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 (2/2 displayed)

  • 2022Tensile Properties of As-Built 18Ni300 Maraging Steel Produced by DED5citations
  • 2020Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation16citations

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Chart of shared publication
Seca, Ricardo
1 / 2 shared
Gil, Jorge
1 / 1 shared
Reis, Ana
1 / 15 shared
Emadinia, Omid
1 / 5 shared
De Jesus, Abílio M. P.
1 / 12 shared
Chart of publication period
2022
2020

Co-Authors (by relevance)

  • Seca, Ricardo
  • Gil, Jorge
  • Reis, Ana
  • Emadinia, Omid
  • De Jesus, Abílio M. P.
OrganizationsLocationPeople

article

Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation

  • Amaral, Rui
Abstract

<jats:p> The emergence of reliable material characterization techniques in automotive and aeronautical industries, in particular sheet metal forming, promises to underpin a novel advance in materials research. In this regard, 5xxx series aluminium alloys deliver the largest formability range and can be deformed at room temperature. This study aims at determining the mechanical properties of the AA5352 aluminium alloy, using digital image correlation. Thus, tensile sheet specimens manufactured from the corresponding alloy are mechanically tested under a uniaxial condition and deformation fields are monitored. Considering the force/displacement response and stress/strain curves, the material Poisson’s ratio, Young’s modulus and anisotropy coefficient in the transverse direction are characterized by the experimental digital image correlation data. It intends to obtain accurate and reliable mechanical properties to be considered in the future processing analyses. Numerically, adopting the experimentally obtained material properties, the Gurson–Tvergaard–Needleman damage model is implemented using finite element method formulation to forecast the ductile fracture performance of the tested AA5352 sheet. The predicted results are then compared with the experimental digital image correlation solution verifying good agreement with the force/displacement response and the deformation fields. Overall, the acquired numerical results imply that the Gurson–Tvergaard–Needleman damage criterion is capable to render an accurate prediction upon a high stress triaxiality state. </jats:p>

Topics
  • impedance spectroscopy
  • aluminium
  • aluminium alloy
  • forming