Indentation plastometry · Alloy development

Indentation plastometry for alloy development and material screening

Screen more variants earlier and shorten the path from alloy concept to validated decision. Indentation plastometry helps R&D teams generate local yield strength, tensile strength and flow-curve related data with far less specimen effort than conventional tensile campaigns.

Discuss a screening campaign
High-throughput indentation plastometry for alloy development and screening
Fig. - High-density screening with indentation plastometry across multiple sample states.

Why does alloy development need faster mechanical screening?

Progress in alloy development depends on how quickly promising material variants can be screened, compared and refined. Conventional tensile campaigns provide valuable reference data, but they are often too slow, too expensive and too specimen-intensive to support fast early-stage screening across many variants.

Indentation plastometry closes that gap. Instead of waiting for a limited number of global specimen results, development teams can work with denser local data from representative positions on real samples and move from material idea to next decision far more quickly.

How does indentation plastometry accelerate multisample screening?

The workflow combines one local indentation, optical 3D measurement and inverse FEM evaluation. That turns a small, part-preserving imprint into engineering-relevant material data for screening campaigns. The value is not only higher speed, but also more useful comparison between different sample states, compositions and process routes.

  • More variants can be screened earlier in the programme.
  • Weak directions become visible sooner.
  • Fewer expensive destructive tests are needed for the first decision loops.
  • Project teams get faster feedback for the next development step.

Which material data can be generated for alloy comparison?

The method is built for more than a single hardness-like number. Depending on the workflow and alloy family, the evaluation provides local yield strength, local tensile strength, plastic flow-curve related information and, for selected alloys, ductility descriptors. That gives R&D teams a richer decision basis than simple pass-fail screening.

What does the shown screening case demonstrate?

The existing application material is commercially strong because it ties the method directly to screening productivity. In the shown case, the workflow covered a large sample set with automated characterisation and substantially lower cost than conventional tensile testing.

Shown case metric Value
Samples 12
Plastic stress-strain curves 62
Automated characterisation time About one hour
Cost reduction versus tensile testing About 70-90% in the shown case
"This is not just a test result. It is a shorter route from material idea to validated decision."

Which development tasks benefit most from this workflow?

  • Alloy development and multisample screening
  • LPBF and additive manufacturing studies
  • Heat-treatment comparison
  • Process-route comparison
  • Small samples and limited-volume material states
Multisample screening campaign for alloy comparison
Fig. - Comparative screening supports faster parameter and alloy decisions.

How does the workflow move from one indent to engineering-relevant data?

  1. Create the indentation: a force-controlled indent defines the local test point.
  2. Measure the geometry: optical 3D capture records the residual indentation shape.
  3. Run inverse FEM: the measured geometry is matched with simulated behaviour.
  4. Use the output: the result becomes a local material statement for comparison and screening decisions.

For the broader method background, see our indentation plastometry overview. If you are planning in-house automation later, the i3D system portfolio shows how these workflows move into the lab.

Related indentation plastometry applications

Method overview
FEM material input from indentation plastometry

Simulation · Local material input

Local FEM material input

Flow-curve data and local strength values for more credible models and validation work.

Point-by-point characterisation of local gradients

Local mapping · Transition zones

Gradients and transitions

Resolve property changes point by point across treated, joined or graded material zones.

Authors · Contributors

Testawell editorial team, Peter Zok

Peter Zok

Peter Zok

Applications – Materials Testing

Testawell

15 years of experience in materials testing.

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