Indentation plastometry for local FEM material input
Improve simulation quality by generating mechanical input data closer to the real component and its actual local behaviour. Indentation plastometry helps engineering teams replace assumptions with better-resolved local material data.
Fig. - Better local measurement supports more credible simulation input.
Why is global specimen data often not enough for FEM?
Simulation quality depends directly on the quality of the material input. In many development projects, FEM models still rely on global specimen data that does not fully reflect local variations within the component. This becomes critical in welded zones, treated surfaces, gradients and complex material transitions.
When the real part contains local changes, global averages can hide the behaviour that matters most for the engineering decision. Indentation plastometry addresses exactly that gap by generating local data from relevant positions on the part itself or from representative local zones.
What kind of local material input can indentation plastometry provide?
The i3D workflow combines local indentation, optical 3D measurement and inverse evaluation to derive yield strength, tensile strength and flow-curve related material data. That creates a stronger bridge between testing and simulation than a simple hardness value or an assumed average material model.
Local yield strength instead of one global reference value
Local tensile-strength information closer to the real zone
Flow-curve related data for better-resolved modelling
Point-specific input across transitions, gradients and weld areas
"Better local data creates better model assumptions and more reliable development decisions."
Which component zones benefit most from local flow-curve data?
Local FEM input is particularly valuable where the component does not behave like a uniform specimen. Typical examples include welds and heat-affected zones, treated surfaces, graded materials, transitions between different material states and thin or small part regions where local behaviour dominates.
Welds and heat-affected zones
Surface-treated or locally hardened regions
Material gradients and multimaterial transitions
Representative local zones on real parts
How does local testing improve model fidelity?
Better local input does not only improve technical accuracy. It also reduces uncertainty in validation and iteration loops. Engineers can refine assumptions earlier, compare local concepts more realistically and validate designs with more confidence because the material model is closer to the actual component condition.
How can testing and simulation be linked more directly?
Select relevant zones: identify where local behaviour matters mechanically.
Measure point by point: generate indentation-based local data on those zones.
Translate into input: use the evaluated flow-curve related data for model refinement.
Validate assumptions: compare simulated behaviour against the actual local material state.
Fig. - Local material input is especially valuable in welded and transition-dominated structures.
