Abstract
Several 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.
Original language | English |
---|---|
Article number | 26 |
Number of pages | 22 |
Journal | Nanomanufacturing and Metrology |
Volume | 6 |
Issue number | 1 |
Early online date | 21 Jul 2023 |
DOIs | |
Publication status | Published - 1 Dec 2023 |
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Bridging the Divide Between Iterative Optical Polishing and Automation. / Walker, David; Ahuir-Torres, Juan I.; Akar, Yasemin et al.
In: Nanomanufacturing and Metrology, Vol. 6, No. 1, 26, 01.12.2023.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Bridging the Divide Between Iterative Optical Polishing and Automation
AU - Walker, David
AU - Ahuir-Torres, Juan I.
AU - Akar, Yasemin
AU - Bingham, Paul A.
AU - Chen, Xun
AU - Darowski, Michal
AU - Fähnle, Oliver
AU - Gambron, Philippe
AU - Jackson, Frankie F.
AU - Li, Hongyu
AU - Mason, Luke
AU - Mishra, Rakesh
AU - Shahjalal, Abdullah
AU - Yu, Guoyu
N1 - Funding Information: We gratefully acknowledge several research grants from the UK EPSRC and STFC research councils and Innovate-UK, which financed various aspects of the research reported. We also appreciate Huddersfield University’s significant internal funding for equipment. We thank Professor S. Petrovic of Nottingham University and Drs. S. Parkinson and K. Wilson and colleagues of Huddersfield University for their invaluable contributions to the psychology and CBR aspects of capturing crafts expertise. This work would have been impossible other than for the cooperation of the OpTIC Centre in St Asaph, UK, operated by Glyndwr University, who provided access to their IRP1200 CNC polishing machine and three machine operators. The measurement of particle size distribution has proved to be a much deeper subject than we envisaged. We have been both impressed and appreciative of the support that Andy Winn and Jack Armitage of Verder Scientific have provided, including a critical commentary included in this paper on our preliminary results and recommendations for the best way forward. We gratefully acknowledge Chenhui An’s diligent work optimizing the force table design over many iterations, achieving the required dynamic performance, providing the FEA data in this paper, and arranging for the manufacture of the instrument. Funding Information: Funding was provided by Engineering and Physical Sciences Research Council (Grant Nos. EP/V029304/1, EP/V029274/1, EP/V029266/1, EP/V029401/1) and Innovate UK (Grant No. 10029272). Funding Information: We gratefully acknowledge several research grants from the UK EPSRC and STFC research councils and Innovate-UK, which financed various aspects of the research reported. We also appreciate Huddersfield University’s significant internal funding for equipment. We thank Professor S. Petrovic of Nottingham University and Drs. S. Parkinson and K. Wilson and colleagues of Huddersfield University for their invaluable contributions to the psychology and CBR aspects of capturing crafts expertise. This work would have been impossible other than for the cooperation of the OpTIC Centre in St Asaph, UK, operated by Glyndwr University, who provided access to their IRP1200 CNC polishing machine and three machine operators. The measurement of particle size distribution has proved to be a much deeper subject than we envisaged. We have been both impressed and appreciative of the support that Andy Winn and Jack Armitage of Verder Scientific have provided, including a critical commentary included in this paper on our preliminary results and recommendations for the best way forward. We gratefully acknowledge Chenhui An’s diligent work optimizing the force table design over many iterations, achieving the required dynamic performance, providing the FEA data in this paper, and arranging for the manufacture of the instrument. Publisher Copyright: © 2023, The Author(s).
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Several 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.
AB - Several 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.
KW - Abrasives
KW - Asphere
KW - Deterministic
KW - Free-form
KW - Glass
KW - Optics
KW - Photonics
KW - Polishing
KW - Ultraprecision
UR - http://www.scopus.com/inward/record.url?scp=85165382582&partnerID=8YFLogxK
U2 - 10.1007/s41871-023-00197-3
DO - 10.1007/s41871-023-00197-3
M3 - Article
AN - SCOPUS:85165382582
VL - 6
JO - Nanomanufacturing and Metrology
JF - Nanomanufacturing and Metrology
SN - 2520-811X
IS - 1
M1 - 26
ER -