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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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)

  • 2022Accurate numerical prediction of thermo-mechanical behaviour and phase fractions in SLM components of advanced high strength steels for automotive applications4citations

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Kasprowicz, Marcin
1 / 1 shared
Bohlen, Jan
1 / 34 shared
Pawlak, Andrzej
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Chlebus, Edward
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Höfemann, Matthias
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Venkata, Kiranmayi Abburi
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Schob, Bernd
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Zopp, Camilo
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2022

Co-Authors (by relevance)

  • Kasprowicz, Marcin
  • Bohlen, Jan
  • Pawlak, Andrzej
  • Chlebus, Edward
  • Höfemann, Matthias
  • Venkata, Kiranmayi Abburi
  • Schob, Bernd
  • Zopp, Camilo
  • Uppaluri, Rohith
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article

Accurate numerical prediction of thermo-mechanical behaviour and phase fractions in SLM components of advanced high strength steels for automotive applications

  • Kasprowicz, Marcin
  • Bohlen, Jan
  • Pawlak, Andrzej
  • Chlebus, Edward
  • Höfemann, Matthias
  • Venkata, Kiranmayi Abburi
  • Schob, Bernd
  • Zopp, Camilo
  • Kordass, Richard
  • Uppaluri, Rohith
Abstract

<jats:p>Conventional crash absorber in automotive applications, so called crash boxes are fabricated via deep drawn sheet metal resulting in significant lead times and costs. Laser Powder Bed Fusion processes, like Selective Laser Melting (SLM) offer an attractive alternative for the fabrication of crash parts while eliminating any need for costly forming dies and reducing the lead times, provided required material properties are achieved. Reliable numerical simulation model to predict the SLM build process with greater spatial resolution and accuracy is indispensable to understand the process further in order to ensure its applicability to crash structures. In this paper, an improved simulation methodology for SLM process is presented to predict the material behaviour via temperature, deformation, hardening, flow stress and phase fractions throughout the component with increased accuracy and greater resolution. To achieve desired spatial resolution, the equivalent layers are subdivided into individual tracks, which are then deposited sequentially to simulate the printing process. The material is a medium manganese (7­-8 %) transformation induced plasticity (TRIP) steel with austenite and martensite primary phases. The multiple solid-state phase transformation cycles undergone by the material are modelled in the simulation and the final phases are predicted. The results indicate improved accuracy and higher resolution in predictions for temperature, phase fractions and deformation.</jats:p>

Topics
  • impedance spectroscopy
  • phase
  • simulation
  • strength
  • steel
  • selective laser melting
  • forming
  • plasticity
  • Manganese