| Title |
The thermal influence on the material durability of additive manufactured glass fibre reinforced polymer with embedded fibre Bragg grating sensor / |
| Authors |
Mieloszyk, Magdalena ; Andrearczyk, Artur ; Rimasauskiene, Ruta ; Rimasauskas, Marius ; Orlowska, Anita |
| DOI |
10.1016/j.prostr.2024.01.101 |
| Full Text |
|
| Is Part of |
Procedia structural integrity: International conference on structural integrity 2023 (ICSI 2023).. Amsterdam : Elsevier. 2024, vol. 54, p. 414-422.. ISSN 2452-3216 |
| Keywords [eng] |
additive manufacturing ; fibre Bragg grating sensors ; structural health monitoring |
| Abstract [eng] |
The goal of the paper is to analyse the influence of embedded fibre Bragg grating (FBG) sensors on additive manufactured (AM) glass fibre reinforced polymer (GFRP) samples structure and durability. The samples were manufactured using the modified fused deposition modelling (FDM) method. Two types of samples were fabricated (without and with FBG sensors embedded in the middle). The AM process did not influence the FBG sensors spectra shape. The sensors were applied for strain measurements during the thermal and tensile tests. The samples (without and with embedded FBG sensors) were divided into two sets. One of them was exposed to assumed values of temperatures (in a range of 10◦C to 50◦C) under stable relative humidity levels (20% and 95%) in an environmental chamber. While the second set remained intact. Then the tensile test was performed on all samples to analyse the embedded FBG sensors influences on AM GFRP samples durability. Additionally, the samples structure (after manufacturing and after thermal tests) was measured using SEM microscope and THz spectrometer. The analyses allowed better understanding of the influence of the temperature on the GFRP material structure as well as the breaking process during the tensile test. It was concluded that embedded FBG sensors can be applied for strain measurements of AM GFRP elements exposed to thermal and mechanical loading. Additionally, it was observed that the sensors influence on the material durability was neglected and the AM method can be applied to manufacturing smart structures. |
| Published |
Amsterdam : Elsevier |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
