Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Drinkwater, Bw

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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 mapping3citations
  • 2018Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data48citations
  • 2017Three-dimensional ultrasonic trapping of micro-particles in water with a simple and compact two-element transducer65citations
  • 2016Ultrasonic Array Imaging Through an Anisotropic Austenitic Steel Weld Using an Efficient Ray-tracing Algorithm25citations
  • 2014Accurate modelling of anisotropic effects in austenitic stainless steel weldscitations
  • 2013Detection of Fibre Waviness Using Ultrasonic Array Scattering Data45citations
  • 2013Imaging composite material using ultrasonic arrays116citations
  • 2013Effective dynamic moduli and density of fiber-reinforced compositescitations
  • 2012Monte Carlo inversion of ultrasonic array data to map anisotropic weld properties30citations
  • 2012Autofocus imagingcitations
  • 2012Imaging composite material using ultrasonic arrays7citations
  • 2012Effective dynamic constitutive parameters of acoustic metamaterials with random microstructure14citations
  • 2010Ultrasonic condition monitoring using thin-film piezoelectric sensors11citations
  • 2010Inspection of single crystal aerospace components with ultrasonic arrays3citations
  • 2009Measurement of the ultrasonic nonlinearity of kissing bonds in adhesive joints157citations
  • 2008Acoustic emission from pitting corrosion in stressed stainless steel plate3citations
  • 2006Oil film measurement in polytetrafluoroethylene-faced thrust pad bearings for hydrogenerator applications31citations
  • 2006Guided Wave Acoustic Emission from Fatigue Crack Growth in Aluminium Platecitations
  • 2006Monitoring of lubricant film failure in a ball bearing using ultrasound63citations
  • 2006Intra-laminar cracking in CFRP laminates14citations
  • 2006Global crack detection for aircraft monitoring using bispectral analysiscitations
  • 2006Intra-laminar cracking in CFRP laminates: observations and modelling ; Intra-laminar cracking in CFRP laminates:Observations and modelling14citations
  • 2004The on-line measurement of lubricant film thickness for condition monitoring5citations
  • 2003An ultrasonic wheel-array sensor and its application to aerospace structures22citations
  • 2003The measurement of lubricant-film thickness using ultrasound176citations

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Hughes, Robert R.
2 / 6 shared
Smith, Robert A.
1 / 19 shared
Malkin, Robert
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Franklin, Amanda
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Marzo, Asier
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Duxbury, David J.
1 / 1 shared
Nowers, Oliver
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Nowers, O. D.
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Duxbury, D. J.
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Pain, Damien
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Wilcox, Pd
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Li, Chuan
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Caleap, Mihai
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Hunter, Alan J.
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Zhang, Jie
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Hunter, A.
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Hutson, D.
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Elgoyhen, J.
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Hood, Jp
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Kirk, Kj
1 / 1 shared
Dwyer-Joyce, Rs
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Dunhill, A.
1 / 1 shared
Lane, C. J. L.
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Neild, Simon
2 / 6 shared
Yan, D.
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Scholey, Jj
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Friswell, Mi
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Worthington, Se
1 / 1 shared
Lee, Ck
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Wisnom, Mr
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Dwyer-Joyce, R. S.
2 / 17 shared
Pritchard, J.
1 / 2 shared
Harper, P.
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Verllos, N.
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Balhi, N.
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Smith, Pa
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Guild, Fj
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Ogin, Sl
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Courtney, Crp
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Freemantle, R. J.
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Brotherhood, C. J.
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Donohoe, Cj
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Co-Authors (by relevance)

  • Hughes, Robert R.
  • Smith, Robert A.
  • Malkin, Robert
  • Franklin, Amanda
  • Marzo, Asier
  • Duxbury, David J.
  • Nowers, Oliver
  • Nowers, O. D.
  • Duxbury, D. J.
  • Pain, Damien
  • Wilcox, Pd
  • Li, Chuan
  • Caleap, Mihai
  • Hunter, Alan J.
  • Zhang, Jie
  • Hunter, A.
  • Hutson, D.
  • Elgoyhen, J.
  • Hood, Jp
  • Kirk, Kj
  • Dwyer-Joyce, Rs
  • Dunhill, A.
  • Lane, C. J. L.
  • Neild, Simon
  • Yan, D.
  • Scholey, Jj
  • Friswell, Mi
  • Worthington, Se
  • Lee, Ck
  • Wisnom, Mr
  • Dwyer-Joyce, R. S.
  • Pritchard, J.
  • Harper, P.
  • Verllos, N.
  • Balhi, N.
  • Smith, Pa
  • Guild, Fj
  • Ogin, Sl
  • Courtney, Crp
  • Freemantle, R. J.
  • Brotherhood, C. J.
  • Donohoe, Cj
OrganizationsLocationPeople

article

Ultrasonic Array Imaging Through an Anisotropic Austenitic Steel Weld Using an Efficient Ray-tracing Algorithm

  • Drinkwater, Bw
  • Duxbury, David J.
  • Nowers, Oliver
Abstract

Ultrasonic inspection of austenitic welds is challenging due to their highly anisotropic and heterogeneous microstructure. The weld anisotropy causes a steering of the ultrasonic beam leading to a number of adverse effects upon ultrasonic array imagery, including defect mislocation and aberration of the defect response. A semi-analytical model to simulate degraded ultrasonic images due to propagation through an anisotropic austenitic weld is developed. Ray-tracing is performed using the A⁎ path-finding algorithm and integrated into a semi-analytical beam-simulation and imaging routine to observe the impact of weld anisotropy on ultrasonic imaging. Representative anisotropy weld-maps are supplied by the MINA model of the welding process. A number of parametric studies are considered, including the magnitude and behaviour of defect mislocation and amplitude as the position of a fusion-face defect and the anisotropy distribution of a weld is varied, respectively. Furthermore, the use of the model to efficiently simulate and evaluate ultrasonic image degradation due to anisotropic austenitic welds during an inspection development process is discussed.

Topics
  • impedance spectroscopy
  • microstructure
  • simulation
  • anisotropic
  • steel
  • defect
  • ultrasonic