Materials Map

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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Numerical parameter sensitivity analysis of residual stresses induced by deep rolling for a 34CrNiMo6 steel railway axle5citations
  • 2023Experimental and numerical investigation of the deep rolling process focussing on 34CrNiMo6 railway axles7citations

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Chart of shared publication
Buzzi, Christian
2 / 6 shared
Leitner, Martin
2 / 66 shared
Pertoll, Tobias
2 / 2 shared
Seisenbacher, Benjamin
1 / 7 shared
Winter, Gerhard
1 / 7 shared
Dutzler, Andreas
1 / 2 shared
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2024
2023

Co-Authors (by relevance)

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