Skip to content
Apex
All customers
Case study · Materials science · Aether for materials science

Helix Turbine

Hit a creep-life target with an alloy the database didn't contain.

Headline
Target-first
composition designed to the spec, not searched
Inverse
property → composition, not the reverse
5-way
physics gates before any melt
1 campaign
shortlist → validated heat

Background

Helix designs hot-section turbine components and had spent two years screening nickel superalloys for a blade running hotter than their existing grades allowed. Their workflow was a property database and a CALPHAD seat — good at telling them what known alloys do, useless at proposing one that didn't exist yet.

The challenge

The requirement was a creep-life and oxidation target at a temperature past their qualified envelope, under castability and cost constraints. Searching a fixed library couldn't get there; they needed synthesis — a composition designed to the target — without burning a year of melts chasing candidates that fail basic physics.

What we did

  • Ran inverse design against the creep, oxidation, density and cost targets, with castability and supply constraints as hard gates.
  • Each candidate passed five physics checks — phase stability via CALPHAD rules, γ′ fraction, PHACOMP TCP screen, Larson-Miller creep and a cost model — before it was allowed onto the shortlist.
  • The trained property ensemble ranked the survivors with calibrated uncertainty; CHGNet relaxation sanity-checked the structures.
  • Helix took the top three to the foundry; the model flagged one as the lowest-risk castable and said so.
In their words

“It designed an alloy to our target instead of finding the closest one that already existed. That's a different kind of tool.”

— Principal Metallurgist, Helix Turbine

The outcome

  • The recommended composition met the creep-life target in test, with the model's stated uncertainty bracketing the measured result.
  • Two of three candidates were castable on the first heat; the third failed exactly the way the model's flagged risk predicted.
  • The blade programme moved to qualification a full design cycle earlier than the screen-the-library approach would have allowed.
  • Inverse design is now the default first step for new alloy targets, with the database relegated to a sanity check.

One detail worth calling out

What sold the metallurgists was the honesty of the funnel. The model didn't return a single confident answer; it returned a Pareto set with the trade-offs named — this one is stronger but harder to cast, that one is cheaper but closer to the oxidation limit — and an explicit note on which it would not vouch for without a DFT escalation. That matched how they already thought.

What would the same conversation look like for you?

Tell us the workload, the deadline, and the licence you'd retire. We'll come back with a scoped pilot.