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)

  • 2023Classification of peritectic steels by experimental methods, computational thermodynamics and plant data: An Overviewcitations

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Ilie, Sergiu
1 / 18 shared
Bernhard, Christian
1 / 53 shared
Presoly, Peter
1 / 25 shared
Hahn, Susanne
1 / 5 shared
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2023

Co-Authors (by relevance)

  • Ilie, Sergiu
  • Bernhard, Christian
  • Presoly, Peter
  • Hahn, Susanne
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document

Classification of peritectic steels by experimental methods, computational thermodynamics and plant data: An Overview

  • Ilie, Sergiu
  • Bernhard, Christian
  • Kavić, Daniel
  • Presoly, Peter
  • Hahn, Susanne
Abstract

Modern steel grades are subjected to constant development to perform weight reduction, energy-saving, and automobile safety performance. In the last decades, high strength and ductile steels were developed with increasing quantities of silicon and manganese. Apart from the research on these new steels' material and product properties, the knowledge about the production process, particularly the continuous casting (CC) and the initial solidification in a water-cooled copper mould is of significant importance. In this regard, the high-temperature phase transformations and the thermodynamic properties play a particular role. <br/>An efficient pre-identification of hypo-peritectic steel grades by experiments or thermodynamics is relevant to ensure surface quality, productivity, and operational safety in the casting process. The potential of different laboratory experimental methods and thermodynamic approaches is critical evaluated in comparison with operational experience from voestalpine Stahl Linz. <br/>Since process data in the continuous casting process often overlap with different operating influences (e.g. casting speed changes, width adjustments…), a new approach is presented to identify the process behaviour of peritectic steels without additional effects. For this purpose, operating data from the mould monitoring were processed statistically, and only data areas with a steady-state casting length of more than 100 m were used for further consideration. Using this data preparation method, the peritectic area in the continuous casting process can be clearly described. Statistically prepared process data and experimentally verified thermodynamic data are the basis for the development and validation of demanding process models.

Topics
  • impedance spectroscopy
  • surface
  • phase
  • experiment
  • strength
  • steel
  • copper
  • Silicon
  • Manganese
  • solidification
  • continuous casting