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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 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
  • 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

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Chart of shared publication
Halavage, Steven
5 / 6 shared
Loukas, Charalampos
5 / 13 shared
Mohseni, Ehsan
4 / 22 shared
Ding, Jialuo
5 / 39 shared
Williams, Stewart
5 / 39 shared
Rizwan, Muhammad Khalid
3 / 4 shared
Macleod, Charles N.
4 / 45 shared
Mckegney, Scott
5 / 6 shared
Lines, David
5 / 18 shared
Wathavana Vithanage, Randika Kosala
4 / 11 shared
Foster, Euan A.
2 / 2 shared
Zimermann, Rastislav
5 / 9 shared
Fitzpatrick, Stephen
5 / 14 shared
Vasilev, Momchil
5 / 17 shared
Pierce, Stephen
3 / 51 shared
Mohseni, Ehsan
1 / 4 shared
Pierce, Stephen Gareth
2 / 3 shared
Vithanage, Randika K. W.
1 / 2 shared
Macdonald, Charles
1 / 1 shared
Foster, Euan
1 / 8 shared
Gachagan, Anthony
1 / 76 shared
Javadi, Yashar
1 / 31 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Halavage, Steven
  • Loukas, Charalampos
  • Mohseni, Ehsan
  • Ding, Jialuo
  • Williams, Stewart
  • Rizwan, Muhammad Khalid
  • Macleod, Charles N.
  • Mckegney, Scott
  • Lines, David
  • Wathavana Vithanage, Randika Kosala
  • Foster, Euan A.
  • Zimermann, Rastislav
  • Fitzpatrick, Stephen
  • Vasilev, Momchil
  • Pierce, Stephen
  • Mohseni, Ehsan
  • Pierce, Stephen Gareth
  • Vithanage, Randika K. W.
  • Macdonald, Charles
  • Foster, Euan
  • Gachagan, Anthony
  • Javadi, Yashar
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