Quantitative comparison of optical transmission scanning with conventional techniques for NDE of impact damage in GFRP composites
| Autor: | Lalita Udpa, Ermias Gebrekidan Koricho, Gary Cloud, Oleksii Karpenko, Anton Khomenko, Mahmoodul Haq |
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| Rok vydání: | 2017 |
| Předmět: |
Materials science
business.industry Mechanical Engineering Ultrasonic testing Delamination Image processing 02 engineering and technology Dye penetrant inspection Fibre-reinforced plastic 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Industrial and Manufacturing Engineering 0104 chemical sciences Characterization (materials science) Transmission (telecommunications) Mechanics of Materials Nondestructive testing Ceramics and Composites Composite material 0210 nano-technology business |
| Zdroj: | Composites Part B: Engineering. 123:92-104 |
| ISSN: | 1359-8368 |
| DOI: | 10.1016/j.compositesb.2017.05.008 |
| Popis: | Robust and quantitative non-destructive evaluation (NDE) is essential for damage characterization in advanced materials, such as glass fiber reinforced polymer (GFRP) composites. Previous work demonstrated the capabilities of an optical transmission scanning (OTS) system, including an advanced image processing algorithm, for rapid and non-contact NDE of healthy and impacted GFRP samples. The number of delaminations and their contours in the test samples were accurately identified. In this paper, damage was introduced in GFRP samples by low velocity impacts of different energies, and OTS was validated by comparing the inspection results with conventional NDE techniques, including pulse-echo ultrasonic testing (UT) and UV dye penetrant testing (UV DPT). In addition, quantitative comparisons of damage severity were made for OT scans and UT C-scans by converting images to a normalized damage metric. Experimental results demonstrated that the estimated extent of impact damage agreed very well for all used techniques. Thus, OTS combines the cost-effectiveness and rapidity of qualitative techniques (e.g., UV DPT) with the more robust and comprehensive data analysis provided by quantitative methods (e.g., UT). |
| Databáze: | OpenAIRE |
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