Single-process 3D-printed structures with vibration durability self-awareness

Palmieri, Massimiliano (author), Slavič, Janko (author), Cianetti, Filippo (author)

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.

• Language: English
• Keywords: additive manufacturing, thermoplastic material extrusion, vibration fatigue, smart structures
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Year: 2021
• Number of pages: Str. 1-8, art. 102303
• Numbering: Vol. 47
• PID: 20.500.12556/RUL-130962
• UDC: 004.925.84:621.79
• ISSN on article: 2214-8604
• DOI: 10.1016/j.addma.2021.102303
• COBISS.SI-ID: 76843523
• Publication date in RUL: 20.09.2021

Record is a part of a journal

• Title: Additive manufacturing
• Publisher: Elsevier
• ISSN: 2214-8604
• COBISS.SI-ID: 520374041

Secondary language

• Language: Slovenian
• Keywords: dodajalne tehnologije, ekstruzija termoplastičnega materiala, vibracijska poškodovanost, pametne strukture

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: N2-0144
• Name: Optična metoda za obratovalno identifikacijo reduciranega nelinearnega modela

• Funder: ARRS - Slovenian Research Agency
• Project number: J2-1730
• Name: Polno zaznavanje prostorskih vibracij s hitro kamero z aplikacijami v digitalnih dvojčkih in oddaljenem zaznavanju