Next Article in Journal
Iterative Learning for Human Activity Recognition from Wearable Sensor Data
Previous Article in Journal
PHB Production in Biofermentors Assisted through Biosensor Applications
Article Menu
Issue 2 (July) cover image

Article Versions

Export Article

Open AccessAbstract
Proceedings 2017, 1(2), 6; doi:10.3390/ecsa-3-P001

Automatic Detection of Fractures during Tensile Testing Using Vibroacoustic Sensors

1
Institute of Electrodynamics and Microelectronics (ITEM), University of Bremen, Otto-Hahn-Allee, 28359 Bremen, Germany
2
IWT Stiftung Institut für Werkstofftechnik, Paul-Feller-Str. 1, 28199 Bremen, Germany
Presented at the 3rd International Electronic Conference on Sensors and Applications, 15–30 November 2016; Available online: https://sciforum.net/conference/ecsa-3.
*
Author to whom correspondence should be addressed.
Published: 14 November 2016
Download PDF [121 KB, uploaded 26 June 2017]

Abstract

The detection of structure-borne sound can be used to monitor the structural health of solid structures and machine parts. One way to achieve such an implementation is to place vibroacoustic sensors in contact with the structure. The sensors will typically generate an electric signal in response to the acoustic emissions caused by specific events, such as fractures in the structure. In this paper, vibroacoustic sensors were used to detect structure-borne sound during static tensile testing of metallic samples until complete fracture. The samples used were sections of longitudinal beams made of S700 MC steel. Two different types of piezoelectric sensors were used: PVDF film sensors glued to the sample, and ceramic sensors attached to the sample with a magnet adapter. The bandwidth of the signals was expected from previous studies to be of up to 2 MHz. Simultaneously, force and displacement were measured at the testing machine. An algorithm was written to process the data acquired from the piezo elements and automatically detect relevant events via a simple comparison with a pre-defined voltage threshold to detect signals above the background noise level. The comparison of the detected events with the force measurements from the tensile test showed a very strong correlation between actual fractures (both the initial fracture and its posterior propagation) and the automatic classification carried out by the algorithm. Thus, the vibroacoustic sensor could with little calibration substitute the other standard measurement systems.
Keywords: vibroacoustic piezoelectric sensors; tensile test vibroacoustic piezoelectric sensors; tensile test
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pimentel, J.V.; Klemm, R.; Dalgic, M.; Irretier, A.; Krieger, K.-L. Automatic Detection of Fractures during Tensile Testing Using Vibroacoustic Sensors. Proceedings 2017, 1, 6.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top