Abstract
A Microwave Time Reversal Algorithm for Imaging Extended Defects in Dielectric Composites
Highlights
C OMPOSITES are being employed [1], [2] to replace metals due to their high mechanical strength, durability and resistance to corrosion [3], as well as their light-weight flexibility and their capacity for fine-tuning of mechanical properties
This paper presents an imaging algorithm which uses timereversed microwave information from multiple sources to image extended defects in dielectric composite materials
Parametric studies were conducted that demonstrate the suitability of the algorithm for detecting subsurface voids in a composite material of varying dimensions, with limited source antennas and in the presence of noise
Summary
C OMPOSITES are being employed [1], [2] to replace metals due to their high mechanical strength, durability and resistance to corrosion [3], as well as their light-weight flexibility and their capacity for fine-tuning of mechanical properties. Current microwave imaging algorithms are based on singular value decomposition techniques requiring detailed knowledge about background material properties as well as computationally extensive signal processing steps. This combination creates challenges for realtime NDE [20]. A microwave imaging algorithm is developed based on time reversal (TR) for imaging extended defects in dielectric composites [21]. Model-based numerical results indicate that the proposed algorithm can resolve the location and spatial dimensions of different types of defects such as sub-surface voids, oblique cracks and disbonds without complete knowledge about material properties
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