Structural health monitoring of aerospace materials used in industry using electrical potential mapping methods

S. A. Grammatikos; M.-E. Kouli; G. Gkikas; A. S. Paipetis

doi:10.1117/12.915492

30 March 2012 Structural health monitoring of aerospace materials used in industry using electrical potential mapping methods

S. A. Grammatikos, M.-E. Kouli, G. Gkikas, A. S. Paipetis

Author Affiliations +

Proceedings Volume 8346, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012; 83461K (2012) https://doi.org/10.1117/12.915492
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

Abstract

The increasing use of composite materials in aerostructures has prompted the development of an effective structural health monitoring system. A safe and economical way of inspection is needed in order for composite materials to be used more extensively. Critical defects may be induced during the scheduled repair which may degrade severely the mechanical properties of the structure. Low velocity impact LVI damage is one of the most dangerous and very difficult to detect types of structural deterioration as delaminations and flaws are generated and propagated during the life of the structure. In that sense large areas need to be scanned rapidly and efficiently without removal of the particular components. For that purpose, an electrical potential mapping was employed for the identification of damage and the structural degradation of aerospace materials. Electric current was internally injected and the potential difference was measured in order to identify induced damage in Carbon Fiber Reinforced Polymer (CFRP) structures. The experimental results of the method were compared with conventional C-scan imaging and evaluated.

Citation Download Citation

S. A. Grammatikos, M.-E. Kouli, G. Gkikas, and A. S. Paipetis "Structural health monitoring of aerospace materials used in industry using electrical potential mapping methods", Proc. SPIE 8346, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012, 83461K (30 March 2012); https://doi.org/10.1117/12.915492

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