How Center Street Technologies partnered with AIDAN Systems to transform additive manufacturing… boosting quality, repeatability, and cost efficiency through real-time insights and AI-ready architecture.
The Challenge
Center Street Technologies, a leader in large-format additive manufacturing (LFAM), faced critical challenges in scaling production and ensuring consistent quality:
- Complex IoT Data Streams: High-volume sensor data from extrusion-based 3D printing processes was underutilized.
- Quality Variability: Maintaining material consistency across large builds was difficult.
- Limited Process Visibility: Engineers lacked real-time insights into machine performance and part quality.
- High Cost of Iteration: Manual interventions and trial-and-error approaches increased production costs and slowed innovation.
- No AI Foundation: The company wanted to leverage AI/ML for predictive control and repeatability but lacked the infrastructure.
The AIDAN Solution
AIDAN Systems partnered with Center Street to implement an AI Control Tower – effectively, a data-centric transformation, integrating IoT data into a broader enterprise analytics framework
- IoT Data Integration: Captured and ingested real-time sensor data from LFAM machines into a secure environment.
- Data Lake Architecture: Unified IoT streams with operational datasets (work orders, machine events, material properties) for holistic analysis.
- Feature Store Development: Built a structured repository of critical process parameters for ML model training.
- Observability and Machine Learning Pilot: Developed iterative releases of observability models to manage and optimize various anomalies, improving print consistency.
- Interactive Dashboards: Delivered dashboards for monitoring machine health, material usage, and production KPIs.
- Future-Proof Design: Established a foundation for AI Print, an autonomous control system leveraging real-time sensor fusion and cognitive algorithms
Remarkable Results
Operational Improvements
- Enhanced Quality Control: Reduced variability in production parameters and improved part integrity.
- Process Repeatability: ML-driven insights enabled consistent performance across large-format builds.
- Cost Optimization: Lowered scrap rates and reduced manual interventions, cutting production costs.
- Real-Time Visibility: Engineers now access dashboards for machine status and predictive alerts.
Strategic Impact
- AI Readiness: Center Street is positioned to deploy autonomous decision-making for LFAM.
- Scalable Framework: Architecture supports future expansion into predictive maintenance and material optimization.
- Competitive Advantage: Improved throughput and reliability for aerospace and defense applications.
- Data Package: End products can now ship with a data package attached to them with the complete lineage and history of production.
Looking Ahead
Center Street plans to extend its AI initiatives to:
- Autonomous control loops for LFAM
- Predictive maintenance across all additive platforms
- Integration of material science databases for advanced process optimization
Ready to unlock the power of IoT and AI in manufacturing?
Let AIDAN help you:
- Harness IoT data for actionable insights
- Build AI-ready infrastructure
- Optimize quality, cost, and throughput
- Drive innovation in advanced manufacturing
