OpenPhase example

Tempered Martensite

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Keywords

Superalloys Dislocations Rafting Crystal plasticity Phase-field method

  • Determine martensite start and finish dependent on the quenching rate.
  • Tailor amount and distribution of carbides.
  • Optimize the heat treatment for each specific steel grade.
  • Determine flow curves of tempered martensite.
  • Trace all relevant microstructural features during processing and service.

Mechanical properties of steel vary dependent on the heat treatment process. An exceptional examples is tempered martensite where the mechanical properties can be tuned from for high hardness, high strength, wear resistance, and corrosion resistance of the martensitic structure to good ductility and toughness of almost ferritic structure with precipitated carbides. Simulating the evolution of the microstructure "from quenching to fracture" enables you to tailor your process to the required mechanical properties appropriate to the intended use. which prevents gamma prime from merging.

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OpenPhase capabilities

  • Martensite start is predicted based on driving forces to transformation using alloy thermodynamics
  • Martensite finish is determined by transformation kinetics
  • Internal heat release due to transformation is considered
  • Results are transformed to virtual dilatometer curves

  • Multiple modules for carbide nucleation (random statistics, dedicated sites, interfaces, junctions, local residual strain)
  • Growth stage based on local carbon supersaturation and tetragonal distortion relaxation
  • Ripening stage determined by multi-component diffusion and solute element cross-interaction
  • Consideration of lattice strain effects on diffusion, coherency strain, and coherency loss during growth

  • Investigate system response to different heat extraction conditions
  • Tailor heat extraction through inverse optimization
  • Test nucleation conditions of various carbide populations and competitive growth
  • Investigate microalloying effects on precipitation and mechanical stability

  • Optimize crystal plasticity models with sparse experimental input
  • Interpolate and extrapolate flow rules for FE analysis at sample scale
  • Determine rules as a function of local alloy composition
  • Tailor heat treatment process for optimized mechanical response

Microstructure
Variants
  • Automatically monitor size and distribution of all microstructural elements
  • Apply autocorrelation functions for application-specific materials characteristics
  • Provide 3-D information for correlation with 2-D experimental micrographs
Auto-correlation
Figure: Autocorrelation plots at the center of the correlation matrix

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