2020
DOI: 10.1016/j.measurement.2020.107939
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Calibration of cast-in fibre Bragg gratings for internal strain measurements in cast aluminium by using neutron diffraction

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Cited by 6 publications
(7 citation statements)
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“…This elongation change of the fiber in axial direction as a combination of mechanical and thermal strain and can be calculated according to equation 2. The proportionality constant is denoted by κ [4]. This describes the interface influences between the glass fiber and the alloy.…”
Section: Fiber-bragg-gratingmentioning
confidence: 99%
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“…This elongation change of the fiber in axial direction as a combination of mechanical and thermal strain and can be calculated according to equation 2. The proportionality constant is denoted by κ [4]. This describes the interface influences between the glass fiber and the alloy.…”
Section: Fiber-bragg-gratingmentioning
confidence: 99%
“…However, such measurements can only be carried out and conducted within a laboratory environment. An alternative way of measuring both temperature and strain at the same time is the use of optical methods [4]. FBGs is such a method to perform experiments in the liquid phase of aluminum…”
Section: Introductionmentioning
confidence: 99%
“…For a distinct evaluation of the strain transition from aluminium to fibre, we used the implicit finite element (FE) simulation given in Figure 9, as already presented in [13]. In order to model the interaction properly, the simulation starts with the cooling of the aluminium body, which forces compression strains onto the fibre-see Figure 10.…”
Section: Simulationmentioning
confidence: 99%
“…We extended the model by defining a step-wise increasing load σ onto the upper surface of the aluminium body as depicted in Figure 9a. For an additional evaluation on how the occurring porosity within the specimen affects the strain transition, the aluminium body contains voids, which are simulated by a random deletion of nodes in the FE-mesh, as already described by Heilmeier et al [13]. The mesh with deleted nodes is shown in Figure 9b, while Figure 9c shows a detailed view of the voids on the model's surface.…”
Section: Simulationmentioning
confidence: 99%
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