Optimised dynamic line scan thermographic detection of CFRP inserts using FE updating and POD analysis

Abstract The detection of delaminations in composite laminates using automated thermographic scanning is a quite challenging task. The set-up parameters are not only dependent on the equipment, but on the inspected component as well. In this work, a methodology is discussed to use Finite Element (FE) model updating to automatically establish the most suitable inspection parameters for a given combination of the structure and the investigated delamination depths. The optimised results are compared using binary Probability of Detection analysis and are benchmarked with parameter sets retrieved by an expert using the regular trial & error approach. The results show an improvement of the accuracy and scanning speed which significantly increases as the POD decreases and the complexity of the samples increases.

[1]  Steven M. Shepard,et al.  A composite honeycomb probability of detection (POD) experiment using an uncooled infrared camera for pulsed thermography. , 2006 .

[2]  G. Carlomagno,et al.  The use of infrared thermography for materials characterization , 2004 .

[3]  Joseph DiMambro.  QUANTITATIVE EVALUATION OF EMERGING INFRARED THERMOGRAPHY TECHNOLOGIES FOR AEROSPACE APPLICATIONS , 2008 .

[4]  Xavier Maldague,et al.  Optimization of pulsed thermography inspection by partial least-squares regression , 2014 .

[5]  Bart Ribbens,et al.  Updating a finite element model to the real experimental setup by thermographic measurements and adaptive regression optimization , 2015 .

[6]  Gerd Busse,et al.  Subsurface imaging with photoacoustics , 1980 .

[7]  P J Lindberg.  A prism line-scanner for high-speed thermography. , 1968, Optica acta.

[8]  Linda R. Petzold,et al.  Using Krylov Methods in the Solution of Large-Scale Differential-Algebraic Systems , 1994, SIAM J. Sci. Comput..

[9]  Andrew J. Hodge,et al.  Probability of Detection Study on Impact Damage to Honeycomb Composite Structure using Thermographic Inspection , 2008 .

[10]  Tsutomu Hoshimiya,et al.  Whole-electronic line-focus light-scanner for active thermography , 2014 .

[11]  John E. Mottershead,et al.  Model Updating In Structural Dynamics: A Survey , 1993 .

[12]  B. S. Wong,et al.  Evaluation of defects in composite plates under convective environments using lock-in thermography , 2001 .

[13]  Clemente Ibarra Castanedo,et al.  Quantitative subsurface defect evaluation by pulsed phase thermography: depth retrieval with the phase , 2005 .

[14]  Giovanni Maria Carlomagno,et al.  REVIEW ARICLE: Recent advances in the use of infrared thermography , 2004 .

[15]  Xavier Maldague,et al.  Robust quantitative depth estimation on CFRP samples using active thermography inspection and numerical simulation updating , 2017 .

[16]  Michael Vollmer,et al.  Infrared Thermal Imaging: Fundamentals, Research and Applications , 2010 .

[17]  Xavier Maldague,et al.  Interactive Methodology for Optimized Defect Characterization by Quantitative Pulsed Phase Thermography , 2005 .

[18]  P. Guillaume,et al.  Finite element model updating taking into account the uncertainty on the modal parameters estimates , 2006 .

[19]  Darryl P Almond,et al.  Pulsed thermography:philosophy, qualitative and quantitative analysis on certain aircraft applications , 2006 .

[20]  William P. Winfree,et al.  Thermographic detection and quantitative characterization of corrosion by application of thermal line source , 1999, Smart Structures.

[21]  Joris J.J. Dirckx,et al.  Determining directional emissivity: Numerical estimation and experimental validation by using infrared thermography , 2016 .

[22]  Clemente Ibarra-Castanedo,et al.  ThermoPoD: A reliability study on active infrared thermography for the inspection of composite materials , 2012 .

[23]  Hsien-Chie Cheng,et al.  Thermal placement optimization of multichip modules using a sequential metamodeling-based optimization approach , 2010 .

[24]  Michele Meo,et al.  Damage assessment on plate-like structures using a global-local optimization approach , 2008 .

[25]  Lawrence D. Favro,et al.  Subsurface flaw detection in metals by photoacoustic microscopya , 1980 .

[26]  K. Elliott Cramer,et al.  The thermal photocopier: a new concept for thermal NDT , 2004, SPIE Defense + Commercial Sensing.

[27]  Y. Guo,et al.  COMPARISON OF DETECTION CAPABILITY FOR ACOUSTIC THERMOGRAPHY, VISUAL INSPECTION AND FLUORESCENT PENETRANT INSPECTION ON GAS TURBINE COMPONENTS , 2009 .

[28]  Edward B. Saff,et al.  Fundamentals of Differential Equations and Boundary Value Problems, 6th Edition , 1993 .

[29]  X. Maldague.  Nondestructive Evaluation of Materials by Infrared Thermography , 1993 .

[30]  Gerd Busse,et al.  Nondestructive evaluation of polymer materials , 1994 .

[31]  G. Hendorfer,et al.  Quantitative application of pulse phase thermography to determine material parameters , 2014 .