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Open AccessArticle

Using AE Signals to Investigate the Fracture Process in an Al–Ti Laminate

1
Department of Strength of Materials, Concrete Structures and Bridges, Faculty of Civil Engineering and Architecture, Kielce University of Technology, Al. 1000-lecia PP 7, 25-314 Kielce, Poland
2
Department of Machine Design, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Al. 1000-lecia PP 7, 25-314 Kielce, Poland
*
Author to whom correspondence should be addressed.
Materials 2020, 13(13), 2909; https://doi.org/10.3390/ma13132909
Received: 7 June 2020 / Revised: 25 June 2020 / Accepted: 26 June 2020 / Published: 29 June 2020
(This article belongs to the Special Issue Testing of Materials and Elements in Civil Engineering)
The paper describes tests conducted to identify the mechanisms occurring during the fracture of single-edge notches loaded in three-point bending (SENB) specimens made from an Al–Ti laminate. The experimental tests were complemented with microstructural analyses of the specimens’ fracture surfaces and an in-depth analysis of acoustic emission (AE) signals. The paper presents the application of the AE method to identify fracture processes in the layered Al–Ti composite using a non-hierarchical method for clustering AE signals (k-means) and analyses using waveform time domain, waveform time domain (autocorrelation), fast Fourier transform (FFT Real) and waveform continuous wavelet based on the Morlet wavelet. These analyses made it possible to identify different fracture mechanisms in Al–Ti composites which is very significant to the assessment of the safety of structures made of this material. View Full-Text
Keywords: Al–Ti laminate; fracture; acoustic emission diagnostic; pattern recognition; clustering AE signal Al–Ti laminate; fracture; acoustic emission diagnostic; pattern recognition; clustering AE signal
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MDPI and ACS Style

Świt, G.; Krampikowska, A.; Pała, T.; Lipiec, S.; Dzioba, I. Using AE Signals to Investigate the Fracture Process in an Al–Ti Laminate. Materials 2020, 13, 2909.

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