Abstract

Sonic Infrared (SIR) NDE is hybrid nondestructive testing technique that uses ultrasonic excitation along with infrared imaging to detect defects in the structures being inspected. This technology can detect defects of different types in a wide range of materials such as metal alloys, ceramics and composites. Recently, composites have become genuine components in modern aerospace industry. Due to their light weight and robust properties, composites continue to replace traditional materials like steel and aluminum. However, composites are prone to impact damage; such damage is a source of mechanical weakness and may lead to structure failure. Quantitative defect depth estimation can help aid repair assessments and reduce maintenance costs. In last year’s QNDE, we presented a model that can be used to describe heat diffusion from impact damage in composite structures during SIR inspection. The model uses certain aspects of the temperature-time curve for defect depth profiling, namely, half-maximum power point, the peak slope point and the second derivative peak point. In this study, we investigate the effect of defect size on the quantitative estimation of defect’s depth.

How to Cite:

Obeidat, O., Yu, Q. & Han, X., (2019) “The effect of defect size on the quantitative estimation of defect depth in composite structures using SIR NDE”, Review of Progress in Quantitative Nondestructive Evaluation .