Povzetek

The recent advances in additive manufacturing technology allow the realization of single-process thermoplastic material extrusion (TME) 3D-printed embedded sensors, leading to the easy and inexpensive production of smart structures. While single-process TME dynamic strain sensors have already been researched, vibration durability self-awareness is more than just an additional 3D printed strain sensor and several questions need to be answered. Is the durability self-aware sensors position structure-specific? Is the fatigue life of the sensory element longer than the base structure? Does the fatigue influence the self-awareness capability? Those and several other questions are theoretically and experimentally addressed in this research. Two different fatigue identification methods are researched (i.e. the peak-response and the frequency-drop methods). It was found that the vibration durability self-aware structure printed in a single process is viable and the frequency-drop based method gives reliable fatigue estimation; the fatigue damage was correctly identified even in the case the sensory element was 3D printed in the fatigue zone and already significantly damaged. This research opens up new capabilities for self-aware TME 3D-printed structures.

Ključne besede

additive manufacturing;thermoplastic material extrusion;vibration fatigue;smart structures;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 004.925.84:621.79
COBISS: 76843523 Povezava se bo odprla v novem oknu
ISSN: 2214-8604
Št. ogledov: 187
Št. prenosov: 20
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: dodajalne tehnologije;ekstruzija termoplastičnega materiala;vibracijska poškodovanost;pametne strukture;
Vrsta dela (COBISS): Članek v reviji
Konec prepovedi (OpenAIRE): 2023-09-11
Strani: str. 1-8
Zvezek: ǂVol. ǂ47
Čas izdaje: Nov. 2021
DOI: 10.1016/j.addma.2021.102303
ID: 13495823