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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Naji, M.
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Machado, Miguel A.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2024Evaluation of self-sensing material behaviour3citations
  • 2024Microscale channels produced by micro friction stir channeling (μFSC)1citations
  • 2024Enabling electrical response through piezoelectric particle integration in AA2017-T451 aluminium parts using FSP technology4citations
  • 2024Mechanical behavior of friction stir butt welded joints under different loading and temperature conditions11citations
  • 2023Self-sensing metallic material based on piezoelectric particles6citations
  • 2023Granting Sensorial Properties to Metal Parts through Friction Stir Processing16citations
  • 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications8citations
  • 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications8citations
  • 2021Benchmarking of Nondestructive Testing for Additive Manufacturing33citations
  • 2019Contactless high-speed eddy current inspection of unidirectional carbon fiber reinforced polymer56citations
  • 2019Evaluation of Different Non-destructive Testing Methods to Detect Imperfections in Unidirectional Carbon Fiber Composite Ropes29citations

Places of action

Chart of shared publication
Ferreira, Pedro M.
6 / 8 shared
Meireles, Afonso
1 / 1 shared
Vidal, Catarina
7 / 25 shared
Carvalho, Marta
4 / 6 shared
Damásio, Daniel F. B.
1 / 1 shared
Vidal, Catarina I. S.
1 / 1 shared
Sorger, Goncalo
1 / 1 shared
Santos, Telmo G.
4 / 62 shared
Sabor, Wagner C.
1 / 1 shared
Tasnicenco, Rúben S.
1 / 1 shared
Vilaça, Pedro
5 / 36 shared
Sorger, Gonçalo
3 / 8 shared
Caçador, David
1 / 1 shared
Farias, Francisco Werley Cipriano
1 / 14 shared
Carvalho, Marta S.
2 / 5 shared
Figueiredo, Arthur Ribeiro
1 / 3 shared
Pinto, Lucas
1 / 1 shared
Infante, Virginia
1 / 2 shared
Correia, Armenio
1 / 1 shared
Cipriano, Goncalo
1 / 1 shared
Braga, Daniel F. O.
1 / 2 shared
Vaz Pinto, Joana
1 / 12 shared
Deuermeier, Jonas
2 / 38 shared
Pinto, Joana Vaz
1 / 3 shared
Rodrigues, Tiago A.
1 / 20 shared
Miranda, R. M.
1 / 58 shared
Goodwin, Carley
1 / 1 shared
Duarte, Valdemar R.
1 / 24 shared
Huber, Daniel E.
1 / 1 shared
Oliveira, João Pedro
1 / 98 shared
Silva, Carlos M. A.
1 / 9 shared
Pombinha, Pedro
1 / 2 shared
Pragana, João P. M.
1 / 3 shared
Coutinho, Luísa
1 / 2 shared
Antin, Kim Niklas
2 / 3 shared
Rosado, Luís S.
1 / 2 shared
Chart of publication period
2024
2023
2021
2019

Co-Authors (by relevance)

  • Ferreira, Pedro M.
  • Meireles, Afonso
  • Vidal, Catarina
  • Carvalho, Marta
  • Damásio, Daniel F. B.
  • Vidal, Catarina I. S.
  • Sorger, Goncalo
  • Santos, Telmo G.
  • Sabor, Wagner C.
  • Tasnicenco, Rúben S.
  • Vilaça, Pedro
  • Sorger, Gonçalo
  • Caçador, David
  • Farias, Francisco Werley Cipriano
  • Carvalho, Marta S.
  • Figueiredo, Arthur Ribeiro
  • Pinto, Lucas
  • Infante, Virginia
  • Correia, Armenio
  • Cipriano, Goncalo
  • Braga, Daniel F. O.
  • Vaz Pinto, Joana
  • Deuermeier, Jonas
  • Pinto, Joana Vaz
  • Rodrigues, Tiago A.
  • Miranda, R. M.
  • Goodwin, Carley
  • Duarte, Valdemar R.
  • Huber, Daniel E.
  • Oliveira, João Pedro
  • Silva, Carlos M. A.
  • Pombinha, Pedro
  • Pragana, João P. M.
  • Coutinho, Luísa
  • Antin, Kim Niklas
  • Rosado, Luís S.
OrganizationsLocationPeople

article

Benchmarking of Nondestructive Testing for Additive Manufacturing

  • Rodrigues, Tiago A.
  • Miranda, R. M.
  • Machado, Miguel A.
  • Santos, Telmo G.
  • Goodwin, Carley
  • Duarte, Valdemar R.
  • Huber, Daniel E.
  • Oliveira, João Pedro
  • Silva, Carlos M. A.
  • Pombinha, Pedro
  • Pragana, João P. M.
  • Coutinho, Luísa
Abstract

<p>Defect detection in additive manufacturing (AM) is of paramount importance to improve the reliability of products. Nondestructive testing is not yet widely used for defect detection. The main challenges are a lack of standards and methods, the types and location of defects, and the complex geometry of many parts. During selective laser melting (SLM), several types of defects can occur such as porosity, cracking, and lack of fusion. In this study, several nondestructive tests were conducted in a highly complex shaped part in AISI 316L stainless steel with real defects manufactured by SLM. Two additional artificial defects (one horizontal and one flat bottom hole) were produced and the defect detectability was evaluated. The techniques used were as follows: dye penetrant, infrared thermography, immersion ultrasonic, eddy current, and X-ray microcomputed tomography to assess different types of defects in the as-built part. We conclude that no single technique can detect every type of defect, although multiple techniques provide complementary and redundant information to critically evaluate the integrity of the parts. This approach is fundamental for improving the reliability of defect detection, which will help expand the potential for using AM to produce parts for critical structural applications. </p>

Topics
  • impedance spectroscopy
  • stainless steel
  • tomography
  • selective laser melting
  • defect
  • ultrasonic
  • porosity
  • thermography