Simulation for phenomena of microstructure evolution

The microstructural state of metallic parts plays a major role on in-use properties and on the mechanical behavior during metal forming.
It becomes necessary to master grain size during forming processes to fulfill always more severe specifications and to address efficiently new markets


What are your issues? How can simulation help you?


Predicting microstructure evolutions

To anticipate microstructure evolutions that occur during your forging or foundry processes.


Mastering metallurgical properties

To know which treatment apply to your metal alloys and optimize your process parameters.


Developing high performing parts

To improve the mechanical properties of your final parts.

Predicting microstructural evolutions

DIGIMU_metal_formingIn R&D as in industries, it becomes necessary to control metallurgical properties of the materials used to form parts with high performance mechanical properties.

During forging or heat treatment processes, predict metal alloys microstructure evolution, in other word grain size and other phenomena, is a very competitive advantage. To predict these phenomena, simulation becomes an essential tool.

Transvalor offers its DIGIMU® software to simulate microstructural evolutions of metal alloys on a macro or mesoscopic scale, from the thermomechanical path undergone during the metal forming or the heat treatment.

Discover our solution

Getting competitive advantages

DIGIMU_croissance_grainsMicrostructural evolution simulation allows you to add value to your processes and products.

  • Enhance products’ quality
  • Assist developments of high-end alloys
  • Import initial microstructure directly from micrograph
  • Control grain size
  • Understand the impact of second phase particles
  • Predict abnormal grain growth
  • Master industrial risks

Modeling complex physical laws

DIGIMU_meshing_zener_pinningFor now, there is no unique simulation solution that satisfy immediately all industrial inquiries.

A model rather based on physical laws could be both more expensive to identify and more onerous on computation time. However, once identified, its identification field will be more important. On the other hand, a model rather based on phenomena, will be able to respond to certain problematics more quickly and for a computation less onerous, but only if we remain in a very limited field of application. It is therefore necessary, in order to take the best out of current tools, to be able to move between the different scales according to your needs.

Then, Transvalor has decided to offer you three levels of modeling within its software DIGIMU®, presented here in an increasing level of precision:
  • JMAK models (Johnson-Mehl-Avrami-Kolmogorov) directly follow the evolution of mean field values such as mean grain size, mean recrystallized fraction, mean dislocation densities, and more.
  • Mean Field models follow a grain population. Even if the topology is not explicitly represented, the evolution of each grain is modeled using many physical laws, then average values are deduced.
  • Full Field models are used to model polycrystalline evolution on the polycrystal scale, giving exactly the shape and the neighborhood of the grains.

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Targeted techniques


Grain growth




Hardening, recovering


Nucleation, nuclei growth

Targeted industries

And many more


DIGIMU® for the Aerospace Industry

Our software provides assistance in the development of high performance alloys and parts through the prediction of microstructural phenomena.


DIGIMU® for Steelmaking

DIGIMU® allows to understand which metal alloys to use and the impact of the treatments applied to them.


DIGIMU® for the Energy Sector

Simulation helps to control industrial risks related to the microstructure of the materials and their applications.