Non-destructive testing methods for rapid and reliable corrosion detection in complex metallic assemblies are an ongoing
challenge due to practicalities of inspection and geometric complexity. Corrosion damage, unlike the fatigue
damages are almost impossible to determinate where or when it will affect the structures, the current engineering
methodology can only determinate the susceptible areas for corrosion. In this scenario, it is very difficult to chose the
structures to monitor. Placing sensors on all susceptible areas is not practical.
This work demonstrates the evaluation of the Lamb Waves approach in order to detect and locate simulated damages in
aluminum alloys placed orthogonally from the sensor network surface. The tests were performed using a typical
aeronautical specimen configuration and Direct Image Path from Acellent Technologies. The experimental results
indicate the Lamb Waves technique is highly accurate and it has become promising application to detect corrosion
damage. This study is part of a set study of several SHM Technologies, like CVM (Comparative Vacuum Monitoring),
EMI (Electro-Mechanical Impedance), AE (Acoustic Emission), LW (Lamb Waves). Those studies are under
EMBRAER's RandD program.