20.500.12556/RUL-130962 Single-process 3D-printed structures with vibration durability self-awareness 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. additive manufacturing thermoplastic material extrusion vibration fatigue smart structures dodajalne tehnologije ekstruzija termoplastičnega materiala vibracijska poškodovanost pametne strukture true false true Angleški jezik Slovenski jezik Članek v reviji 2021-09-20 07:14:15 2021-09-20 07:14:22 2022-09-10 04:09:04 0000-00-00 00:00:00 2021 0 0 Str. 1-8, art. 102303 Vol. 47 Nov. 2021 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2023-09-11 004.925.84:621.79 2214-8604 10.1016/j.addma.2021.102303 76843523 RAZ_Palmieri_Massimiliano_2021.pdf RAZ_Palmieri_Massimiliano_2021.pdf 1 A095EBBA86C41FF51E10E05B2D542D64 2ade3360d8a2a22537057603f53367ecd0cc54f8f736cc6fb39106ff64c2d847 af24ab6e-19d1-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=148168 https://www.sciencedirect.com/science/article/pii/S2214860421004619?via%3Dihub#! 1 59d6e1a0-19d1-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=148164 Fakulteta za strojništvo 0 0 0