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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Naji, M.
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Ilie, Sergiu

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (18/18 displayed)

  • 2024Investigating the Origin of Non-Metallic Inclusions in Ti-Stabilized ULC Steels Using Different Tracing Techniques5citations
  • 2023Different Approaches to Trace the Source of Non-Metallic Inclusions in Steelcitations
  • 2023Application of tracing techniques to determine the source of alumina inclusions in the clogging layer of Ti-stabilized ULC steelscitations
  • 2023Classification of peritectic steels by experimental methods, computational thermodynamics and plant data: An Overviewcitations
  • 2023Impurities and tramp elements in steel: Thermodynamic aspects and the application to solidification processescitations
  • 2023Comparison of tracing deoxidation products with rare earth elements in the industry and on a laboratory scalecitations
  • 2022High temperature thermodynamics of the Fe-C-Mn system; new experimental data for the Fe-C-10 and 20 wt.-% Mn systemcitations
  • 2022Different Approaches to Trace the Source of Non-Metallic Inclusions in Steel1citations
  • 2022A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel7citations
  • 2022Selected metallurgical models for computationally efficient prediction of quality-related issues in continuous slab casting of steelcitations
  • 2022Thermomechanical and Microstructural Analysis of the Influence of B- and Ti-Content on the Hot Ductility Behavior of Microalloyed Steels4citations
  • 2021Investigations on hot tearing in a continuous slab caster: Numerical modelling combined with analysis of plant resultscitations
  • 2020Utilization of Experimental Data as Boundary Conditions for the Solidification Model Tempsimu-3D5citations
  • 2019Investigation of water droplet impingement under conditions of the secondary cooling zone of a continuous castercitations
  • 2019High precious phase diagrams – a roadmap for a successful casting processingcitations
  • 2016HT-LSCM - A valuable tool for surface microstructure investigationscitations
  • 2012Hot deformation behaviour of low alloyed steel2citations
  • 2012Influence of Strain Rate on Hot Ductility of a V-Microalloyed Steel Slab21citations

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Chart of shared publication
Thiele, Kathrin
5 / 10 shared
Truschner, Christoph
3 / 3 shared
Walkner, Christoph
5 / 7 shared
Michelic, Susanne
5 / 27 shared
Meisel, Thomas
4 / 10 shared
Rössler, Roman
5 / 14 shared
Prohaska, Thomas
2 / 6 shared
Bernhard, Christian
10 / 53 shared
Kavić, Daniel
1 / 1 shared
Presoly, Peter
4 / 25 shared
Hahn, Susanne
4 / 5 shared
Park, Won-Bum
1 / 3 shared
Kang, Youn-Bae
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Bernhard, Michael Christian
5 / 18 shared
Laschinger, Julian
1 / 2 shared
Preuler, Lukas
4 / 4 shared
Taferner, Matthias
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Santos, Gabriel
2 / 2 shared
Wieser, Gerhard
1 / 1 shared
Six, Jakob
2 / 2 shared
Sommitsch, Christof
1 / 71 shared
Gontijo, Marina
1 / 1 shared
Primig, Sophie
1 / 5 shared
Louhenkilpi, Seppo
1 / 7 shared
Peyha, Mario
1 / 2 shared
Weiß, Christian
1 / 3 shared
Pennerstorfer, Paul
1 / 1 shared
Fuchs, Nora
1 / 7 shared
Xia, Guangmin
1 / 1 shared
Krobath, Roman
1 / 5 shared
Großeiber, Simon
2 / 2 shared
Degischer, Hans Peter
2 / 5 shared
Poletti, Maria Cecilia
2 / 79 shared
Harrer, Bernhard
1 / 1 shared
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Co-Authors (by relevance)

  • Thiele, Kathrin
  • Truschner, Christoph
  • Walkner, Christoph
  • Michelic, Susanne
  • Meisel, Thomas
  • Rössler, Roman
  • Prohaska, Thomas
  • Bernhard, Christian
  • Kavić, Daniel
  • Presoly, Peter
  • Hahn, Susanne
  • Park, Won-Bum
  • Kang, Youn-Bae
  • Bernhard, Michael Christian
  • Laschinger, Julian
  • Preuler, Lukas
  • Taferner, Matthias
  • Santos, Gabriel
  • Wieser, Gerhard
  • Six, Jakob
  • Sommitsch, Christof
  • Gontijo, Marina
  • Primig, Sophie
  • Louhenkilpi, Seppo
  • Peyha, Mario
  • Weiß, Christian
  • Pennerstorfer, Paul
  • Fuchs, Nora
  • Xia, Guangmin
  • Krobath, Roman
  • Großeiber, Simon
  • Degischer, Hans Peter
  • Poletti, Maria Cecilia
  • Harrer, Bernhard
OrganizationsLocationPeople

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