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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693.932 PEOPLE
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Tulke, Marc

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023Forming of aluminium alloys with macro-structured tools at cryogenic temperature5citations
  • 2023Contact conditions and temperature distribution during cryogenic deep drawing with macro-structured tools2citations
  • 2022Influence of Macro-Structured Tools on the Formability of Aluminum Alloys in the Cryogenic Temperature Range3citations
  • 2022Deep drawing of DC06 at high strain rates2citations
  • 2022Local Temperature Development in the Fracture Zone during Uniaxial Tensile Testing at High Strain Rate: Experimental and Numerical Investigations3citations
  • 2021Cryogenic deep drawing of aluminum alloy AA6014 using macro-structured tools3citations
  • 2021Data based model predictive control for ring rolling9citations
  • 2020Determination of Material and Failure Characteristics for High-Speed Forming via High-Speed Testing and Inverse Numerical Simulation15citations
  • 2019Non-linear Model-predictive-control for Thermomechanical Ring Rollingcitations

Places of action

Chart of shared publication
Brosius, Alexander
8 / 48 shared
Lafarge, Rémi
3 / 7 shared
Wolf, Alexander
3 / 8 shared
Grunow, Fabius
1 / 1 shared
Kräusel, Verena
2 / 29 shared
Galiev, Elmar
2 / 5 shared
Psyk, Verena
3 / 47 shared
Reuther, Franz
1 / 5 shared
Winter, Sven
2 / 19 shared
Brosius, A.
1 / 61 shared
Hütter, Sebastian
1 / 1 shared
Halle, Thorsten
1 / 10 shared
Guilleaume, Christina
2 / 7 shared
Scheffler, Christian
1 / 16 shared
Chart of publication period
2023
2022
2021
2020
2019

Co-Authors (by relevance)

  • Brosius, Alexander
  • Lafarge, Rémi
  • Wolf, Alexander
  • Grunow, Fabius
  • Kräusel, Verena
  • Galiev, Elmar
  • Psyk, Verena
  • Reuther, Franz
  • Winter, Sven
  • Brosius, A.
  • Hütter, Sebastian
  • Halle, Thorsten
  • Guilleaume, Christina
  • Scheffler, Christian
OrganizationsLocationPeople

document

Non-linear Model-predictive-control for Thermomechanical Ring Rolling

  • Tulke, Marc
  • Guilleaume, Christina
  • Brosius, Alexander
Abstract

The authors present a new ring rolling variant that combines a semi-warm forming process of a bearing ring with controlled cooling directly followed by a cold forming process. The aim is to produce near net shape rings with a selected microstructure and high strength without additional consecutive heat treatment. To achieve this, a new and fast control strategy is necessary that not only controls the geometrical forming of the ring, but also considers temperature development and microstructure formation. The proposed control strategy is based on the application of a fast semi-analytical simulation model with a very short response time in combination with a FE-analysis of the thermomechanical ring rolling process. The semi-analytical model is used as a predictor and a parallel FEA or experimental results as a corrector for the control model. The aim is to correctly identify transient process parameters needed to achieve defined product properties as a basis for a later implementation in a non-linear model-predictive-control of thermomechanical ring rolling. The new approach will be described in detail and demonstrated numerically and experimentally.

Topics
  • impedance spectroscopy
  • microstructure
  • simulation
  • strength
  • forming
  • finite element analysis