Abstract
AbstractSeveral recent business reports have described the global growth in demand for optical and photonic components, paralleled by technical reports on the growing shortage of skilled manufacturing staff to meet this demand. It is remarkable that producing ultraprecision surfaces remains so dependent on people, in contrast to other sectors of the economy, e.g., car manufacturing. Clearly, training can play some role, but ultimately, only process automation can provide the solution. This paper explores why automation is a challenge and summarizes multidisciplinary work aiming to assemble the building blocks required to realize automation.
Funder
Engineering and Physical Sciences Research Council
Innovate UK
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Materials Science (miscellaneous)
Reference54 articles.
1. Walker D, Li H, Longstaff A, Pan W, Parkinson S, Petrovic S, Wilson K, Yu G (2018) Fully automating fine-optics manufacture—why so tough, and what are we doing?. In: European optical society biennial meeting 2018 (EOSAM 2018), Delft
2. Subramanian D (2019) A simple introduction to k-nearest neighbors algorithm. https://towardsdatascience.com/a-simple-introduction-to-k-nearest-neighbors-algorithm-b3519ed98e. Accessed 2022
3. Fahnle O, Rascher R, Tinner M (2021) Optical fabrication chain design. Photonics Rev 18(4):43–45
4. Faehnle O (2022) Modeling of optical fabrication chains during optics design. In: International conference on optics-photonics design & fabrication (ODF), Sapporo, Japan
5. Faehnle O (2016) Process optimization in optical fabrication. SPIE Opt Eng 55(3):035106–035106
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