2014
DOI: 10.1007/s00170-014-6223-7
|View full text |Cite
|
Sign up to set email alerts
|

Restraint of tool path ripple based on the optimization of tool step size for sub-aperture deterministic polishing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 24 publications
(7 citation statements)
references
References 28 publications
0
7
0
Order By: Relevance
“…According to previous studies, 35 the residual error E(x, y) of the polished surface can be generated by…”
Section: B Modeling Of Removal Function In the Two-dimensional Ultramentioning
confidence: 99%
“…According to previous studies, 35 the residual error E(x, y) of the polished surface can be generated by…”
Section: B Modeling Of Removal Function In the Two-dimensional Ultramentioning
confidence: 99%
“…Pohl et al [12] observed the simulation of the mid-spatial frequencies generation during the grinding process of optical components. Wang et al [13][14][15] analyzed the optimization of parameters for bonnet polishing based on the minimum residual error method. In addition, a maze path was proposed, which can increase randomness while ensuring uniform trajectory distribution, and avoid periodic surface error.…”
Section: Introductionmentioning
confidence: 99%
“…MSF error is primarily introduced during the CCOS processes, and it is hard to restrain. It is reported that MSF error is mainly affected by the initial surface error distribution (spatial and frequency domain), the removal function characters (profile, removal efficiency and stability) and the adopted paths [7,8].…”
Section: Introductionmentioning
confidence: 99%