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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
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document
Accurate modelling of anisotropic effects in austenitic stainless steel welds
Abstract
The ultrasonic inspection of austenitic steel welds is challenging due to the formation of highly anisotropic and heterogeneous structures post-welding. This is due to the intrinsic crystallographic structure of austenitic steel, driving the formation of dendritic grain structures on cooling. The anisotropy is manifested as both a 'steering' of the ultrasonic beam and the back-scatter of energy due to the macroscopic granular structure of the weld. However, the quantitative effects and relative impacts of these phenomena are not well-understood. A semi-analytical simulation framework has been developed to allow the study of anisotropic effects in austenitic stainless steel welds. Frequency-dependent scatterers are allocated to a weld-region to approximate the coarse grain-structures observed within austenitic welds and imaged using a simulated array. The simulated A-scans are compared against an equivalent experimental setup demonstrating excellent agreement of the Signal to Noise (S/N) ratio. Comparison of images of the simulated and experimental data generated using the Total Focusing Method (TFM) indicate a prominent layered effect in the simulated data. A superior grain allocation routine is required to improve upon this.