 1. The University of Manchester
Description
A collection of 40 optical micrographs of Titanium-64, taken from different regions of a forged billet. The images comprise two morphologies, bi-modal and lamellar. The first 20 images (Ti64_0.jpg - Ti64_19.jpg) correspond to the bi-modal morphology. The remaning 20 images (Ti64_20.jpg - Ti64_39.jpg) corrrespond to lamellar.
This dataset was comprised to test machine learning algorithms for classification of microstructures.
Files
data.zip
Files
(15.9 MB)
| Name | Size | Download all |
|---|---|---|
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md5:f0073e79900a1f79441852f331673375
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md5:3009c82fa4e491e915f56a46b8aa65ad
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Additional details
Funding
- UK Research and Innovation
- LightForm: Embedding Materials Engineering in Manufacturing with Light Alloys EP/R001715/1