Performance of frequency and/or phase modulated excitation waveforms for optical infrared thermography of CFRPs through thermal wave radar: A simulation study

Abstract Following the developments in pulse compression techniques for increased range resolution and higher signal to noise ratio of radio wave radar systems, the concept of thermal wave radar (TWR) was introduced for enhanced depth resolvability in optical infrared thermography. However, considering the highly dispersive and overly damped behavior of heat wave, it is essential to systematically address both the opportunities and the limitations of the approach. In this regard, this paper is dedicated to a detailed analysis of the performance of TWR in inspection of carbon fiber reinforced polymers (CFRPs) through frequency and/or phase modulation of the excitation waveform. In addition to analogue frequency modulated (sweep) and discrete phase modulated (Barker binary coded) waveforms, a new discrete frequency-phase modulated (FPM) excitation waveform is introduced. All waveforms are formulated based on a central frequency so that their performance can be fairly compared to each other and to lock-in thermography at the same frequency. Depth resolvability of the waveforms, in terms of phase and lag of TWR, is firstly analyzed by an analytical solution to the 1D heat wave problem, and further by 3D finite element analysis which takes into account the anisotropic heat diffusivity of CFRPs, the non-uniform heating induced by the optical source and the measurement noise. The spectrum of the defect-induced phase contrast is calculated and, in view of that, the critical influence of the chosen central frequency and the laminate’s thickness on the performance of TWR is discussed. Various central frequencies are examined and the outstanding performance of TWR at relatively high excitation frequencies is highlighted, particularly when approaching the so-called blind frequency of a defect.

[1]  Yang Wang,et al.  Study on the Detection of CFRP Material with Subsurface Defects Using Barker-Coded Thermal Wave Imaging (BC-TWI) as a Nondestructive Inspection (NDI) Tool , 2018, International Journal of Thermophysics.

[2]  Pietro Burrascano,et al.  The Reactance Transformation for Near Sidelobes Reduction: A Comparison of Windowing Techniques , 2018, 2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD).

[3]  Darryl P Almond,et al.  Long pulse excitation thermographic non-destructive evaluation , 2017 .

[4]  N. Rajic,et al.  Remote line scan thermography for the rapid inspection of composite impact damage , 2019, Composite Structures.

[5]  Ravibabu Mulaveesala,et al.  Pulse compression approach to infrared nondestructive characterization. , 2008, The Review of scientific instruments.

[6]  Rajkumar Roy,et al.  A novel defect depth measurement method based on nonlinear system identification for pulsed thermographic inspection , 2017 .

[7]  C. Maierhofer,et al.  Evaluation of Different Techniques of Active Thermography for Quantification of Artificial Defects in Fiber-Reinforced Composites Using Thermal and Phase Contrast Data Analysis , 2018 .

[8]  Ravibabu Mulaveesala,et al.  Barker coded thermal wave imaging for defect detection in carbon fibre-reinforced plastics , 2011 .

[9]  Hai Zhang,et al.  Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation , 2018, Sensors.

[10]  Tiziana D'Orazio,et al.  Modeling and classification of defects in CFRP laminates by thermal non-destructive testing , 2018 .

[11]  Philippe Hervé,et al.  A comparison between thermosonics and thermography for delamination detection in polymer matrix laminates , 2012 .

[12]  Pietro Burrascano,et al.  Range Sidelobes Reduction for Pulse-Compression NDT based on Reactance Transformation , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

[13]  P Burrascano,et al.  Comparative study between linear and non-linear frequency-modulated pulse-compression thermography. , 2018, Applied optics.

[14]  Zijun Wang,et al.  Image processing based quantitative damage evaluation in composites with long pulse thermography , 2018, NDT & E International.

[15]  W. Paepegem,et al.  On efficient FE simulation of pulse infrared thermography for inspection of CFRPs , 2018 .

[16]  Andreas Mandelis,et al.  Thermal coherence tomography using match filter binary phase coded diffusion waves. , 2011, Physical review letters.

[17]  Ravibabu Mulaveesala,et al.  Pulse Compression with Gaussian Weighted Chirp Modulated Excitation for Infrared Thermal Wave Imaging , 2014 .

[18]  C. Maierhofer,et al.  Characterizing damage in CFRP structures using flash thermography in reflection and transmission configurations , 2014 .

[19]  Andreas Mandelis,et al.  Enhanced truncated-correlation photothermal coherence tomography with application to deep subsurface defect imaging and 3-dimensional reconstructions , 2017 .

[20]  Andreas Mandelis,et al.  Truncated-correlation photothermal coherence tomography for deep subsurface analysis , 2014, Nature Photonics.

[21]  W. Świderski,et al.  Analysis of the possibility of non-destructive testing to detect defects in multi-layered composites reinforced fibers by optical IR thermography , 2019, Composite Structures.

[22]  Bassem Mahafza,et al.  Radar Systems Analysis and Design Using MATLAB , 2000 .

[23]  Giuseppe Silipigni,et al.  Optimization of the pulse-compression technique applied to the infrared thermography nondestructive evaluation , 2017 .

[24]  Jan P. Müller,et al.  Optimizing thermographic testing of thick GFRP plates by assessing the real energy absorbed within the material , 2019, Composite Structures.

[25]  David C. Fleming,et al.  Non-destructive Inspection of Composites Using Step Heating Thermography , 2008 .

[26]  Xavier Maldague,et al.  Pulsed phase thermography reviewed , 2004 .

[27]  Yang Wang,et al.  Investigation of carbon fiber reinforced polymer (CFRP) sheet with subsurface defects inspection using thermal-wave radar imaging (TWRI) based on the multi-transform technique , 2014 .

[28]  S. Tuli,et al.  Theory of frequency modulated thermal wave imaging for nondestructive subsurface defect detection , 2006 .

[29]  Francesco Ciampa,et al.  Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components , 2018, Sensors.

[30]  Waldemar Swiderski,et al.  Non-destructive testing of CFRP by laser excited thermography , 2019, Composite Structures.

[31]  Graeme Nash Preliminary Report on Pulse Compression Waveforms and Their Application to Waveform Agility , 2004 .

[32]  Andreas Mandelis,et al.  Thermal-wave radar: a novel subsurface imaging modality with extended depth-resolution dynamic range. , 2009, The Review of scientific instruments.

[33]  Andreas Mandelis,et al.  Thermophotonic radar imaging: An emissivity-normalized modality with advantages over phase lock-in thermography , 2011 .

[34]  Andreas Mandelis,et al.  Thermal Coherence Tomography: Depth-Resolved Imaging in Parabolic Diffusion-Wave Fields Using the Thermal-Wave Radar , 2012 .

[35]  Suneet Tuli,et al.  A comparison of the pulsed, lock-in and frequency modulated thermography nondestructive evaluation techniques , 2011 .