Determining material properties

Determining material properties for material cards

The challenge

Simulations play an important role in additive manufacturing. Most 3D printed parts have complex geometries, which allow the part to withstand complex stresses. Only a simulation can deliver the necessary understanding of the part’s structural behavior under stress. Precise material models are needed for this kind of simulation. They have to simulate the material behavior as realistically as possible.

Before material modeling can take place, the material properties must be determined. Nowadays, designing simulation models is much more complex and requires not only the classic material properties used in the printing process, but additional properties as well, such as the lattice parameters of the support structures.

The required material properties are obtained through test procedures, such as tensile, pressure, bending, shear and torsion tests. The test results are documented in material cards.


The solution

The ARAMIS system helps you to identify relevant material properties efficiently: Engineers obtain optical and 3D information about the deformations produced in these tests over the entire surface area of the material sample. This enables the engineers to identify important material properties, such as Young’s modulus, the Rp02 yield strength, stability, anisotropy and nonlinearity. Engineers can also use the system to assess the strain fields and strain distribution on the rods and nodes of the support structure. This in turn enables them to determine the lattice parameters, which are important for 3D printed parts.

A material card with this information provides more reliable input parameters for the simulation computations. This ensures that:

1. The simulations deliver realistic results,

2. The part is designed based on its properties,

3. The design ensures the necessary part safety.

Conclusion: This process considerably shortens development times and test runs.

 

The benefits

Efficient production
of accurate material cards
Realistic simulation results,
thanks to reliable input parameters
Precise material models
for complex simulations

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