Real-Time AI Monitoring for Titanium WAAM
See how AI-powered monitoring sets a new standard in titanium Wire Arc Additive Manufacturing, delivering instant defect detection and process optimization for aerospace-grade components.
Real-time AI monitoring revolutionizes titanium WAAM production by analyzing thermal signatures, melt pool dynamics, and layer-by-layer quality metrics as the build progresses. This video demonstrates how Therness AI systems detect anomalies instantly, enabling immediate process corrections and preventing costly defects in aerospace and high-performance applications.
Key Takeaways
- Real-time AI analysis of thermal patterns and melt pool behavior during titanium WAAM deposition.
- Instant detection of porosity, lack of fusion, and thermal anomalies before they become defects.
- Process optimization through continuous feedback loops that adjust parameters automatically.
- Quality assurance standards suitable for aerospace certification and ISO compliance.
Deploy with Therness
- Integrate HeatCore™ thermal cameras with DuoSense AI™ for comprehensive WAAM monitoring.
- Enable real-time alerts and automated process adjustments through QMS Copilot integration.
- Scale AI models across multiple WAAM cells with centralized training and deployment.
- Generate audit-ready reports with full traceability for aerospace and medical applications.
Transcript (short)
Show transcript
This video demonstrates real-time AI monitoring during titanium WAAM. As layers are deposited, thermal signatures and melt pool behavior are analyzed live to detect anomalies like porosity risk, lack of fusion risk, and thermal drift. The intent is to enable immediate corrections, reduce scrap, and generate traceable quality evidence for certification workflows.