Health monitoring system for composite material using electromagnetic field measurement

Michel B. Lemistre; Daniel L. Balageas

doi:10.1117/12.469886

11 June 2002 Health monitoring system for composite material using electromagnetic field measurement

Michel B. Lemistre, Daniel L. Balageas

Proceedings Volume 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems; (2002) https://doi.org/10.1117/12.469886
Event: NDE For Health Monitoring and Diagnostics, 2002, San Diego, California, United States

Abstract

A model of electromagnetic behavior of composite materials such as carbon epoxy or glass epoxy structures has been developed. Based on this model, an electromagnetic method to evaluate the electric conductivity and the electric polarization of this type of material, by measurement of magnetic and electric components of an incident electromagnetic field crossing through the material, has been also developed. A Health Monitoring System (HMS) derived from this technique is presented, which allows to detect and characterize a wide variety of defects inside composite structures. The HMS is constituted of emitting and receiving networks sensitive to magnetic or electric fields, integrated into the composite structure. This system delivers electric images in which the damages can be detected and localized. Various electric images obtained and related to structures including various damages such as impact delamination, fiber breaking, local burning and liquid ingress, are presented and compared to images resulting from classical ultrasonic NDE. The complementary of the present technique with acousto-ultrasonic technique based on Lamb waves propagation, and the interest of combining them in a unique integrated system is evoked.

Citation Download Citation

Michel B. Lemistre and Daniel L. Balageas "Health monitoring system for composite material using electromagnetic field measurement", Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); https://doi.org/10.1117/12.469886

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