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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Wilcox, Pd
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imagingcitations
- 2020Data fusion of multi-view ultrasonic imaging for characterisation of large defectscitations
- 2018Ultrasonic Analytic-Signal Responses from Polymer-Matrix Composite Laminatescitations
- 2016Ultrasonic tracking of ply drops in composite laminatescitations
- 2015Progress in non-destructive 3D characterization and modelling of aerospace composites
- 2013Imaging composite material using ultrasonic arrayscitations
- 2013Effective dynamic moduli and density of fiber-reinforced composites
- 2012Monte Carlo inversion of ultrasonic array data to map anisotropic weld propertiescitations
- 2012Autofocus imaging
- 2012Imaging composite material using ultrasonic arrayscitations
- 2012Effective dynamic constitutive parameters of acoustic metamaterials with random microstructurecitations
- 2010Inspection of single crystal aerospace components with ultrasonic arrayscitations
- 2009Post-processing of guided wave array data for high resolution pipe inspectioncitations
- 2008Acoustic emission from pitting corrosion in stressed stainless steel platecitations
- 2008Lamb wave propagation in negative Poisson's ratio composites
- 2006Guided Wave Acoustic Emission from Fatigue Crack Growth in Aluminium Plate
- 2006On the development and testing of a guided ultrasonic wave array for structural integrity monitoringcitations
- 2006Acoustic emission in wide composite specimens
- 2006Global crack detection for aircraft monitoring using bispectral analysis
- 2005Omnidirectional guided wave inspection of large metallic plate structures using an EMAT arraycitations
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article
Acoustic emission from pitting corrosion in stressed stainless steel plate
Abstract
The acoustic emission (AE) technique is used to detect and study the AE signals emitted from pitting corrosion on 316L stainless steel plate samples subjected to different levels of surface stress. The tests are performed in a four point bend using accelerated localised salt water corrosion driven by a potentiostat. The AE event rate and the corrosion rate are both found to be affected by the different surface stresses on the plate. After an initial stress dependent phase that lasts around two hours, the AE event rate reduces to a fairly steady rate that is independent of the applied stress. The statistics of the AE data collected from pitting in these specimens is used as the input into a model of an AE corrosion detection system in a larger scale structure. Such a model can be used to estimate the performance of the system as a function of parameters such as threshold level and sensor separation. ; The acoustic emission (AE) technique is used to detect and study the AE signals emitted from pitting corrosion on 316L stainless steel plate samples subjected to different levels of surface stress. The tests are performed in a four point bend using accelerated localised salt water corrosion driven by a potentiostat. The AE event rate and the corrosion rate are both found to be affected by the different surface stresses on the plate. After an initial stress dependent phase that lasts around two hours, the AE event rate reduces to a fairly steady rate that is independent of the applied stress. The statistics of the AE data collected from pitting in these specimens is used as the input into a model of an AE corrosion detection system in a larger scale structure. Such a model can be used to estimate the performance of the system as a function of parameters such as threshold level and sensor separation.