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 (7/7 displayed)

  • 2023Impacts of nano-clay particles and heat-treating on out-of-phase thermo-mechanical fatigue characteristics in piston aluminum-silicon alloys4citations
  • 2023Experimental and numerical investigation of the deep rolling process focussing on 34CrNiMo6 railway axles7citations
  • 2022Very high cycle fatigue assessment at elevated temperature of 100 µm thin structures made of high-strength steel X5CrNiCuNb16-43citations
  • 2020Evaluation of tensile and low-cycle fatigue properties at elevated temperatures in piston aluminum-silicon alloys with and without nano-clay-particles and heat treatment31citations
  • 2020Material behaviour of a dual hardening steel under thermomechanical loading6citations
  • 2020Influence of specimen diameter size on the deformation behaviour and short-term strength range of an aluminum alloycitations
  • 2017Simulation of lamellar cast iron components under TMF-loads2citations

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Chart of shared publication
Bahmanabadi, Hamed
2 / 2 shared
Azadi, Mohammed
1 / 1 shared
Dadashi, Ali
1 / 1 shared
Torkian, Jahangir
1 / 1 shared
Parast, M. S. Aghareb
1 / 1 shared
Grün, Florian
6 / 41 shared
Seisenbacher, Benjamin
4 / 7 shared
Buzzi, Christian
1 / 6 shared
Leitner, Martin
1 / 66 shared
Dutzler, Andreas
1 / 2 shared
Pertoll, Tobias
1 / 2 shared
Boronkai, László
1 / 2 shared
Kiesling, Constantin
1 / 1 shared
Himmelbauer, Florian
1 / 1 shared
Azadi, Mohammad
1 / 4 shared
Hofinger, Matthias
1 / 4 shared
Klösch, Richard
1 / 1 shared
Strohhäussl, Bernd
1 / 1 shared
Stoschka, Michael
1 / 29 shared
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2023
2022
2020
2017

Co-Authors (by relevance)

  • Bahmanabadi, Hamed
  • Azadi, Mohammed
  • Dadashi, Ali
  • Torkian, Jahangir
  • Parast, M. S. Aghareb
  • Grün, Florian
  • Seisenbacher, Benjamin
  • Buzzi, Christian
  • Leitner, Martin
  • Dutzler, Andreas
  • Pertoll, Tobias
  • Boronkai, László
  • Kiesling, Constantin
  • Himmelbauer, Florian
  • Azadi, Mohammad
  • Hofinger, Matthias
  • Klösch, Richard
  • Strohhäussl, Bernd
  • Stoschka, Michael
OrganizationsLocationPeople

article

Experimental and numerical investigation of the deep rolling process focussing on 34CrNiMo6 railway axles

  • Seisenbacher, Benjamin
  • Winter, Gerhard
  • Buzzi, Christian
  • Leitner, Martin
  • Dutzler, Andreas
  • Pertoll, Tobias
  • Boronkai, László
Abstract

<p>Deep rolling is a powerful tool to increase the service life or reduce the weight of railway axles. Three fatigue-resistant increasing effects are achieved in one treatment: lower surface roughness, strain hardening and compressive residual stresses near the surface. In this work, all measurable changes introduced by the deep rolling process are investigated. A partly deep-rolled railway axle made of high strength steel material 34CrNiMo6 is investigated experimentally. Microstructure analyses, hardness-, roughness-, FWHM- and residual stress measurements are performed. By the microstructure analyses a very local grain distortion, in the range &lt; 5 µm, is proven in the deep rolled section. Stable hardness values, but increased strain hardening is detected by means of FWHM and the surface roughness is significantly reduced by the process application. Residual stresses were measured using the XRD and HD methods. Similar surface values are proven, but the determined depth profiles deviate. Residual stress measurements have generally limitations when measuring in depth, but especially their distribution is significant for increasing the durability of steel materials. Therefore, a numerical deep rolling simulation model is additionally built. Based on uniaxial tensile and cyclic test results, examined on specimen machined from the edge layer of the railway axle, an elastic–plastic Chaboche material model is parameterised. The material model is added to the simulation model and so the introduced residual stresses can be simulated. The comparison of the simulated residual stress in-depth profile, considering the electrochemical removal, shows good agreement to the measurement results. The so validated simulation model is able to determine the prevailing residual stress state near the surface after deep rolling the railway axle. Maximum compressive residual stresses up to about -1,000 MPa near the surface are achieved. The change from the induced compressive to the compensating tensile residual stress range occurs at a depth of 3.5 mm and maximum tensile residual stresses of + 100 MPa at a depth of 4 mm are introduced. In summary, the presented experimental and numerical results demonstrate the modifications induced by the deep rolling process application on a railway axle and lay the foundation for a further optimisation of the deep rolling process.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • grain
  • x-ray diffraction
  • simulation
  • strength
  • steel
  • fatigue
  • hardness
  • durability