| Autor: |
John Wertz, Matt Cherry, Sean O'Rourke, Laura Homa, Nick Lorenzo, Erik Blasch |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Materials Evaluation. 80:24-29 |
| ISSN: |
0025-5327 |
| DOI: |
10.32548/2022.me-04274 |
| Popis: |
The capability of a material depends on multiscale physical properties. In many cases, state-of-the-art material characterization methods for micro-to-mesoscale features require extensive preparation or destructive analysis. These shortcomings limit their use for quality control of component-scale parts, as extensive preparation or destructive analysis are prohibitively expensive or impossible for real-time assessment. One example is the detection and characterization of critical microtexture regions in titanium, where the state-of-the-art sensing method is both damaging and constrained to a laboratory environment. New sensing approaches that achieve the capability of laboratory-based characterization methods without destructive assessment offer promise for manufacturing, inspection, and assembly. A potential solution is to develop novel data fusion algorithms to complement existing nondestructive evaluation (NDE) techniques. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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