Stochastic and systematic deviations of creep experiments in martensitic steels

Activity: Talk or presentationContributed talkscience-to-science

Description

Extrapolating the lifetime of creep exposed materials is difficult, and a lot of strategies are provided for this task. Since tests can last up to 10+ years, the main challenge is to estimate the long-term behavior of the materials in question out of short-term experiments with the help of materials modeling in order to save time and experimental costs. However, one of the most important input parameters for the success of this strategy are thoroughly obtained experimental creep data. Literature sources indicate a huge scatter between results stemming from apparently identical creep experiments. Potential reasons for deviating results include slightly different material starting condition including composition and heat treatment, general inhomogeneity within a block of produced material, deviations from the nominal testing temperature, oxidation at the sample surface, interruptions of the creep tests etc. The presented research is examining residual impact factors within satisfying the standard for creep testing. A set of identical creep experiments (same temperature, stress, source of material etc.) with the material P91 is set up. The varying parameters in the study are the sample diameter, measuring type (interrupted and uninterrupted) and sample preparation order (heat treatment/machining). It is shown to what extent the variation of these parameters can lead to systematically varying results in the creep experiment. The results of the experiments are discussed, as well as potential strategies for reasonable accuracy of creep modelling.
Period23 May 2023
Event title6th International ECCC Creep & Fracture Conference
Event typeConference
LocationUnited KingdomShow on map

Fields of science

  • 103009 Solid state physics
  • 103018 Materials physics
  • 203 Mechanical Engineering
  • 211101 Iron and steel metallurgy
  • 211103 Physical metallurgy
  • 211105 Nonferrous metallurgy
  • 103042 Electron microscopy
  • 203024 Thermodynamics
  • 203002 Endurance strength
  • 203013 Mechanical engineering
  • 203034 Continuum mechanics
  • 102022 Software development
  • 203037 Computational engineering
  • 103043 Computational physics
  • 101028 Mathematical modelling
  • 103006 Chemical physics
  • 102001 Artificial intelligence
  • 105113 Crystallography
  • 101014 Numerical mathematics
  • 205019 Material sciences
  • 203007 Strength of materials

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management