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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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 (1/1 displayed)

  • 2021Experimental and numerical investigations of oxide-related defects in Al alloy gravity die castings13citations

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Scampone, Giulia
1 / 5 shared
Pirovano, Raul
1 / 2 shared
Timelli, Giulio
1 / 8 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Scampone, Giulia
  • Pirovano, Raul
  • Timelli, Giulio
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article

Experimental and numerical investigations of oxide-related defects in Al alloy gravity die castings

  • Mascetti, Stefano
  • Scampone, Giulia
  • Pirovano, Raul
  • Timelli, Giulio
Abstract

<jats:title>Abstract</jats:title><jats:p>This research aimed to study the formation and distribution of oxide-related defects in the gravity die casting process of an AlSi7Cu0.5Mg alloy by using experimental and numerical investigations. Metallographic and image analysis techniques were conducted to map the distribution of oxide inclusions inside the casting at the microscopic level. Numerical simulations were used to analyse the filling and solidification stages, and to foresee the turbulence of the melt and the formation of the oxide defects. The results show that most of the defects were correlated with the oxide layers or bubbles entrained inside the liquid metal. The accuracy of the numerical code in simulating the metal fluid-dynamic behaviour and the heat transfer was verified, and the results were in agreement with the experimental findings. The numerical distribution of defects was consistent with the experimental results, proving that the model successfully predicted the formation of oxide-related defects.</jats:p>

Topics
  • inclusion
  • simulation
  • melt
  • solidification
  • die casting