People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Macpherson, William N.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2021Laser-manufactured glass microfluidic devices with embedded sensors
- 2017Integrating fiber Fabry-Perot cavity sensor into 3-D printed metal components for extreme high-temperature monitoring applicationscitations
- 2016Stainless steel component with compressed fiber Bragg grating for high temperature sensing applicationscitations
- 2015Measuring residual stresses in metallic components manufactured with fibre bragg gratings embedded by selective laser meltingcitations
- 2015SS316 structure fabricated by selective laser melting and integrated with strain isolated optical fiber high temperature sensorcitations
- 2015In-situ strain sensing with fiber optic sensors embedded into stainless steel 316citations
- 2014In-situ measurements with fibre bragg gratings embedded in stainless steelcitations
- 2013Embedding optical fibers into stainless steel using laser additive manufacturing
- 2013Embedded fibre optic sensors within additive layer manufactured componentscitations
- 2013Embedding metallic jacketed fused silica fibres into stainless steel using additive layer manufacturing technologycitations
- 2011Impact damage assessment by sensor signal analysis
- 2009Sensing properties of germanate and tellurite glass optical fibrescitations
- 2009Fiber Bragg gratings inscribed using 800nm femtosecond laser and a phase mask in singleand multi-core mid-IR glass fibers
- 2009Fiber Bragg gratings inscribed using 800nm femtosecond laser and a phase mask in single- And multi-core mid-IR glass fiberscitations
- 2008Three-core tellurite fiber with multiple rare earth emissioncitations
- 2008Mid-infrared gas sensing using a photonic bandgap fibercitations
- 2007Thermal sensitivity of tellurite and germanate optical fiberscitations
- 2007Design and fabrication of dielectric diaphragm pressure sensors for applications to shock wave measurement in aircitations
- 2007Thermal response of tellurite glass optical fibre
- 2007Multiple rare earth emissions in a multicore tellurite fiber with a single pump wavelengthcitations
- 2006Interferometric sensors for application in the bladder and the lower urinary tractcitations
- 2005Strain and temperature sensitivity of a single-mode polymer optical fibercitations
- 2005Strain and temperature sensitivity of a single-mode polymer optical fiber
- 2005Single-mode mid-IR guidance in a hollow-core photonic crystal fibercitations
- 2004Temperature dependence of the stress response of fibre Bragg gratingscitations
Places of action
Organizations | Location | People |
---|
document
Impact damage assessment by sensor signal analysis
Abstract
<p>Aircraft that employ composites are prone to impact damage that can degrade structural performance and yet leave little visible sign. Manual inspection to detect such damage can be costly and time consuming. In this paper we investigate the use of damage detection sensors to discriminate between damaging and non-damaging impacts. In use it is likely that the impact magnitude and location will be unknown. To simulate this, a range of impact energies were performed at a varying distances from a piezoelectric acoustic sensor on composite panels. The sensor output was analysed to find distance invariant features that could be used to indicate whether an impact caused damage. In damaging impacts, a secondary signal burst, with amplitude significant when compared to the initial burst, was observed. An algorithm was produced to differentiate signals based on this feature which has the potential to contribute to a structural monitoring system and thus reduce the inspection burden ultimately leading to lower aircraft maintenance costs.</p>