Detection of Impact Damage in Carbon Fibre Composites Using an Electromagnetic Sensor

Zhen Li, Constantinos Soutis, Andrew Gibson, Arthur Haigh, Mohamed Nasr Saleh, Edward Mccarthy, Robin Sloan

    Research output: Contribution to journalArticlepeer-review

    200 Downloads (Pure)

    Abstract

    This paper presents a comprehensive experimental study of impact damage
    detection for carbon fibre-reinforced polymer (CFRP) composites using an
    electromagnetic (EM) sensor with coupled spiral inductors (CSI). Two
    representative types of damage are detected and evaluated, i.e., barely visible
    impact damage (BVID) and delamination. A multi-frequency inspection is
    performed, where the resultant images indicate the potential of the CSI sensor in
    the characterisation of damage extent. The accuracy and efficiency of the CSI
    sensor are compared with the open-ended waveguide imaging, near-field
    microwave microscopy, microwave time-domain reflectometry, the
    complementary split-ring resonator and ultrasonic scanning. Applications and
    limitations of these non-destructive testing (NDT) methods for identifying impact
    damage are discussed. There is a free edge effect on the electromagnetic signal,
    which is illustrated for the first time with the proposed EM technique. Detection
    of the air gap produced by inserting a thin piece into a machined subsurface
    groove is carried out. It is found that the developed CSI sensor is able to
    accurately resolve the location and extent of the air gap. The experimental
    results demonstrate that the sensor could offer an alternative relatively low cost
    method that can be fully automated for structural monitoring of aircraft and
    other composite structures.
    Original languageEnglish
    Number of pages20
    JournalResearch in Nondestructive Evaluation
    Early online date9 Dec 2016
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    Dive into the research topics of 'Detection of Impact Damage in Carbon Fibre Composites Using an Electromagnetic Sensor'. Together they form a unique fingerprint.

    Cite this