THz imaging technique for nondestructive analysis of debonding defects in ceramic matrix composites based on multiple echoes and feature fusion.

We propose a THz nondestructive analysis method based on multiple echoes and feature fusion. Conventionally, it is difficult to identify the debonding defects of the glue layer (II) due to the thin adhesive layer. To this end, a THz propagation model is established, and a quantitative method for determining the thickness of debonding defects based on multiple echoes is presented. The measurement error for preset defect thickness of 500 µm was 4%. Further, for determining the area of debonding defects, a feature fusion imaging algorithm is proposed to realize the lateral recognition of defects and quantitative analysis is used to improve the recognition ability of defects.

[1]  J. Coutaz,et al.  A reliable method for extraction of material parameters in terahertz time-domain spectroscopy , 1996 .

[2]  R. Naslain.  Design, preparation and properties of non-oxide CMCs for application in engines and nuclear reactors: an overview , 2004 .

[3]  Stephan Schmidt,et al.  Advanced ceramic matrix composite materials for current and future propulsion technology applications , 2004 .

[4]  Krzysztof Wilde,et al.  Application of continuous wavelet transform in vibration based damage detection method for beams and plates , 2006 .

[5]  Robert A. Frazor,et al.  Local luminance and contrast in natural images , 2006, Vision Research.

[6]  Eric I. Madaras,et al.  Terahertz NDE application for corrosion detection and evaluation under shuttle tiles , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[7]  P. Klinkhachorn,et al.  Detection of subsurface defects in fiber reinforced polymer composite bridge decks using digital infrared thermography , 2007 .

[8]  Maik A Scheller,et al.  Fast and Accurate Thickness Determination of Unknown Materials using Terahertz Time Domain Spectroscopy , 2009 .

[9]  K. Kawase,et al.  High-resolution time-of-flight terahertz tomography using a femtosecond fiber laser. , 2009, Optics express.

[10]  Christopher D. Stoik,et al.  Nondestructive evaluation of aircraft composites using reflective terahertz time domain spectroscopy , 2010 .

[11]  C. Coddet,et al.  Surface treatment effects on ceramic matrix composites: Case of a thermal sprayed alumina coating on SiC composites , 2010 .

[12]  K. Kawase,et al.  THz imaging techniques for nondestructive inspections , 2010 .

[13]  A. Harland,et al.  Experimental and Numerical Analysis of Damage in Woven GFRP Composites Under Large-deflection Bending , 2012, Applied Composite Materials.

[14]  A. Locquet,et al.  Nondestructive evaluation of forced delamination in glass fiber-reinforced composites by terahertz and ultrasonic waves , 2015 .

[15]  Lijuan Li,et al.  The coating curing properties study using terahertz time domain spectroscopy , 2015, Applied Optics and Photonics China.

[16]  Jiaojiao Ren,et al.  Study on intelligent recognition detection technology of debond defects for ceramic matrix composites based on terahertz time domain spectroscopy. , 2016, Applied optics.

[17]  J. Lincoln,et al.  Oxide‐Oxide Ceramic Matrix Composites ‐ Enabling Widespread Industry Adoption , 2017 .

[18]  Kejia Wang,et al.  Improved terahertz nondestructive detection of debonds locating in layered structures based on wavelet transform , 2017 .

[19]  F. Xu,et al.  4848 Nondestructive Evaluation of Rubber Composites Using Terahertz Time Domain Spectroscopy , 2018 .

[20]  C. Cherif,et al.  New Image Analysis Method for Determination of the Inter-Fibre Pore Size Intensity of Polyester Woven Barrier Fabrics , 2018, Fibres and Textiles in Eastern Europe.

[21]  R. Burger,et al.  Application of terahertz time domain spectroscopy for NDT of oxide-oxide ceramic matrix composites , 2019, Infrared Physics & Technology.

[22]  H. Cui,et al.  Nondestructive evaluation of glass fiber honeycomb sandwich panels using reflective terahertz imaging , 2019 .