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

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ID: 53692
2019
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Abstract
In the context of industry 4.0, building data clouds in manufacturing technologies is the fundamental step to approach intelligent automatic process. This new technology has proved to efficiently and effectively monitor five important responses (removal rate, texture, surface accuracy, edge-profiles and mid-spatial frequencies) with more than 95% repeatability in real time. This faster and inexpensive process can serve for the nowadays high-quality segmented telescopes. We illustrate the underlying problem by reference to a case-study - the challenge of an average manufacturing rate of 11.4 segments per month for the 39.3m optical/infrared European Extremely Large Telescope (E-ELT) project.
Reference Key
wu2019fundamentaloptics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wu, Hsing-Yu;Walker, David;Yu, Guoyu;
Journal Optics express
Year 2019
DOI
10.1364/OE.27.021856
URL
Keywords
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