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.
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.
Hit target strength before the cure — the composites digital twin.— Strandix, part of the Curelum autonomy platform
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.
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.
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
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.
| Physics | Placement, compaction, cure kinetics, exotherm, residual stress, strength |
|---|---|
| Optimization | Strength, yield, cycle time, energy |
| Synthetic data | Rare porosity / wrinkle / FOD / cure-fault via Cosmos |
| Platform | Omniverse + accelerated compute |
| Output | Control envelopes for Plyoq & Curevo |
| Use | NPI, process design, qualification support |
Fits your stack, under your controls
AFP / ATL controllers
Autoclave / OOA
Ultrasonic & thermographic NDT
MES / ERP
OPC-UA / OT
Historian & PLM
Trust before autonomy
Strandix runs in shadow, then assist, then bounded autonomy — grounded, auditable, and human-supervised at every airworthiness-critical checkpoint.
Stronger together across the loop
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.