| Issue |
J. Eur. Opt. Soc.-Rapid Publ.
Volume 16, Number 1, 2020
|
|
|---|---|---|
| Article Number | 23 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1186/s41476-020-00145-4 | |
| Published online | 25 November 2020 | |
Research
A predictable smoothing evolution model for computer-controlled polishing
1
Research Center of Laser Fusion, China Academy of Engineering Physics, 621900, Mianyang, China
2
School of Mechatronics & Engineering, Harbin Institute of Technology, 150001, Harbin, China
Received:
8
September
2019
Accepted:
16
November
2020
Quantitative prediction of the smoothing of mid-spatial frequency errors (MSFE) is urgently needed to realize process guidance for computer controlled optical surfacing (CCOS) rather than a qualitative analysis of the processing results. Consequently, a predictable time-dependent model combining process parameters and an error decreasing factor (EDF) were presented in this paper. The basic smoothing theory, solution method and modification of this model were expounded separately and verified by experiments. The experimental results show that the theoretical predicted curve agrees well with the actual smoothing effect. The smoothing evolution model provides certain theoretical support and guidance for the quantitative prediction and parameter selection of the smoothing of MSFE.
Key words: Mid-spatial frequency errors / Computer-controlled polishing / Smoothing / Quantitative prediction / Parametric
© The Author(s) 2020
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.