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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 20243-Dimensional residual neural architecture search for ultrasonic defect detection5citations
  • 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches11citations
  • 2023Mapping SEARCH capabilities to Spirit AeroSystems NDE and automation demand for compositescitations
  • 2022Mechanical stress measurement using phased array ultrasonic systemcitations
  • 2022Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defectscitations
  • 2022Investigating ultrasound wave propagation through the coupling medium and non-flat surface of wire + arc additive manufactured components inspected by a PAUT roller-probecitations
  • 2022Automated multi-modal in-process non-destructive evaluation of wire + arc additive manufacturingcitations
  • 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
  • 2020In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding29citations
  • 2020Laser-assisted surface adaptive ultrasound (SAUL) inspection of samples with complex surface profiles using a phased array roller-probecitations

Places of action

Chart of shared publication
Tunukovic, Vedran
2 / 6 shared
Mackinnon, Christopher
1 / 3 shared
Ohare, Tom
1 / 5 shared
Mohseni, Ehsan
11 / 22 shared
Mcknight, Shaun
1 / 7 shared
Macleod, Charles N.
10 / 45 shared
Pierce, Stephen
10 / 51 shared
Halavage, Steven
4 / 6 shared
Loukas, Charalampos
5 / 13 shared
Ding, Jialuo
5 / 39 shared
Williams, Stewart
5 / 39 shared
Rizwan, Muhammad Khalid
3 / 4 shared
Misael, Pimentel Espirindio E. Silva
4 / 5 shared
Mckegney, Scott
4 / 6 shared
Lines, David
7 / 18 shared
Foster, Euan A.
1 / 2 shared
Zimermann, Rastislav
7 / 9 shared
Fitzpatrick, Stephen
4 / 14 shared
Vasilev, Momchil
6 / 17 shared
Dobie, Gordon
2 / 21 shared
Poole, A.
1 / 2 shared
Obrien-Oreilly, J.
2 / 3 shared
Pyle, Richard
1 / 2 shared
Munro, G.
2 / 3 shared
Ohare, T.
2 / 3 shared
Mcinnes, M.
2 / 2 shared
Hifi, A.
1 / 1 shared
Mcknight, S.
2 / 3 shared
Gomez, R.
1 / 3 shared
Shields, M.
1 / 1 shared
Hutchison, Alistair
1 / 1 shared
Mehnen, Jorn
1 / 4 shared
Lotfian, Saeid
1 / 22 shared
Gachagan, Anthony
5 / 76 shared
Javadi, Yashar
4 / 31 shared
Foster, E.
1 / 2 shared
Burnham, K.
1 / 1 shared
Gover, H.
1 / 1 shared
Paton, S.
1 / 1 shared
Grosser, M.
1 / 2 shared
Foster, Euan
2 / 8 shared
Macdonald, Charles
1 / 1 shared
Pierce, Stephen Gareth
1 / 3 shared
Stratoudaki, Theodosia
1 / 7 shared
Mineo, Carmelo
1 / 15 shared
Qiu, Zhen
2 / 14 shared
Sweeney, Nina E.
1 / 3 shared
Chart of publication period
2024
2023
2022
2020

Co-Authors (by relevance)

  • Tunukovic, Vedran
  • Mackinnon, Christopher
  • Ohare, Tom
  • Mohseni, Ehsan
  • Mcknight, Shaun
  • Macleod, Charles N.
  • Pierce, Stephen
  • Halavage, Steven
  • Loukas, Charalampos
  • Ding, Jialuo
  • Williams, Stewart
  • Rizwan, Muhammad Khalid
  • Misael, Pimentel Espirindio E. Silva
  • Mckegney, Scott
  • Lines, David
  • Foster, Euan A.
  • Zimermann, Rastislav
  • Fitzpatrick, Stephen
  • Vasilev, Momchil
  • Dobie, Gordon
  • Poole, A.
  • Obrien-Oreilly, J.
  • Pyle, Richard
  • Munro, G.
  • Ohare, T.
  • Mcinnes, M.
  • Hifi, A.
  • Mcknight, S.
  • Gomez, R.
  • Shields, M.
  • Hutchison, Alistair
  • Mehnen, Jorn
  • Lotfian, Saeid
  • Gachagan, Anthony
  • Javadi, Yashar
  • Foster, E.
  • Burnham, K.
  • Gover, H.
  • Paton, S.
  • Grosser, M.
  • Foster, Euan
  • Macdonald, Charles
  • Pierce, Stephen Gareth
  • Stratoudaki, Theodosia
  • Mineo, Carmelo
  • Qiu, Zhen
  • Sweeney, Nina E.
OrganizationsLocationPeople

article

In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches

  • Halavage, Steven
  • Loukas, Charalampos
  • Mohseni, Ehsan
  • Ding, Jialuo
  • Williams, Stewart
  • Rizwan, Muhammad Khalid
  • Macleod, Charles N.
  • Misael, Pimentel Espirindio E. Silva
  • Mckegney, Scott
  • Lines, David
  • Wathavana Vithanage, Randika Kosala
  • Foster, Euan A.
  • Zimermann, Rastislav
  • Fitzpatrick, Stephen
  • Vasilev, Momchil
  • Pierce, Stephen
Abstract

Metal additive manufacturing is rapidly gaining popularity and interest from sectors aiming to produce larger-scale high-value components cost-effectively. To ensure each component is leaving the fabrication cell defect-free, it is highly desirable to inspect each layer or selected volume of the build. This is a significant challenge, given that conventional non-destructive evaluation (NDE) is a post-manufacturing operation. The opportunity exists in the development of novel flexible automated manufacturing systems aiming to merge deposition and inspection. Hence, enabling defect detection at the point of the creation allows subsequent rapid repair or reduction in scrappage. In this work, the authors present research from one such multi-robot cell, where a directed energy deposition process called wire + arc additive manufacture is used to build components while novel in-process ultrasound and eddy-current approaches are deployed to inspect a component with artificially embedded reflectors. The outcome of this work demonstrates a promising ability to merge manufacturing and NDE into a single process and hence, strengthen the overall benefits of metal additive manufacturing fields.

Topics
  • Deposition
  • impedance spectroscopy
  • defect
  • wire
  • directed energy deposition