Infrared Thermal Imaging Detection Of Debonding Defects In Carbon Fiber Reinforced Polymer Based On Pulsed Thermal Wave Excitation

The carbon fiber reinforced composite has been widely used in many fields of the aviation industry due to the good resistance to fatigue damage, impact resistance, and easy processing. Firstly, the pulse heat conduction model of the carbon fiber reinforced composite is established, and the simulation experiment is completed based on the customized specimen with the defects. The influences of the thermal excitation power and pulse width on the defect detection effect are analyzed and obtained. The total harmonic distortion algorithm is used to process the experimental image sequence. The simulation and experimental results are compared and analyzed to verify their unity. It may provide the theoretical basis and empirical guidance for the defect detection of the composite materials.