Author
Negi, V.S.Wang, T.
Garg, H.
Pullen, W.C.
Ke, X.
Shravan Kumar, R.R.
Choi, H.
Tiwari, U.K.
Karar, V.
Kim, D.
Affiliation
James C. Wyant College of Optical Sciences, University of ArizonaLarge Binocular Telescope Observatory, University of Arizona
Department of Astronomy, Steward Observatory, University of Arizona
Issue Date
2022
Metadata
Show full item recordPublisher
Optica Publishing Group (formerly OSA)Citation
Negi, V. S., Wang, T., Garg, H., Pullen, W. C., Ke, X., Shravan Kumar, R. R., Choi, H., Tiwari, U. K., Karar, V., & Kim, D. (2022). Random adaptive tool path for zonal optics fabrication. Optics Express, 30(16), 29295–29309.Journal
Optics ExpressRights
Copyright © 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Deterministic optics fabrication using sub-aperture tools has been vital for manufacturing precision optical surfaces. The fabrication process requires the tool influence function and the tool path to calculate the dwell time that guides the tool to bring surface quality within tight design tolerances. Widely used spiral and raster paths may leave excess waviness from the tool path, and the unavoidable constant removal layer is added to obtain positive dwell time. This waviness can be removed by either using smaller tools sequentially or randomizing the tool path. However, the existing tool-path solutions can hardly adapt to different surface aperture shapes and localized surface errors. Process efficiency and accuracy are also not well considered in tool-path planning. We propose an innovative zonal Random Adaptive Path (RAP) to solve these problems in this study. Firstly, RAP can be flexibly adapted to different surface aperture shapes by introducing part boundary. Secondly, an average threshold strategy is used in the RAP planning to improve efficiency, enabling the surface errors to be selectively corrected. Finally, the threshold is performed in several passes within one processing cycle, each with its RAP, until the desired residual is achieved. The performance of the proposed RAP is studied by comparing it with the conventional tool paths. The results demonstrated that RAP takes the least processing time and achieves the best surface quality, which verifies the effectiveness of RAP in deterministic optics fabrication. © 2022 Optica Publishing GroupNote
Open access journalISSN
1094-4087Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1364/OE.463695
