Compensation strategy and optimization of machining parameters for bonnet nonlinear deformation under polishing path errors

This study develops a nonlinear deformation compensation strategy for bonnet polishing, addressing how creep and stress relaxation under cyclic loading degrade surface accuracy in optical component manufacturing. Continuous polishing cycles (creep) and repeated expansion cycles (stress relaxation) reveal that the tool influence function (TIF) width increases nonlinearly with cycle number, showing a Logarithmic trend. The TIF width grew by 55.46% and 91.38% in the two cases, far exceeding the tolerance for fine sub-aperture polishing. To capture this behavior, a support vector regression (SVR)-based prediction model was established, achieving fitting accuracies of 98.07% and 99.26%. By integrating contact pressure and velocity distribution models, the TIF prediction accuracy reached 97.77% for Gaussian-type TIFs and 78.07% for M-shaped TIFs, reflecting shape transitions when the critical offset depth was exceeded. Furthermore, a mathematical model of polishing center offset was combined with the SVR TIF width model to correct Tangential path deviations caused by bonnet expansion. Verification experiments demonstrated that, without correction, a 4-mm offset produced a central depression with PV = 0.205λ, exceeding specification limits. With the proposed compensation, the PV value was reduced to 0.077λ, meeting the requirements of high-end optical components. The synchronous correction of bonnet-induced deformation and path errors ensures stable mass production of precision optics.

Authors

Institutions

Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2025-09-26
DOI
https://doi.org/10.1007/s00170-025-16526-3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Compensation strategy and optimization of machining parameters for bonnet nonlinear deformation under polishing path errors

Chun‐Wei Liu, Yu-Zhen Mao, Jyun-Ting Lin
The International Journal of Advanced Manufacturing Technology
Advanced machining processes and optimization
article

Compensation strategy and optimization of machining parameters for bonnet nonlinear deformation under polishing path errors

Chun‐Wei Liu, Yu-Zhen Mao, Jyun-Ting Lin
article en

Abstract

This study develops a nonlinear deformation compensation strategy for bonnet polishing, addressing how creep and stress relaxation under cyclic loading degrade surface accuracy in optical component manufacturing. Continuous polishing cycles (creep) and repeated expansion cycles (stress relaxation) reveal that the tool influence function (TIF) width increases nonlinearly with cycle number, showing a Logarithmic trend. The TIF width grew by 55.46% and 91.38% in the two cases, far exceeding the tolerance for fine sub-aperture polishing. To capture this behavior, a support vector regression (SVR)-based prediction model was established, achieving fitting accuracies of 98.07% and 99.26%. By integrating contact pressure and velocity distribution models, the TIF prediction accuracy reached 97.77% for Gaussian-type TIFs and 78.07% for M-shaped TIFs, reflecting shape transitions when the critical offset depth was exceeded. Furthermore, a mathematical model of polishing center offset was combined with the SVR TIF width model to correct Tangential path deviations caused by bonnet expansion. Verification experiments demonstrated that, without correction, a 4-mm offset produced a central depression with PV = 0.205λ, exceeding specification limits. With the proposed compensation, the PV value was reduced to 0.077λ, meeting the requirements of high-end optical components. The synchronous correction of bonnet-induced deformation and path errors ensures stable mass production of precision optics.

The International Journal of Advanced Manufacturing TechnologyVol. 140(9-10)
National Tsing Hua University (TW)
National Science and Technology Council
Openalex Percentile: Top 73%
Advanced machining processes and optimization
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.

Compensation strategy and optimization of machining parameters for bonnet nonlinear deformation under polishing path errors — Chun‐Wei Liu, Yu-Zhen Mao, et al. · The International Journal of Advanced Manufacturing Technology (2025) | TGRS Research Map | TGRS