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Plyoq Layup & Fiber Placement Voidra Defect Sensing & NDT Curevo Cure & Consolidation Strandix Laminate & Cure Digital Twin Roboply Robotics & Handling Yieldex Yield & Orchestration Request a pilot
Laminate & Cure Digital Twin

Strandix

Hit target strength before the cure — the composites digital twin.

A GPU-accelerated laminate-and-cure digital twin that simulates fiber placement, compaction, cure kinetics, exotherm, residual stress and structural strength — so a layup and cure recipe is validated and auto-optimized to hit target strength and yield before the cure.

TARGET ALLOWABLE PREDICTED STRENGTH (MPa) P(hit) 0.98
0.98
P(hit strength)
before committing carbon
Faster iteration
vs build-and-test
0
Scrapped test parts
to find a recipe
0%
Recipes pushed
as envelopes to Plyoq & Curevo
The problem

Why this step condemns parts

Composite parts are qualified by building and testing them — an expensive, slow loop where a laminate’s true strength is only known after layup, cure and destructive coupon testing. Engineers cannot see, before committing carbon fiber and autoclave energy, whether a given layup and cure recipe will consolidate fully and hit target strength and yield. Process design stays conservative and iteration is measured in weeks and scrapped parts.

Curelum closes the loop
Hit target strength before the cure — the composites digital twin.
— Strandix, part of the Curelum autonomy platform
How it works

A closed perceive → decide → act loop

No open-loop hoping. Strandix senses, reasons against the qualified envelope, acts within bounds, and logs every action.

Simulate placement

The twin models fiber placement, steering and compaction to predict as-built ply geometry.

Simulate cure

Cure kinetics, exotherm, consolidation and residual stress are simulated across the cycle.

Predict strength

Structural strength and allowables are predicted for the as-built, as-cured laminate.

Auto-optimize & push

The recipe is optimized in Omniverse for strength, yield, cycle time and energy — then pushed as control envelopes to Plyoq and Curevo.

Capabilities

What Strandix does on the line

End-to-end simulation

Placement → compaction → cure → residual stress → strength, in one twin.

Recipe auto-optimization

Optimizes for target strength, yield, cycle time and energy.

Synthetic rare-defect data

Generates rare porosity, wrinkle, FOD and cure-fault scenarios via Cosmos.

GPU-accelerated

Omniverse + accelerated compute for fast, high-fidelity runs.

Closed to the floor

Validated envelopes flow directly to layup and cure control.

Qualification evidence

Model-validation records for NPI and airworthiness sign-off.

TARGET ALLOWABLE PREDICTED STRENGTH (MPa) P(hit) 0.98
Read the process

Instrumented, not guessed

Every Strandix readout maps to a real measurement on the floor — tow geometry, cure trajectory, C-scan integrity, or predicted strength. The interface is precision test equipment: numbers you can certify, not a dashboard of vanity charts.

  • Grounded, auditable outputs on every action
  • Bounded control envelopes from the Strandix twin
  • Human-in-the-loop on flight-critical decisions
  • Immutable audit trail for AS9100 / NADCAP
Specifications

Built for the composites floor

Strandix deploys on the factory edge and integrates with the systems you already run, under your security and export controls.

PhysicsPlacement, compaction, cure kinetics, exotherm, residual stress, strength
OptimizationStrength, yield, cycle time, energy
Synthetic dataRare porosity / wrinkle / FOD / cure-fault via Cosmos
PlatformOmniverse + accelerated compute
OutputControl envelopes for Plyoq & Curevo
UseNPI, process design, qualification support
Integrations

Fits your stack, under your controls

AFP / ATL controllers

Autoclave / OOA

Ultrasonic & thermographic NDT

MES / ERP

OPC-UA / OT

Historian & PLM

Assurance first

Trust before autonomy

Strandix runs in shadow, then assist, then bounded autonomy — grounded, auditable, and human-supervised at every airworthiness-critical checkpoint.

FAQ

Questions engineers ask

How accurate is the twin?

Strandix surrogates are validated against real parts, NDT and coupon data; predictions ship with confidence and are continuously corrected as ground truth arrives.

Does it replace physical testing?

It reduces and focuses it. You iterate in simulation, then confirm with far fewer physical builds and coupons.

How does it reach the floor?

Optimized recipes are exported as bounded control envelopes consumed directly by Plyoq (layup) and Curevo (cure).

Put Strandix on your line

Start with one cell, a hard success metric, and a paid pilot. Prove ROI, then expand across the loop.