Literature DB >> 31510255

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.   

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.

Year:  2019        PMID: 31510255     DOI: 10.1364/OE.27.021856

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Analysis of Chinese Painting Color Teaching Based on Intelligent Image Color Processing Technology in the Network as a Green Environment.

Authors:  Li Tian
Journal:  J Environ Public Health       Date:  2022-06-21

2.  Highly Reflective Silver-Enhanced Coating with High Adhesion and Sulfurization Resistance for Telescopes.

Authors:  Hsing-Yu Wu; Shao-Rong Huang; Chih-Hsuan Shih; Li-Jen Hsiao; Hong-Wei Chen; Ming-Chung Cheng; Jin-Cherng Hsu
Journal:  Nanomaterials (Basel)       Date:  2022-03-23       Impact factor: 5.076

  2 in total

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