Materials Center Leoben Forschung GmbH

Modeling of material behavior

Our simulation team supports you with validated material models, proven calculation routines, and customized simulations with advanced material models.

The MCL is your point of contact for modeling complex material behavior. We combine years of experience in materials testing with in-depth expertise in numerical modeling to achieve realistic and reliable results.

Let's work together to describe your material behavior — for safe and reliable products.

We offer solutions for:

 

  • Modeling of complex material behavior (elasto-plastic material behavior)

    Reliable material models with material data from our in-house material testing for more accurate prediction of material behavior, developed for use in simulations and process optimization

     

  • Material modeling at the atomic level

    Prediction of thermodynamic and mechanical properties of materials at the atomic level

     

  • Determination of material properties that cannot be measured directly

    Elastic behavior of films and thin layers, cyclic plasticity of microcomponents, determination of manufacturing-related residual stresses through back calculation, and stress analysis of complex experiments

 

 

Our services in detail

Modeling of complex material behavior (elasto-plastic material behavior)

Modeling complex material behavior

The MCL simulation team is happy to provide ready-made material calculation routines and material model parameters for use in your simulation department, as well as performing calculations for you using advanced material models.

  • Material modeling based on recorded test data – for complex tests, we use inverse optimization to determine the model parameters

  • Temperature-dependent cyclic elasto-(visco)plastic material behavior:
    Phase transformation models, latent heat, grain growth, transformation plasticity.

  • Development of new, customized material models

  • Fatigue, ductile damage, and fracture

  • Metallic alloys (steel, iron, copper, aluminum, titanium, nickel, etc.), ceramics, composite materials, and composite materials

Applications:

  • A typical application area for nonlinear material laws is the calculation of run-in behavior due to cyclic plasticity (shakedown, build-up of residual stresses), which plays an important role in low-cycle fatigue (LCF) and thermomechanical fatigue (TMF).
  • Uncoupled or coupled damage calculation and surface compaction of powder metallurgical (PM) components are further areas of application for advanced material modeling.

Material models we use to describe your material

  • Isotropic and kinematic hardening
  • Creep and strain rate dependence
  • Chaboche model (elasto-plastic or elasto-viscoplastic)
  • Damage models (e.g., Lemaitre, Hancock & Mackenzie, Gurson, Sehitoglu, etc.)
  • Implementation of material models in various FE software packages (Abaqus, Ansys, Deform, etc.)

 

Determination of material parameters

  • Test execution (tension-compression, bending, torsion, temperature, residual stresses)
  • Material parameter adjustment for many material models
Computational Materials Design

Computational Materials Design

The atomic modeling group specializes in predicting material properties using ab initio methods.

Our main areas of focus are:

  • Thermodynamic constants
  • Mechanical material properties
  • Interface design

Our range of services:

  • Temperature-dependent thermal expansion coefficients
  • Elastic properties (elastic tensor, macroscopic elastic moduli) as a function of chemical composition
  • Grain boundary segregation and grain boundary strength
Experiments combined with simulations

Experiments combined with simulations

Supporting complex experiments with simulations and determining material properties that cannot be measured directly.

Our focus areas / areas of expertise

  • Determination of material properties that cannot be measured directly: elastic behavior of films and thin layers, cyclic plasticity of microcomponents

  • Determination of manufacturing-related residual stresses by back calculation using cut compliance methods

  • Load analysis of complex experiments: digital twins, digital shadows

  • Statistical test planning and evaluation

Material modeling - Your direct contact

Competent contacts who understand your project — and lead it to success.

Martin Krobath, BSc Service Solution Manager

Dr. Hans-Peter Gänser

Dr. Julien Magnien Service Solution Manager