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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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Drinkwater, Bw
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2021Exploring high-frequency eddy-current testing for sub-aperture defect characterisation using parametric-manifold mappingcitations
- 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current datacitations
- 2017Three-dimensional ultrasonic trapping of micro-particles in water with a simple and compact two-element transducercitations
- 2016Ultrasonic Array Imaging Through an Anisotropic Austenitic Steel Weld Using an Efficient Ray-tracing Algorithmcitations
- 2014Accurate modelling of anisotropic effects in austenitic stainless steel welds
- 2013Detection of Fibre Waviness Using Ultrasonic Array Scattering Datacitations
- 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
- 2010Ultrasonic condition monitoring using thin-film piezoelectric sensorscitations
- 2010Inspection of single crystal aerospace components with ultrasonic arrayscitations
- 2009Measurement of the ultrasonic nonlinearity of kissing bonds in adhesive jointscitations
- 2008Acoustic emission from pitting corrosion in stressed stainless steel platecitations
- 2006Oil film measurement in polytetrafluoroethylene-faced thrust pad bearings for hydrogenerator applicationscitations
- 2006Guided Wave Acoustic Emission from Fatigue Crack Growth in Aluminium Plate
- 2006Monitoring of lubricant film failure in a ball bearing using ultrasoundcitations
- 2006Intra-laminar cracking in CFRP laminatescitations
- 2006Global crack detection for aircraft monitoring using bispectral analysis
- 2006Intra-laminar cracking in CFRP laminates: observations and modelling ; Intra-laminar cracking in CFRP laminates:Observations and modellingcitations
- 2004The on-line measurement of lubricant film thickness for condition monitoringcitations
- 2003An ultrasonic wheel-array sensor and its application to aerospace structurescitations
- 2003The measurement of lubricant-film thickness using ultrasoundcitations
Places of action
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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.