Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Journal of Nondestructive Evaluation
Erschienen in: Journal of Nondestructive Evaluation 2/2022

01.06.2022

Locating Low Velocity Impacts on a Composite Plate Using Multi-Frequency Image Fusion and Artificial Neural Network

verfasst von: Bo Feng, Artur Lopes Ribeiro, Dario J. Pasadas, Helena Geirinhas Ramos

Erschienen in: Journal of Nondestructive Evaluation | Ausgabe 2/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

To find out impact induced defects in a large aerospace structure is quite time consuming due to the large scanning area to be considered. Accurate localization of impacts could narrow the scanning area and improve testing efficiency. In this paper, the multi-frequency characteristic of impact induced guided waves is analyzed. The time of arrival features at various frequencies are extracted from time domain signal by continuous wavelet transform, cross-correlation and Hilbert transform. Two methods, namely image fusion and artificial neural network, are proposed to accomplish the fusion of multi-frequency features. The results show that the mean localization error for the two fusion methods are 4.39 mm and 3.61 mm respectively, the median error for the two methods are 3.56 mm and 3.13 mm.
Vorheriger Artikel In-Situ Surface Roughness Evaluation of Surfaces Machined with EDM by Image Processing
Nächster Artikel Evaluation of Ultrasonic SH-Waveform Tomography for Determining Cover Thickness and Rebar Size in Concrete Structures

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Fukui, H., Yoshimura, A., Matsuzaki, R.: Structural optimization for CFRP cryogenic tank based on energy release rate. Compos. Struct. 152, 883–890 (2016)CrossRef
2.
Katnam, K., Da Silva, L., Young, T.: Bonded repair of composite aircraft structures: A review of scientific challenges and opportunities. Prog. Aerosp. Sci. 61, 26–42 (2013)CrossRef
3.
Mustapha, S., Ye, L., Dong, X., et al.: Evaluation of barely visible indentation damage (BVID) in CF/EP sandwich composites using guided wave signals. Mech. Syst. Signal Process. 76–77, 497–517 (2016)CrossRef
4.
Machado, J.J.M., Nunes, P.D.P., Marques, E.A.S., da Silva, L.F.M.: Adhesive joints using aluminium and CFRP substrates tested at low and high temperatures under quasi-static and impact conditions for the automotive industry. Compos. Pt. B-Eng. 158, 102–116 (2019)CrossRef
5.
Su, Z., Cheng, L., Wang, X., Yu, L., Zhou, C.: Predicting delamination of composite laminates using an imaging approach. Smart Mater. Struct. 18(7), 074002 (2009)CrossRef
6.
Wu D, Chen W, Yang J, Yang F. Self-resonance eddy-current testing method in noncontact detection of carbon fiber reinforced plastics. Composite Structures 2021; 259:113247
7.
Pasadas, D.J., Ramos, H.G., Baskaran, P., Ribeiro, A.L.: ECT in composite materials using double excitation coils and resonant excitation/sensing circuits. Measurement 161, 107859 (2020)CrossRef
8.
Gaudenzi, P., Bernabei, M., Dati, E., et al.: On the evaluation of impact damage on composite materials by comparing different NDI techniques. Compos. Struct. 118, 257–266 (2014)CrossRef
9.
Sadeghi, M.Z., Nienheysen, P., Arslan, S., et al.: Damage detection by double-sided ultrasonic assessment in low-velocity impacted CFRP plates. Compos. Struct. 208, 646–655 (2019)CrossRef
10.
Feng, B., Pasadas, D.J., Ribeiro, A.L., Ramos, H.G.: Locating and imaging impact damage with an integrated system of PZT and eddy current probe. In: Proceedings of International Instrumentation & Measurement Technology Conference, Aukland, New Zealand, May 2019, pp. 1–6.
11.
Tobias, A.: Acoustic-emission source location in two dimensions by an array of three sensors. Non Destr. Test. 9, 9–12 (1976)CrossRef
12.
Kundu, T., Das, S., Martin, S.A., Jata, K.V.: Locating point of impact in anisotropic fiber reinforced composite plates. Ultrasonics 48(3), 193–201 (2008)CrossRef
13.
Ciampa, F., Meo, M.: Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique. Smart Mater. Struct. 19(4), 045027 (2010)CrossRef
14.
Zhu, K., Qing, X.P., Liu, B.: A two-step impact localization method for composite structures with a parameterized laminate model. Compos. Struct. 192, 500–506 (2018)CrossRef
15.
De Simone, M.E., Ciampa, F., Boccardi, S., Meo, M.: Impact source localization in aerospace composite structures. Smart Mater. Struct. 26(12), 125026 (2017)CrossRef
16.
Seno, A.H., Khodaei, Z.S., Ferri Aliabadi, M.H.: Passive sensing method for impact localization in composite plates under simulated environmental and operational conditions. Mech. Syst. Signal Process. 129, 20–36 (2019)CrossRef
17.
Lu, S., Jiang, M., Sui, Q., et al.: Low velocity impact localization system of CFRP using fiber Bragg grating sensors. Opt. Fiber Technol. 21, 13–19 (2015)CrossRef
18.
Kim, J.-H., Kim, Y.-Y., Park, Y., et al.: Low-velocity impact localization in a stiffened composite panel using a normalized cross-correlation method. Smart Mater. Struct. 24, 045036 (2015)CrossRef
19.
Migot, A., Bhuiyan, Y., Giurgiutiu, V.: Impact localization on composite plates using two developed imaging methods. In: Proceedings of SPIE Active and Passive Smart Structures and Integrated Systems, vol. XIV, CA, USA, p. 113760V (2020)
20.
Haider, M.F., Migot, A., Bhuiyan, M.Y., Giurgiutiu, V.: Experimental investigation of impact localization in composite plate using newly developed imaging method. Inventions 3(3), 59 (2018)CrossRef
21.
Migot, A., Giurgiutiu, V.: Impact localization on a composite plate with unknown material properties using PWAS transducers and wavelet transform. In: Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition, Tampa, FL, USA, 3–9 November 2017; pp. 1–8.
22.
23.
James, R., Joseph, R., Giurgiutiu, V.: Impact damage detection in composite plates using acoustic emission signal signature identification. In: Proceedings of SPIE Active and Passive Smart Structures and Integrated Systems, vol. XIV, CA, USA, 2020, p. 113760K.
24.
25.
Qiu, L., Liu, B., Yuan, S., et al.: Impact imaging of aircraft composite structure based on a model-independent spatial-wavenumber filter. Ultrasonics 64, 10–24 (2016)CrossRef
26.
Yuan, S., Bao, Q., Qiu, L., et al.: A single frequency component-based re-estimated MUSIC algorithm for impact localization on complex composite structures. Smart Mater. Struct. 24, 105021 (2015)CrossRef
27.
Sai, Y., Jiang, M., Sui, Q., et al.: Low velocity impact localization system using FBG array and MVDR beamforming algorithm. Photon. Sensors 5(4), 357–364 (2015)CrossRef
28.
29.
Qian, C., Ran, Y., He, J., et al.: Application of artificial neural networks for quantitative damage detection in unidirectional composite structures based on Lamb waves. Adv. Mech. Eng. 12(3), 1–9 (2020)CrossRef
30.
Feng, B., Pasadas, D.J., Ribeiro, A.L., Ramos, H.G.: Locating defects in anisotropic CFRP plates using ToF-based probability matrix and neural networks. IEEE Trans. Instrum. Meas. 68(5), 1252–1260 (2019)CrossRef
31.
Kalafat, S., Sause, M.G.R.: Acoustic emission source localization by artificial neural networks. Struct. Health Monit. 14, 633–647 (2015)CrossRef
32.
Rai, A., Mitra, M.: Lamb wave based damage detection in metallic plates using multi-headed 1-dimensional convolutional neural network. Smart Mater. Struct. 30, 035010 (2021)CrossRef
33.
Su, C., Jiang, M., Lv, S., Lu, S., Zhang, L., Zhang, F., et al.: Improved damage localization and quantification of CFRP using lamb waves and convolution neural network. IEEE Sensors J. 19, 5784–5791 (2019)CrossRef
34.
Goutaudier, D., Gendre, D., Kehr-Candille, V., et al.: Long-range impact localization with a frequency domain triangulation technique: Application to a large aircraft composite panel. Compos. Struct. 238, 111973 (2020)CrossRef
35.
McLaskeya, G.C., Glaser, S.D., et al.: Hertzian impact: Experimental study of the force pulse and resulting stress waves. J. Acoust. Soc. Am. 128(2), 1087–1096 (2010)CrossRef
36.
Metadaten
Titel
Locating Low Velocity Impacts on a Composite Plate Using Multi-Frequency Image Fusion and Artificial Neural Network
verfasst von
Bo Feng
Artur Lopes Ribeiro
Dario J. Pasadas
Helena Geirinhas Ramos
Publikationsdatum
01.06.2022
Verlag
Springer US
Erschienen in
Journal of Nondestructive Evaluation / Ausgabe 2/2022
Print ISSN: 0195-9298
Elektronische ISSN: 1573-4862
DOI
https://doi.org/10.1007/s10921-022-00865-2

Weitere Artikel der Ausgabe 2/2022

Journal of Nondestructive Evaluation 2/2022 Zur Ausgabe

OriginalPaper

Use of Texture-Dependent Ultrasonic Parameter as Indicator of Degradation of Hot-Rolled Thin-Sheet Steel Under Uniaxial Tension

OriginalPaper

Effect of Background Subtraction on Defect Detection in Thermographic Signal Reconstruction Coefficient Images

OriginalPaper

Two-Dimensional Mean Adaptive Zero-Crossing Factor Weighted Ultrasound Plane Wave Imaging

OriginalPaper

Experimental Procedure to Assess Depth and Size of Defects with Pulsed Thermography

OriginalPaper

Simulation-Based Investigation of a Probability of Detection (POD) Model Using Phased Array Ultrasonic Testing (PAUT) Technique

OriginalPaper

Application of Phased Array Ultrasonic Transducers for Guided Wave Scanning of Plates Using Multi-point Focusing Technique

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise