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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2022Analysis of the interactions between joint and component properties during clinching8citations
  • 2021A New Non-destructive Testing Method Applied to Clinching1citations
  • 2021Residual stress oriented joining of hybrid components by radial-rolling1citations
  • 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
  • 2019Simulation methods for skew rolling6citations
  • 2018Investigation of Alternative Polymer Composite Materials for Forming Applications ; Untersuchung alternativer polymerer Verbundwerkstoffe für Anwendungen der Umformtechnikcitations

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Chart of shared publication
Steinfelder, Christian
1 / 1 shared
Acksteiner, Johann
1 / 1 shared
Brosius, Alexander
6 / 48 shared
Lafarge, Rémi
1 / 7 shared
Wolf, Alexander
1 / 8 shared
Kaestner, Markus
1 / 2 shared
Kuehne, David
1 / 1 shared
Tulke, Marc
2 / 9 shared
Psyk, Verena
1 / 47 shared
Winter, Sven
1 / 19 shared
Scheffler, Christian
1 / 16 shared
Brosius, A.
1 / 61 shared
Mousavi, Ali
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Co-Authors (by relevance)

  • Steinfelder, Christian
  • Acksteiner, Johann
  • Brosius, Alexander
  • Lafarge, Rémi
  • Wolf, Alexander
  • Kaestner, Markus
  • Kuehne, David
  • Tulke, Marc
  • Psyk, Verena
  • Winter, Sven
  • Scheffler, Christian
  • Brosius, A.
  • Mousavi, Ali
OrganizationsLocationPeople

document

Determination of Material and Failure Characteristics for High-Speed Forming via High-Speed Testing and Inverse Numerical Simulation

  • Tulke, Marc
  • Guilleaume, Christina
  • Psyk, Verena
  • Brosius, Alexander
  • Winter, Sven
  • Scheffler, Christian
Abstract

In conventional forming processes, quasi-static conditions are a good approximation and numerical process optimization is the state of the art in industrial practice. Nevertheless, there is still a substantial need for research in the field of identification of material parameters. In production technologies with high forming velocities, it is no longer acceptable to neglect the dependency of the hardening on the forming speed. Therefore, a method for determining material characteristics in processes with high forming speeds was developed by designing and implementing a test setup and an inverse parameter identification. Two acceleration concepts were realized: a pneumatically driven one and an electromagnetically driven one. The method was verified for a mild steel and an aluminum alloy proving that the identified material parameters allow numerical modeling of high-speed processes with good accuracy. The determined material parameters for steel show significant differences for different stress states. For specimen geometries with predominantly uniaxial tensile strain at forming speeds in the order of 10(4)-10(5)/s the determined yield stress was nearly twice as high compared to shear samples; an effect which does not occur under quasi-static loading. This trend suggests a triaxiality-dependent rate dependence, which might be attributed to shear band induced strain localization and adiabatic heating.

Topics
  • impedance spectroscopy
  • simulation
  • aluminium
  • steel
  • forming