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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693.932 PEOPLE
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Naji, M.
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Loukas, Charalampos

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (13/13 displayed)

  • 2023Flexible and automated robotic multi-pass arc weldingcitations
  • 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches11citations
  • 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches11citations
  • 2023Driving towards flexible and automated robotic multi-pass arc weldingcitations
  • 2022Autonomous and targeted eddy current inspection from UT feature guided wave screening of resistance seam weldscitations
  • 2022Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defectscitations
  • 2022Collaborative robotic wire + arc additive manufacture and sensor-enabled in-process ultrasonic non-destructive evaluation16citations
  • 2022Automated multi-modal in-process non-destructive evaluation of wire + arc additive manufacturingcitations
  • 2022Targeted eddy current inspection based on ultrasonic feature guided wave screening of resistance seam weldscitations
  • 2022In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probecitations
  • 2022Collaborative robotic Wire + Arc Additive Manufacture and sensor-enabled in-process ultrasonic Non-Destructive Evaluation16citations
  • 2022Automated real time eddy current array inspection of nuclear assets16citations
  • 2021A cost-function driven adaptive welding framework for multi-pass robotic welding12citations

Places of action

Chart of shared publication
Dobie, Gordon
4 / 21 shared
Gachagan, Anthony
7 / 76 shared
Sibson, Jim
3 / 3 shared
Jones, Richard
3 / 6 shared
Macleod, Charles N.
12 / 45 shared
Warner, Veronica
2 / 2 shared
Pierce, Stephen
8 / 51 shared
Halavage, Steven
6 / 6 shared
Mohseni, Ehsan
8 / 22 shared
Ding, Jialuo
5 / 39 shared
Williams, Stewart
6 / 39 shared
Rizwan, Muhammad Khalid
3 / 4 shared
Misael, Pimentel Espirindio E. Silva
5 / 5 shared
Mckegney, Scott
6 / 6 shared
Lines, David
8 / 18 shared
Wathavana Vithanage, Randika Kosala
5 / 11 shared
Foster, Euan A.
2 / 2 shared
Zimermann, Rastislav
6 / 9 shared
Fitzpatrick, Stephen
6 / 14 shared
Vasilev, Momchil
10 / 17 shared
Mohseni, Ehsan
2 / 4 shared
Pierce, Stephen Gareth
3 / 3 shared
Vithanage, Randika K. W.
2 / 2 shared
Mcinnes, Martin
3 / 3 shared
Foster, Euan
3 / 8 shared
Bernard, Robert
3 / 5 shared
Mcknight, Shaun
3 / 7 shared
Bolton, Gary
3 / 5 shared
Foster, E.
1 / 2 shared
Obrien-Oreilly, J.
1 / 3 shared
Munro, G.
1 / 3 shared
Ohare, T.
1 / 3 shared
Mcinnes, M.
1 / 2 shared
Burnham, K.
1 / 1 shared
Mcknight, S.
1 / 3 shared
Gover, H.
1 / 1 shared
Paton, S.
1 / 1 shared
Grosser, M.
1 / 2 shared
Dingv, Jialuo
1 / 1 shared
Misael Pimentel, Espirindio E. Silva
1 / 1 shared
Javadi, Yashar
2 / 31 shared
Macdonald, Charles
1 / 1 shared
Foster, Euan Alexander
1 / 1 shared
Nicolson, Ewan
1 / 5 shared
Williams, Veronica
1 / 1 shared
Chart of publication period
2023
2022
2021

Co-Authors (by relevance)

  • Dobie, Gordon
  • Gachagan, Anthony
  • Sibson, Jim
  • Jones, Richard
  • Macleod, Charles N.
  • Warner, Veronica
  • Pierce, Stephen
  • Halavage, Steven
  • Mohseni, Ehsan
  • Ding, Jialuo
  • Williams, Stewart
  • Rizwan, Muhammad Khalid
  • Misael, Pimentel Espirindio E. Silva
  • Mckegney, Scott
  • Lines, David
  • Wathavana Vithanage, Randika Kosala
  • Foster, Euan A.
  • Zimermann, Rastislav
  • Fitzpatrick, Stephen
  • Vasilev, Momchil
  • Mohseni, Ehsan
  • Pierce, Stephen Gareth
  • Vithanage, Randika K. W.
  • Mcinnes, Martin
  • Foster, Euan
  • Bernard, Robert
  • Mcknight, Shaun
  • Bolton, Gary
  • Foster, E.
  • Obrien-Oreilly, J.
  • Munro, G.
  • Ohare, T.
  • Mcinnes, M.
  • Burnham, K.
  • Mcknight, S.
  • Gover, H.
  • Paton, S.
  • Grosser, M.
  • Dingv, Jialuo
  • Misael Pimentel, Espirindio E. Silva
  • Javadi, Yashar
  • Macdonald, Charles
  • Foster, Euan Alexander
  • Nicolson, Ewan
  • Williams, Veronica
OrganizationsLocationPeople

conferencepaper

Targeted eddy current inspection based on ultrasonic feature guided wave screening of resistance seam welds

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

Non-Destructive Testing (NDT) of manufactured components has traditionally been expensive and labour intensive. Such issues are compounded further in safety-conscious industries such as nuclear and aerospace. With the advent of industry 4.0, an opportunity to exploit the intersection of many different NDT modalities to increase the productivity of current inspection regimes presents itself via robotic control. Two of the most common inspection modalities are ultrasonic and eddy current testing, with many benefits being derived from leveraging their respective advantages. Within the broader family of ultrasonic NDT, guided wave inspection has mainly been used as a screening tool to test long lengths of components from a single transducer location. It has also been shown that Feature Guided Waves (FGWs) that have their energy confined to a topological feature within a component’s geometry exist. As a result, FGWs offer much promise when it comes to targeted screening of key structural features such as welds or adhesive bonds. Moreover, due to the inherent dispersion, guided wave testing has proven to be complex, making operator training paramount and increasing the cost of industrial deployment. Furthermore, it is common to use a localised NDT modality in combination with guided wave testing when attempting defect characterisation creating further cost and time demands on operators.<br/>To relieve these pain points and realise the benefits of using multiple inspection modalities, the authors present the use of a flexible robotic system to flag potential defective regions within resistance seam welded (RSW) components via a novel ultrasonic FGW technique, and then perform targeted raster scans using an eddy current array on any of the identified defective regions. RSWs are used to seal nuclear grade canisters and represent a key industrial area that could benefit from data sharing across NDT modalities. A novel FGW was studied in detail through simulations and experiments. A weld guided mode like that of the fundamental antisymmetric mode of a free plate was discovered to have high energy concentration in the RSW joint and could readily detect transversal defects of ≥1mm in depth.The FGW technique was deployed in a semi-autonomous fashion lowering the aforementioned technical deployment barriers. Control of the robotic system as well as the ultrasonic and eddy current data acquisition, was performed within the LabVIEW software environment. This common integration allowed for seamless sharing of key parameters between the FGW and eddy current inspection modalities.<br/>For simplicity, flat RSW plates with transversal EDM notches ranging from 1mm depth and above were manufactured where the EDM notches represented transversal cracks within the component. Several experiments were performed on these samples where the inspection time associated with targeted raster scanning of the eddy current array on defective regions was compared to that of untargeted raster scanning of the entire component. It was shown that combining such techniques within a robotic environment greatly increases the productivity and lowers the time taken to effectively scan for defects within key structural features by at least a factor of 5. Future work is now focusing on expanding the results observed for the flat plate RSW samples to cylindrical RSW samples representative of sealed nuclear canisters.

Topics
  • impedance spectroscopy
  • dispersion
  • experiment
  • simulation
  • crack
  • defect
  • ultrasonic