AI-Optimized Additive Manufacturing

AI optimizes additive manufacturing conditions and controls metal 3D printing in product development.

Business impact

• Yield — AstraZeneca reports AI-powered process digital twins are used to optimize yield.
• Productivity — AstraZeneca reports the system is used to optimize productivity.
• Raw-material use — AstraZeneca says the approach reduces raw-material use.

Data requirements

• Process data (tabular) — The digital twin and data-driven learning approaches depend on manufacturing data.
• Sensor data (sensor) — Freeform explicitly names advanced sensing.

AI methods and techniques

• Process digital twin — Used to simulate and optimize manufacturing conditions.
• Real-time control — Used to adjust printing or factory operations as the process runs.
• Data-driven learning — Used to improve the manufacturing stack from operational data.
• Advanced sensing — Used to observe the printing or factory process for control and verification.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: AstraZeneca, Freeform.