Digital image correlation and infrared thermography data for seven unique geometries of 304L stainless steel
Abstract Material Testing 2.0 (MT2.0) is a paradigm that advocates for the use of rich, full-field data, such as from digital image correlation and infrared thermography, for material identification. By employing heterogeneous, multi-axial data in conjunction with sophisticated inverse calibration t...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-10-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-024-03949-y |