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

Hsing Yu Wu, David Walker, Guoyu Yu

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)21856-21871
Number of pages16
JournalOptics Express
Volume27
Issue number15
Early online date19 Jul 2019
DOIs
Publication statusPublished - 22 Jul 2019

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