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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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%

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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
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Dwyer-Joyce, Rs
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Dunhill, A.
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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
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Lee, Ck
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Wisnom, Mr
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Dwyer-Joyce, R. S.
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Pritchard, J.
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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

document

Accurate modelling of anisotropic effects in austenitic stainless steel welds

  • Drinkwater, Bw
  • Nowers, O. D.
  • Duxbury, D. J.
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.

Topics
  • impedance spectroscopy
  • grain
  • stainless steel
  • simulation
  • anisotropic
  • layered
  • ultrasonic