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Evaluation of SHM System Produced by Additive Manufacturing via Acoustic Emission and Other NDT Methods

Tijdschriftbijdrage - Tijdschriftartikel

During the last decades, structural health monitoring (SHM) systems are used in order to detect damage in structures. We have developed a novel structural health monitoring approach, the so-called “effective structural health monitoring” (eSHM) system. The current SHM system is incorporated into a metallic structure by means of additive manufacturing (AM) and has the possibility to advance life safety and reduce direct operative costs. It operates based on a network of capillaries that are integrated into an AM structure. The internal pressure of the capillaries is continuously monitored by a pressure sensor. When a crack nucleates and reaches the capillary, the internal pressure changes signifying the existence of the flaw. The main objective of this paper is to evaluate the crack detection capacity of the eSHM system and crack location accuracy by means of various non-destructive testing (NDT) techniques. During this study, detailed acoustic emission (AE) analysis was applied in AM materials for the first time in order to investigate if phenomena like the Kaiser effect and waveform parameters used in conventional metals can offer valuable insight into the damage accumulation of the AM structure as well. Liquid penetrant inspection, eddy current and radiography were also used in order to confirm the fatigue damage and indicate the damage location on un-notched four-point bending AM metallic specimens with an integrated eSHM system. It is shown that the eSHM system in combination with NDT can provide correct information on the damage condition of additive manufactured metals.
Tijdschrift: Sensors (Switzerland)
ISSN: 1424-8220
Volume: 15
Pagina's: 26709-26725
Jaar van publicatie:2015
Trefwoorden:acoustic emission, Additive manufacturing, Structural Health Monitoring, liquid penetrant inspection, radiography, eddy currents
  • ORCID: /0000-0002-5228-9307/work/69796516
  • WoS Id: 000364242300102
  • Scopus Id: 84948144458
CSS-citation score:1