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 (1/1 displayed)

  • 2022A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel3citations

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Jongbloed, Geurt
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Sietsma, Jilt
1 / 44 shared
Vittorietti, Martina
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Hidalgo, J.
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2022

Co-Authors (by relevance)

  • Jongbloed, Geurt
  • Sietsma, Jilt
  • Vittorietti, Martina
  • Hidalgo, J.
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article

A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel

  • Jongbloed, Geurt
  • Sietsma, Jilt
  • Vittorietti, Martina
  • Hidalgo, J.
  • Lopez, J. Galan
Abstract

This study proposes a new approach to determine phenomenological or physical relations between microstructure features and the mechanical behavior of metals bridging advanced statistics and materials science in a study of the effect of hard precipitates on the hardening of metal alloys. Synthetic microstructures were created using multi-level Voronoi diagrams in order to control microstructure variability and then were used as samples for virtual tensile tests in a full-field crystal plasticity solver. A data-driven model based on Functional Principal Component Analysis (FPCA) was confronted with the classical Voce law for the description of uniaxial tensile curves of synthetic AISI 420 steel microstructures consisting of a ferritic matrix and increasing volume fractions of M23C6 carbides. The parameters of the two models were interpreted in terms of carbide volume fractions and texture using linear mixed-effects models.

Topics
  • carbide
  • steel
  • texture
  • precipitate
  • plasticity
  • crystal plasticity