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Article

Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing

1
Department of Mechanical and Aerospace Engineering, Royal Military College of Canada, Kingston, ON K7K 7B4, Canada
2
Department of Physics, Royal Military College of Canada, Kingston, ON K7K 7B4, Canada
3
Faculty of Engineering and Computer Science, Concordia University, Montreal, QC H3G 1M8, Canada
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(9), 2114; https://doi.org/10.3390/s17092114
Submission received: 22 August 2017 / Revised: 8 September 2017 / Accepted: 12 September 2017 / Published: 14 September 2017
(This article belongs to the Section Physical Sensors)

Abstract

:
Surface damage on honeycomb aircraft panels is often measured manually, and is therefore subject to variation based on inspection personnel. Eddy current testing (ECT) is sensitive to variations in probe-to-specimen spacing, or lift-off, and is thus promising for high-resolution profiling of surface damage on aluminum panels. Lower frequency testing also allows inspection through the face sheet, an advantage over optical 3D scanning methods. This paper presents results from the ECT inspection of surface damage on an approximately flat aluminum honeycomb aircraft panel, and compares the measurements to those taken using optical 3D scanning technology. An ECT C-Scan of the dented panel surface was obtained by attaching the probe to a robotic scanning apparatus. Data was taken simultaneously at four frequencies of 25, 100, 400 and 1600 kHz. A reference surface was then defined that approximated the original, undamaged panel surface, which also compensated for the effects of specimen tilt and thermal drift within the ECT instrument. Data was converted to lift-off using height calibration curves developed for each probe frequency. A damage region of 22,550 mm2 area with dents ranging in depth from 0.13–1.01 mm was analyzed. The method was accurate at 1600 kHz to within 0.05 mm (2σ) when compared with 231 measurements taken via optical 3D scanning. Testing at 25 kHz revealed a 3.2 mm cell size within the honeycomb core, which was confirmed via destructive evaluation. As a result, ECT demonstrates potential for implementation as a method for rapid in-field aircraft panel surface damage assessment.

Graphical Abstract

1. Introduction

Impact damage in all-aluminum honeycomb sandwich structures, such as wing surfaces and internal floorboards, may produce permanent denting of the aluminum skin accompanied by a buckled honeycomb core that often remains bonded to the skin [1]. Both the dent and core damage produced by an impact affect the residual strength of a panel and, therefore, may compromise the structural integrity of the component, potentially leading to its failure [2]. Characterization of dent depth and the area of dent in aircraft support structures is a key element used in the determination of remaining panel lifetime. Methods of evaluating damage in aluminum honeycomb sandwich structures have included X-ray and optical shearography [3]. Portable methods for the assessment of honeycomb panel denting damage have involved dial or digital depth gauge [4,5,6,7,8,9,10,11], a ruler, or, in some cases, a high-resolution electronic indicator [12,13]. However, a disadvantage of these methods is that measurements are subject to interpretation and variation based on inspection personnel. Manual measurements may also require repetition to confirm observations. Creaform Inc. is developing and marketing a portable optical 3D scanning system for the assessment of hail damage on in-service aircraft. However, this technique does not offer the added benefit of inspecting core geometries in these panels. For the panel considered in this study, dents corresponding with barely visible impact damage (BVID) were of interest, which are typically the result of low-velocity impact.
Eddy current testing (ECT) is commonly used for the detection of surface breaking flaws in conductive materials [14]. Applications of ECT for flaw detection include piping and heat exchanger inspection of nuclear power plants [15,16,17]. For these applications, it offers advantages such as high sensitivity, rapid scanning, and flexibility [14]. ECT is also used to evaluate defects in various other environments and configurations [14]. These include flaws in steam generator tubes [18,19,20,21,22,23], fatigue cracks [24,25,26], corrosion [27,28,29,30,31,32,33], material microstructure near welds [34], and the estimation of pearlite percentages in plain carbon steel [35,36] and in cast iron [37]. High-density eddy current C-Scan data has also been used for the analysis of bolt hole eddy current [38] and estimation of micro-crack lengths [39]. For sub-millimetre applications, an array probe has been used for the imaging of surface-breaking defects in the bore holes of metallic parts [40]. The effectiveness and reliability of ECT for the detection of surface-breaking cracks in cast stainless steel reactor components has also been studied [41].
ECT has been applied to measure probe-to-specimen spacing, known as lift-off. Applications like paint and metal deposition thickness measurement are well known [42]. However, the potential for surface profiling is not as well recognized. In one case, eddy current probe output was combined with high-density C-Scan data to extract information regarding local deformations and wear on the inner surfaces of pressure tubes [43]. This application produced topographic images of a specimen; however, the study did not calibrate lift-off response and, therefore, did not quantify the size of features in the pipe. The extraction of surface damage measurements via ECT represents an attractive alternative to traditional depth gauge methods, since it can substantially reduce inspection time, store data for further analysis and retrieval, and makes use of technology and trained personnel that are already part of the aircraft maintenance program.
This study investigated the feasibility of using eddy current testing, combined with high-density C-Scan information, as a method of evaluating surface damage due to denting on aluminum honeycomb sandwich aircraft panels. An ECT pencil probe was retrofitted to a servo controlled C-Scan apparatus and probe output was calibrated to lift-off (mm). Measurements were compared to those taken on the same panel using an optical 3D scanning method [44], as well as with identifications made by inspection personnel as shown on the panel in Figure 1.

2. Materials and Methods

Surface damage was quantified on a retired honeycomb sandwich panel that had been used in a military helicopter. This panel had properties as listed in Table 1.
A Nortec pencil probe, Z-145-P, which was attached via lever clamp to the C-Scan apparatus, was used to perform the ECT measurements. Prior to scanning, the panel was aligned with the scanning apparatus using alignment blocks placed at both ends of the panel to ensure equidistance from the scanning apparatus. Scanning was performed over a 205 mm × 110 mm damage region (Figure 1), which contained approximately 14 dent impressions, with depths ranging from 0.13–1.01 mm as measured via optical 3D scanning. Optical 3D scanning was performed using a FARO ScanArm® measurement system mounted to a lab workstation with single-point repeatability of 0.024–0.064 mm. Subsequent analysis of the 3D scan data was performed using Geomagic Design X software (3D Systems, Rock Hill, SC, USA).
Eddy current signals were generated and received via an Olympus NDT MultiScan MS5800 eddy current instrument (Olympus, Quebec, QC, Canada). This instrument was used to perform input and output signal quadrature, displayed as Lissajous plots on an impedance plane as part of the data processing method, as well as handle the complex (real and imaginary) voltage input and output for the system. The operating frequencies for the probe were 25, 100, 400 and 1600 kHz.
TecView software (TecScan, Boucherville, QC, Canada) was used to control the automated scanning apparatus. This included defining the (X, Y) coordinate axes of the damage region for the C-scan, as well as specifying the path of the probe during the scanning process. Figure 1 shows the setup of the C-Scan apparatus, with reference to the probe and aircraft panel. The sampling interval of the C-Scan was set to 1 mm, which yielded 22,550 separate measurements. The raw output data was converted to lift-off (Z-axis) using height calibration curves developed prior to scanning.
The ECT acquisition software used in conjunction with the MS5800 eddy current instrument was MultiView 6.1 (Olympus, Quebec, QC, Canada). Probe setting specification and control were performed within MultiView; namely, starting and stopping probe input, and presenting output data from the probe in real-time (strip chart display). Balancing of the probe was likewise conducted in MultiView with the probe located at an undented point on the panel surface. Nulling at this location meant that the change in signal observed when moving over a dent impression could be interpreted as lift-off. In addition, the output signal (or locus), the response to lift-off, was aligned in MultiView display software such that the lift-off component of the signals was aligned with the Y-axis of the C-Scan output.
The operating frequencies and voltage of the probe were selected such that signal saturation was not observed and eddy currents would not penetrate deeper than the 0.5 mm thickness of the upper Al skin layer at the highest frequency of 1600 kHz. For the given specimen, through-thickness penetration would skew and complicate the surface profiling results based on the complex interior of the honeycomb sandwich panel, which included adhesive and crushed aluminum honeycomb core. However, testing at lower frequencies, including 25 kHz, offered the added potential of inspecting the core geometry of the panel. Using relative permeability µr = 1 and electrical conductivity σ = 32% IACS = 1.89 × 107 S/m for Al 7075-T6 [45], theoretical depths of penetration were calculated at the four testing frequencies using Equation (1) from [45] as tabulated in Table 2.
Depth of Penetration, δ = 1/√(πfμσ),
A calibration test was performed prior to the C-Scan process, which produced curves for converting the probe output data to lift-off (mm) at the four frequencies, simultaneously. Note that only the 1600 kHz signal gave a penetration, 3δ that was less than the face sheet thickness (3δ = 0.27 mm, which was smaller than the 0.5 mm face sheet thickness). The lower frequency results with 3δ being larger than the thickness of the face sheet may be invalid due to sensing of face sheet thickness variations or honeycomb structure beneath the face sheet. This test was performed in the same location as the probe balance point within the damage region. Data was extracted at a 0.1 mm resolution over a lift-off range of 3.2 mm (Z-axis) starting from contact. This produced 33 data points, as shown in Figure 2, which were linearly interpolated to produce the calibration curves.
It was necessary to define a new reference surface for the eddy current lift-off measurements at each frequency, which approximated the original, undamaged surface of the panel. This is because the 2D C-Scan plane did not exactly match the plane of the aircraft panel, which demonstrated some curvature. The new reference surface for each frequency was thus three-dimensional in nature, defined using Equation (2), where Z(x,y) and Z′(x,y) represent the original and adjusted eddy current measurements, respectively. The values of A, B, C and D were chosen to minimize the residual sum square (RSS) difference between the reference surface and the adjusted eddy current measurements at the edges of the damage region.
Z′(x,y) = (Z(x,y) − (AX + BY + CXY + D),
To validate the eddy current results, an 11 × 21 grid of measurement points with 10-mm spacing was exported from the optical 3D scanning software to compare with the corresponding eddy current measurements made within the damage region. This grid of comparison points was specified as shown in Figure 3 within the 3D scanning software.

3. Results

The process of defining a reference surface for the eddy current measurements yielded coefficient values for Equation (2) as shown in Table 3 for each frequency.
Figure 4 shows a visual comparison of the surface contour plots developed for the eddy current measurements at each frequency.
Figure 5 shows a comparison between a photograph of the damaged panel surface with demarcated dent regions, the 3D scanning results, and a contour map of the 1600 kHz eddy current measurements. Note the comparatively higher resolution obtained from the 1 mm × 1 mm sampling grid of the ECT C-Scan.
Error was evaluated to two standard deviations between the eddy current results, at each frequency, and optical 3D scanning measurements at 231 points, as tabulated in Table 4. Maximum absolute difference reported the maximum difference calculated between the ECT and 3D scanning results. A depth (ECT) versus depth (3D scanning) plot was developed, as shown in Figure 6, for the 1600 kHz data, where the line represents the ideal case of the ECT results being equal to the 3D scanning results.

4. Discussion

Of the four frequencies, the 1600 kHz results were the most accurate in terms of surface profiling capability, matching the maximum dent depth (1.01 mm) identified within the damage region, while also yielding the lowest error to two standard deviations (0.05 mm) and maximum absolute difference (0.14 mm) compared with the 231 optical 3D scanning measurements.
The ECT results also demonstrated potential for improved capability for dent characterization compared with visual methods. This was seen within the portion of the damage region shown in Figure 7, where the contour map of the eddy current measurement results varied from the identifications made by visual inspection personnel. This is valuable for accurately measuring dent lengths and areas, which are target parameters of aircraft panel surface inspections. These parameters may also be evaluated using the described ECT method by performing image processing of the contour maps obtained from the ECT measurement results.
Compared with other surface damage inspection methods like optical 3D scanning, multi-frequency eddy current testing offers the additional benefit of internal inspection capability for aluminum honeycomb sandwich panels. This includes identification of variable thickness regions and evaluation of honeycomb core geometries. For instance, the eddy current measurements compiled at 25 and 100 kHz revealed a second layer of aluminum beneath the top face sheet at the top of the damage region. This was confirmed by cutting the panel, which revealed the second layer as shown in Figure 8.
Plotting the low 25 kHz frequency results likewise allowed characterization of the hexagonal cell geometries located beneath the top face sheet, shown in Figure 9. Measurement of the contours confirmed the honeycomb core cell size as 3.2 mm, which was performed using image processing. Here, the hexagonal cell shapes were identified based on contouring, and the scale of the image was defined by the known perimeter dimensions of the damage region. The measured 3.2-mm cell size agreed with destructive examination as shown in Figure 10. Linear contour plotting of the 25 kHz results also enabled investigation of the core as shown in Figure 11 at a step size of 0.0015 mm compared to the same region observed visually.
There is potential for in-field implementation of this method using portable eddy current technologies. These would likely involve scanning of aircraft surfaces with a handheld eddy current array system combined with encoder information. For the evaluation of entire panel surfaces, it is assumed that the described ECT method would decrease inspection time due to automated extraction and compilation of damage geometry information, and would enhance the reliability of the measurements. Greater measurement density may also be achieved using ECT compared to the 3D scanning method, where it was observed that the output capability of the ECT method (22,550 measurements) was two magnitudes higher than that achievable using the 3D scanning software, but this may be a limitation of the particular 3D scanning software that was implemented.

5. Conclusions

ECT was investigated as a method of surface profiling for an all-aluminum honeycomb sandwich aircraft panel. Comparison of the method at 1600 kHz with 231 optical 3D scanning measurements demonstrated that the eddy current results were accurate to within 0.052 mm (two standard deviations). Lower frequency testing at 25 kHz also proved feasible for the evaluation of internal core geometries. ECT-based methods hold the potential for rapid and reliable means of measuring dent depths, lengths and areas. As a result, this novel technique has the potential to provide timely extraction of surface damage measurements for on-site component examination.

Acknowledgments

Aerospace Research Advisory Committee (AERAC), Director Technical Airworthiness and Engineering Support (DTAES).

Author Contributions

T. Reyno, P.R. Underhill, T.W. Krause, C. Marsden and D. Wowk conceived and designed the experiments; T. Reyno and P.R. Underhill performed the experiments; T. Reyno and P.R. Underhill analyzed the data; T. W. Krause, C. Marsden and D. Wowk contributed reagents, materials and analysis tools; T. Reyno, P.R. Underhill and T. W. Krause wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hsu, D.K. Nondestructive Evaluation of Sandwich Structures: A Review of Some Inspection Techniques. J. Sandw. Struct. Mater. 2009, 11, 276–291. [Google Scholar] [CrossRef]
  2. Eisenberg, D. Evaluation of Quasi-Static Indentation Damage in Aluminum Honeycomb Core-Graphite/Epoxy Sandwich Structures; Honors Program Capstone Project; Syracuse University: Syracuse, NY, USA, 2010. [Google Scholar]
  3. Kalms, M.; Jueptner, W. A Mobile Shearography System for Non-Destructive Testing of Industrial and Artwork Components. Key Eng. Mater. 2005, 165–170. [Google Scholar] [CrossRef]
  4. Shipsha, A.; Zenkert, D. Compression-after-Impact Strength of Sandwich Panels with Core Crushing Damage. Appl. Compos. Mater. 2005, 12, 149–164. [Google Scholar] [CrossRef]
  5. Edgren, F.; Asp, L.E.; Bull, P.H. Compressive Failure of Impacted NCF Composite Sandwich Panels-Characterisation of the Failure Process. J. Compos. Mater. 2004, 38, 495–514. [Google Scholar] [CrossRef]
  6. Zenkert, D.; Shipsha, A.; Bull, P.; Hayman, B. Damage Tolerance Assessment of Composite Sandwich Panels with Localised Damage. Compos. Sci. Technol. 2005, 65, 2597–2611. [Google Scholar] [CrossRef]
  7. Shi, M.; Brindza, J.; Michel, P.; Bucklin, P.; Belanger, P.J.; Prencipe, J.M. Static and Dynamic Dent Resistance Performance of Automotive Steel Body Panels. SAE Tech. Pap. Ser. 1997. [Google Scholar] [CrossRef]
  8. Ekstrand, G.; Asnafi, N. On Testing of the Stiffness and the Dent Resistance of Autobody Panels. Mater. Des. 1998, 19, 145–156. [Google Scholar] [CrossRef]
  9. Asnafi, N. On Strength, Stiffness and Dent Resistance of Car Body Panels. J. Mater. Process. Technol. 1995, 49, 13–31. [Google Scholar] [CrossRef]
  10. Asnafi, N.; Langstedt, G.; Andersson, C.; Östergren, N; Håkansson, T. A New Lightweight Metal-Composite-Metal Panel for Applications in the Automotive and Other Industries. Thin-Walled Struct. 2000, 36, 289–310. [Google Scholar] [CrossRef]
  11. Laliberté, J.; Straznicky, P.; Poon, C. Impact Damage in Fiber Metal Laminates, Part 1: Experiment. AIAA J. 2005, 43, 2445–2453. [Google Scholar] [CrossRef]
  12. Raju, K.; Smith, B.; Tomblin, J.; Liew, K.; Guarddon, J. Impact Damage Resistance and Tolerance of Honeycomb Core Sandwich Panels. J. Compos. Mater. 2008, 42, 385–412. [Google Scholar] [CrossRef]
  13. Růžek, R.; Lohonka, R.; Jironč, J. Ultrasonic C-Scan and Shearography NDI Techniques Evaluation of Impact Defects Identification. NDT E Int. 2006, 39, 132–142. [Google Scholar] [CrossRef]
  14. Ghoni, R.; Dollah, M.; Sulaiman, A.; Ibrahim, F. Defect Characterization Based on Eddy Current Technique: Technical Review. Adv. Mech. Eng. 2014, 6, 182496. [Google Scholar] [CrossRef]
  15. Diaz, A.A.; Mathews, R.A. Assessment of Eddy Current Testing for the Detection of Cracks in Cast Stainless Steel Reactor Piping Components. Pacific Northwest National Laboratory 2007. Available online: https://www.nrc.gov/reading-rm/doc-collections/nuregs/contract/cr6929/#pub-info (accessed on 15 August 2017).
  16. Grman, J.; Syrova, L. Classifiability analysis of indications by eddy-current testing of nuclear power plant heat-exchanger tube. In Proceedings of the 2009 19th International Conference Radioelektronika, RADIOELEKTRONIKA ’09, Bratislava, Slovakia, 22–23 April 2009; pp. 287–290. [Google Scholar]
  17. Tian, S.; Chen, Z.; Ueda, M.; Yamashita, T. Signal processing schemes for Eddy Current Testing of steam generator tubes of nuclear power plants. Nucl. Eng. Des. 2012, 245, 78–88. [Google Scholar] [CrossRef]
  18. Siegel, J. Detecting SG Tube Cracks in Difficult Places. Nucl. Eng. Int. 1996, 41, 18–19. [Google Scholar]
  19. Hur, D.; Choi, M.; Lee, D.; Kim, S.; Han, J. A Case Study on Detection and Sizing of Defects in Steam Generator Tubes Using Eddy Current Testing. Nucl. Eng. Des. 2010, 240, 204–208. [Google Scholar] [CrossRef]
  20. Xin, J.; Lei, N.; Udpa, L.; Udpa, S. Rotating Field Eddy Current Probe with Bobbin Pickup Coil for Steam Generator Tubes Inspection. NDT E Int. 2013, 54, 45–55. [Google Scholar] [CrossRef]
  21. Li, Y.; Udpa, L.; Udpa, S. Three-Dimensional Defect Reconstruction from Eddy-Current NDE Signals Using a Genetic Local Search Algorithm. IEEE Trans. Magn. 2004, 40, 410–417. [Google Scholar] [CrossRef]
  22. Kim, Y.; Lee, S. Eddy Current Probes of Inclined Coils for Increased Detectability of Circumferential Cracks in Tubing. NDT E Int. 2012, 49, 77–82. [Google Scholar] [CrossRef]
  23. Todorov, E. Measurement of Electromagnetic Properties of Heat Exchanger Tubes with Model-Based Eddy Current Technique. NDT E Int. 2012, 48, 70–76. [Google Scholar] [CrossRef]
  24. Underhill, P.R.; Krause, T.W. Eddy Current Analysis of Mid-Bore and Corner Cracks in Bolt Holes. NDT E Int. 2011, 44, 513–518. [Google Scholar] [CrossRef]
  25. Abidin, I.; Mandache, C.; Tian, G.; Morozov, M. Pulsed Eddy Current Testing With Variable Duty Cycle on Rivet Joints. NDT E Int. 2009, 42, 599–605. [Google Scholar] [CrossRef]
  26. Babbar, V.; Underhill, P.; Stott, C.; Krause, T. Finite Element Modeling of Second Layer Crack Detection in Aircraft Bolt Holes with Ferrous Fasteners Present. NDT E Int. 2014, 65, 64–71. [Google Scholar] [CrossRef]
  27. Yusa, N.; Perrin, S.; Mizuno, K.; Miya, K. Numerical Modeling of General Cracks from the Viewpoint of Eddy Current Simulations. NDT E Int. 2007, 40, 577–583. [Google Scholar] [CrossRef]
  28. Yusa, N.; Chen, Z.; Miya, K. Sizing of Stress Corrosion Cracking on Austenitic Stainless Piping in a Nuclear Power Plant From Eddy Current NDT Signals. Nondestruct. Test. Eval. 2005, 20, 103–114. [Google Scholar] [CrossRef]
  29. Yusa, N.; Chen, Z.; Miya, K.; Uchimoto, T.; Takagi, T. Large-Scale Parallel Computation for the Reconstruction of Natural Stress Corrosion Cracks from Eddy Current Testing Signals. NDT E Int. 2003, 36, 449–459. [Google Scholar] [CrossRef]
  30. Miya, K.; Aoto, K.; Chen, Z. Reconstruction of Cracks with Physical Closure from Signals of Eddy Current Testing. IEEE Trans. Magn. 2000, 36, 1018–1022. [Google Scholar] [CrossRef]
  31. Yusa, N.; Huang, H.; Miya, K. Numerical Evaluation of the Ill-Posedness if Eddy Current Problems to Size Real Cracks. NDT E Int. 2007, 40, 185–191. [Google Scholar] [CrossRef]
  32. Yusa, N.; Miya, K. Discussion on the Equivalent Conductivity and Resistance of Stress Corrosion Cracks in Eddy Current Simulations. NDT E Int. 2009, 42, 9–15. [Google Scholar] [CrossRef]
  33. Ramos, H.; Rocha, T.; Král, J.; Pasadas, D.; Ribeiro, A. An SVM Approach with Electromagnetic Methods to Assess Metal Plate Thickness. Measurement 2014, 54, 201–206. [Google Scholar] [CrossRef]
  34. Zergoug, M.; Lebaili, S.; Boudjellal, H.; Benchaala, A. Relation between Mechanical Microhardness and Impedance Variations in Eddy Current Testing. NDT E Int. 2004, 37, 65–72. [Google Scholar] [CrossRef]
  35. Khan, S.; Ali, F.; Khan, A.; Iqbal, M. Pearlite Determination in Plain Carbon Steel by Eddy Current Method. J. Mater. Process. Technol. 2008, 200, 316–318. [Google Scholar] [CrossRef]
  36. Konoplyuk, S. Estimation of Pearlite Fraction in Ductile Cast Irons by Eddy Current Method. NDT E Int. 2010, 43, 360–364. [Google Scholar] [CrossRef]
  37. Ghanei, S.; Kashefi, M.; Mazinani, M. Eddy Current Nondestructive Evaluation of Dual Phase Steel. Mater. Des. 2013, 50, 491–496. [Google Scholar] [CrossRef]
  38. Underhill, P.R.; Krause, T.W. Enhancing Probability of Detection and Analysis of Bolt Hole Eddy Current. J. Nondestruct. Eval. 2011, 30, 237–245. [Google Scholar] [CrossRef]
  39. Bodruzzaman, M.; Zein-Sabatto, S. Estimation of Micro-Crack Lengths Using Eddy-Current C-Scan and Neural-Wavelet Transform. In Proceedings of the 2008 IEEE Southeastcon, Huntsville, AL, USA, 3–8 April 2008; pp. 551–556. [Google Scholar]
  40. Joubert, P.; Vourc’h, E.; Thomas, V. Experimental Validation of an Eddy Current Probe Dedicated to the Multi-Frequency Imaging of Bore Holes. Sens. Actuators A Phys. 2012, 185, 132–138. [Google Scholar] [CrossRef]
  41. Beamand, J.H. Multiprobe Multiplexed Eddy Current System for the Detection of Stress Corrosion Cracking in Stainless Steel Tube. In Proceedings of the 4th European Conference, Non-Destructive Testing, London, UK, 13–17 September 1987; pp. 2632–2636. [Google Scholar]
  42. ASM Handbook Volume. 17: Nondestructive Evaluation and Quality Control; ASM International: Novelty, OH, USA, 1989; pp. 154–196.
  43. Shokralla, S.; Krause, T.; Morelli, J. Surface Profiling with High Density Eddy Current Non-Destructive Examination Data. NDT E Int. 2014, 62, 153–159. [Google Scholar] [CrossRef]
  44. Reyno, T. Optical 3D Scanning, Eddy Current Testing, and Destructive Methods for Assessing Surface and Core Damage in Honeycomb Sandwich Aircraft Panels. Master’s Thesis, Royal Military College of Canada, Kingston, ON, Canada, 2017. [Google Scholar]
  45. Cecco, V.; Van Drunen, G.; Sharp, F. Eddy Current Manual Volume 1: Test Method; Chalk River: Renfrew County, ON, Canada, 1981. [Google Scholar]
Figure 1. Experimental setup with outlined visual inspection results of sample.
Figure 1. Experimental setup with outlined visual inspection results of sample.
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Figure 2. Eddy current testing (ECT) calibration curves at various frequencies; probe output vs. lift-off (mm).
Figure 2. Eddy current testing (ECT) calibration curves at various frequencies; probe output vs. lift-off (mm).
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Figure 3. 11 × 21 grid of comparison points for damage region as evaluated within 3D scanning software; blue patterned background is 3D scan point cloud data.
Figure 3. 11 × 21 grid of comparison points for damage region as evaluated within 3D scanning software; blue patterned background is 3D scan point cloud data.
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Figure 4. Four frequency comparison.
Figure 4. Four frequency comparison.
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Figure 5. Damage region (top); 3D scanning deviation map (middle); 1600 kHz ECT contour map (bottom).
Figure 5. Damage region (top); 3D scanning deviation map (middle); 1600 kHz ECT contour map (bottom).
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Figure 6. Dent depth (ECT) vs. dent depth (3D scanning method).
Figure 6. Dent depth (ECT) vs. dent depth (3D scanning method).
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Figure 7. Dent identification comparison; inspection personnel (left) vs. ECT method (right).
Figure 7. Dent identification comparison; inspection personnel (left) vs. ECT method (right).
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Figure 8. Second layer of aluminum identified under top face sheet near top of damage region close to panel flange.
Figure 8. Second layer of aluminum identified under top face sheet near top of damage region close to panel flange.
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Figure 9. ECT core evaluation with identified cell geometries (25 kHz).
Figure 9. ECT core evaluation with identified cell geometries (25 kHz).
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Figure 10. Honeycomb core cell geometry obtained from destructive examination. Demarcations at top of figure are half mm intervals.
Figure 10. Honeycomb core cell geometry obtained from destructive examination. Demarcations at top of figure are half mm intervals.
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Figure 11. ECT core evaluation; panel surface (top) and ECT results plotted at 0.0015 mm contour step size (bottom) (25 kHz).
Figure 11. ECT core evaluation; panel surface (top) and ECT results plotted at 0.0015 mm contour step size (bottom) (25 kHz).
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Table 1. Panel specifications.
Table 1. Panel specifications.
PropertySpecification
Top face sheet materialAl 7075-T6
Core materialAl 5052
Bottom face sheet materialEpoxy/fiberglass
AdhesiveHeat-resistant epoxy Hysol® EA 934NA
Total panel thickness12.7 mm (0.50″)
Top face sheet thickness0.51 mm (0.020″)
Core thickness11.7 mm (0.46″)
Cell size3.2 mm (0.125″)
Cell wall thickness0.025 mm (0.001″)
Table 2. Depth of penetration analysis.
Table 2. Depth of penetration analysis.
Frequency (kHz)Theoretical Depth of Penetration, δ (mm)% Penetration (3δ) into Exposed Face Sheet Thickness
250.7400
1000.4200
4000.2100
16000.150
Table 3. Equation (2) coefficient values. Residual sum square (RSS).
Table 3. Equation (2) coefficient values. Residual sum square (RSS).
Frequency (kHz)Coefficient, Equation (2)Resultant RSS Difference
ABCD
25−0.180.380.0011−0.190.0029
100−0.230.0690.00140.160.0065
400−0.24−0.130.00150.300.056
1600−0.22−0.100.00130.280.042
Table 4. Error analysis.
Table 4. Error analysis.
Frequency (kHz)Error (Two Standard Deviations) (mm)Maximum Absolute Difference (mm)
250.2400.40
1000.0690.16
4000.0560.15
16000.0520.14

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MDPI and ACS Style

Reyno, T.; Underhill, P.R.; Krause, T.W.; Marsden, C.; Wowk, D. Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing. Sensors 2017, 17, 2114. https://doi.org/10.3390/s17092114

AMA Style

Reyno T, Underhill PR, Krause TW, Marsden C, Wowk D. Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing. Sensors. 2017; 17(9):2114. https://doi.org/10.3390/s17092114

Chicago/Turabian Style

Reyno, Tyler, P. Ross Underhill, Thomas W. Krause, Catharine Marsden, and Diane Wowk. 2017. "Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing" Sensors 17, no. 9: 2114. https://doi.org/10.3390/s17092114

APA Style

Reyno, T., Underhill, P. R., Krause, T. W., Marsden, C., & Wowk, D. (2017). Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing. Sensors, 17(9), 2114. https://doi.org/10.3390/s17092114

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