Mid-spatial frequency error characteristics induced by tool influence function in bonnet polishing

Bonnet polishing, a cost-effective and high-precision polishing technique with remarkable adaptability, is widely utilized in the precision machining of complex curved surfaces. However, mid-spatial frequency (MSF) error residuals significantly constrain its convergence efficiency in form error correction and ultimate machining accuracy. This paper investigates the influence of tool removal function characteristics on MSF errors during bonnet polishing. Initially, the theoretical removal functions under varying tool and process conditions were derived through finite element simulations, with the computational framework grounded in Preston's law, Hertzian contact mechanics, and kinematic analysis. Subsequently, a spectral-domain simulation model was developed to quantify MSF error residuals on optically finished surfaces based on the characterized removal functions. The simulation results indicate that under conditions of larger curvature bonnets and lower air pressure, the MSF error residuals are smaller. Finally, experiments were conducted on a high-precision flat fused silica element with a diameter of 100 mm to validate the MSF prediction model, and the experimental results showed good consistency with the simulation results. The findings of this study provide critical guidance for suppressing MSF errors in high-precision bonnet polishing applications.

Authors

Institutions

Publication Details

Journal
Applied Optics
Published
2025-08-29
DOI
https://doi.org/10.1364/ao.566380
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mid-spatial frequency error characteristics induced by tool influence function in bonnet polishing

Lirong Peng, Zhongyang Lu, Fenghua Shi, Xuejun Zhang et al.
Applied Optics
Advanced Surface Polishing Techniques
article

Mid-spatial frequency error characteristics induced by tool influence function in bonnet polishing

Lirong Peng, Zhongyang Lu, Fenghua Shi, Xuejun Zhang, Xuejun Zhang, Yiren Wang, Longxiang Li, Donglin Xue
article en

Abstract

Bonnet polishing, a cost-effective and high-precision polishing technique with remarkable adaptability, is widely utilized in the precision machining of complex curved surfaces. However, mid-spatial frequency (MSF) error residuals significantly constrain its convergence efficiency in form error correction and ultimate machining accuracy. This paper investigates the influence of tool removal function characteristics on MSF errors during bonnet polishing. Initially, the theoretical removal functions under varying tool and process conditions were derived through finite element simulations, with the computational framework grounded in Preston's law, Hertzian contact mechanics, and kinematic analysis. Subsequently, a spectral-domain simulation model was developed to quantify MSF error residuals on optically finished surfaces based on the characterized removal functions. The simulation results indicate that under conditions of larger curvature bonnets and lower air pressure, the MSF error residuals are smaller. Finally, experiments were conducted on a high-precision flat fused silica element with a diameter of 100 mm to validate the MSF prediction model, and the experimental results showed good consistency with the simulation results. The findings of this study provide critical guidance for suppressing MSF errors in high-precision bonnet polishing applications.

Applied OpticsVol. 64(27)
Jilin University (CN), Advanced Optical Systems (United States) (US), Jilin Medical University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 79%
Advanced Surface Polishing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mid-spatial frequency error characteristics induced by tool influence function in bonnet polishing — Lirong Peng, Zhongyang Lu, et al. · Applied Optics (2025) | TGRS Research Map | TGRS