Fundamental steps toward next-generation intelligent automatic process in a faster and cost-effective chain for...

Area of Science:

• Manufacturing Technologies
• Industry 4.0
• Data Clouds

Background:

• Industry 4.0 necessitates intelligent automation in manufacturing.
• Data clouds are fundamental for achieving intelligent automatic processes.
• High-quality segmented telescope manufacturing presents significant production challenges.

Purpose of the Study:

• To introduce a novel data cloud technology for manufacturing.
• To demonstrate the real-time monitoring capabilities of this technology.
• To address the manufacturing rate challenges for large telescope projects.

Main Methods:

• Implementation of data clouds within manufacturing technologies.
• Real-time monitoring of five key process responses: removal rate, texture, surface accuracy, edge-profiles, and mid-spatial frequencies.
• Validation of the monitoring system's repeatability.

Main Results:

• The new technology achieves over 95% repeatability in real-time monitoring.
• Efficient and effective monitoring of critical manufacturing responses.
• Identified as a faster and less expensive process compared to existing methods.

Conclusions:

• Data cloud implementation is crucial for intelligent manufacturing.
• The developed technology offers a reliable solution for real-time quality control.
• This approach can significantly improve the production rate for segmented optics, exemplified by the European Extremely Large Telescope project.