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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Single-bit coded excitation for lightweight phase coherence imagingcitations
  • 2023Phased array inspection of narrow-gap weld LOSWF defects for in-process weld inspectioncitations
  • 2022Towards real-time ultrasound driven inspection and control of GTA welding processes for high-value manufacturingcitations
  • 2022Dual-tandem phased array inspection for imaging near-vertical defects in narrow gap weldscitations
  • 2022Automated real time eddy current array inspection of nuclear assets16citations

Places of action

Chart of shared publication
Lines, David
5 / 18 shared
Macleod, Charles N.
5 / 45 shared
Mohseni, Ehsan
3 / 22 shared
Tant, Katherine Margaret Mary
1 / 5 shared
Pierce, Stephen
4 / 51 shared
Parke, Simon
1 / 2 shared
Sweeney, Nina E.
1 / 3 shared
Foster, Euan Alexander
1 / 1 shared
Loukas, Charalampos
1 / 13 shared
Mcinnes, Martin
1 / 3 shared
Mcknight, Shaun
1 / 7 shared
Bolton, Gary
1 / 5 shared
Gachagan, Anthony
1 / 76 shared
Bernard, Robert
1 / 5 shared
Vasilev, Momchil
1 / 17 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Lines, David
  • Macleod, Charles N.
  • Mohseni, Ehsan
  • Tant, Katherine Margaret Mary
  • Pierce, Stephen
  • Parke, Simon
  • Sweeney, Nina E.
  • Foster, Euan Alexander
  • Loukas, Charalampos
  • Mcinnes, Martin
  • Mcknight, Shaun
  • Bolton, Gary
  • Gachagan, Anthony
  • Bernard, Robert
  • Vasilev, Momchil
OrganizationsLocationPeople

article

Automated real time eddy current array inspection of nuclear assets

  • Foster, Euan Alexander
  • Loukas, Charalampos
  • Mohseni, Ehsan
  • Mcinnes, Martin
  • Mcknight, Shaun
  • Bolton, Gary
  • Macleod, Charles N.
  • Lines, David
  • Gachagan, Anthony
  • Nicolson, Ewan
  • Bernard, Robert
  • Vasilev, Momchil
  • Pierce, Stephen
Abstract

Inspection of components with surface discontinuities is an area that volumetric Non-Destructive Testing (NDT) methods, such as ultrasonic and radiographic, struggle in detection and characterisation. This coupled with the industrial desire to detect surface-breaking defects of components at the point of manufacture and/or maintenance, to increase design lifetime and further embed sustainability in their business models, is driving the increased adoption of Eddy Current Testing (ECT). Moreover, as businesses move toward Industry 4.0, demand for robotic delivery of NDT has grown. In this work, the authors present the novel implementation and use of a flexible robotic cell to deliver an eddy current array to inspect stress corrosion cracking on a nuclear canister made from 1.4404 stainless steel. Three 180-degree scans at different heights on one side of the canister were performed, and the acquired impedance data were vertically stitched together to show the full extent of the cracking. Axial and transversal datasets, corresponding to the transmit/receive coil configurations of the array elements, were simultaneously acquired at transmission frequencies 250, 300, 400, and 450 kHz and allowed for the generation of several impedance C-scan images. The variation in the lift-off of the eddy current array was innovatively minimised through the use of a force–torque sensor, a padded flexible ECT array and a PI control system. Through the use of bespoke software, the impedance data were logged in real-time (≤7 ms), displayed to the user, saved to a binary file, and flexibly post-processed via phase-rotation and mixing of the impedance data of different frequency and coil configuration channels. Phase rotation alone demonstrated an average increase in Signal to Noise Ratio (SNR) of 4.53 decibels across all datasets acquired, while a selective sum and average mixing technique was shown to increase the SNR by an average of 1.19 decibels. The results show how robotic delivery of eddy current arrays, and innovative post-processing, can allow for repeatable and flexible surface inspection, suitable for the challenges faced in many quality-focused industries.

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • phase
  • mass spectrometry
  • defect
  • ultrasonic
  • stress corrosion