Accelerate qualification and link AM process to performance.
The promise of additive manufacturing lies in speed, complexity, and material efficiency, but widespread adoption still faces one major hurdle: trust. DigitalClone® bridges the gap between innovative builds and proven performance by simulating the full lifecycle of a metal AM part before it reaches the field.
Engineers can virtually explore how print parameters affect microstructure and fatigue life, reducing the trial-and-error that slows certification and production. That insight gives manufacturers a stronger foundation for qualification, certification, and scale-up.
Reliability is everything.
Failures in high-value components—whether in aerospace, defense, or energy—carry costly consequences both immediately and for the broader adoption of AM. DigitalClone’s ICME platform captures the full process–structure performance relationship for metal AM, helping teams cut qualification time and cost while improving confidence in part performance.
DC-AM (Additive Manufacturing)
Multi-scale simulations from process to fatigue life, proven across alloys like Inconel 718, Ti64, and AlSi10Mg and platforms such as powder bed fusion and direct energy deposition.
DC-IM (In-Situ Monitoring)
Closed-loop, real-time QA within hybrid AM machines. Detects, corrects, and rebuilds defective layers using thermal sensing without operator intervention.
Driving faster qualification.
Traditional qualification methods rely on expensive test prints and destructive testing, adding months to program timelines. DigitalClone® offers a faster, more cost-effective path by cutting design iterations by up to 75%, reducing AM part qualification costs by up to 50%, and validating performance across multiple deposition methods and alloys.
Key Applications:
Aerospace & Defense Programs – Support qualification through NASA, DoD, and DOE partnerships.
Mission-Critical Components – Simulate parts where fatigue performance is non-negotiable.
Process-to-Performance Validation – Link AM process parameters directly to part-level fatigue behavior.
