Optimization of the Tool Influence Function for Small Tool Polishing Based on the Control of Polishing Pressure Distribution

In ultra-precision optical components polishing, the shape of the Tool Influence Function (TIF) is an important factor that affects the processing efficiency and processing accuracy of optical components. For a self-rotating small tool polishing device commonly used in computer-controlled optical surfacing (CCOS), its TIF deviates from the Gaussian shape, and the processing is prone to cause surface figure divergence. Inspired by the theory of eccentric compression, this paper proposes a method to optimize the shape of the TIF based on pressure distribution control. Based on the finite element method, a contact pressure distribution model is established. The influence of different positions of the pressure contact points on the contact pressure distribution is analyzed, and the position of the pressure application point that makes the TIF close to the Gaussian shape is determined. On this basis, a new type of small tool polishing device that can realize the above optimization method is designed. The optimized actual TIF is obtained, and an aspheric mirror processing experiment is completed. After three rounds of processing, the value of PV of the surface form error converged from 1861.180 nm to 64.875 nm, with a convergence rate of 96.5%. The value of RMS converged from 299.857 nm to 6.043 nm, with a convergence rate of 97.9%. The surface figure accuracy has reached the expected goal with the root mean square value less than 10 nm, which verifies the feasibility and effectiveness of this optimization method.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-03-11
DOI
https://doi.org/10.3390/app15063044
Citations
3
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
2.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of the Tool Influence Function for Small Tool Polishing Based on the Control of Polishing Pressure Distribution

Xiang-Min Jiang, Yongsheng Yao, Qixin Li, Jiaoteng Ding et al.
3 citations
Applied Sciences
Advanced Surface Polishing Techniques
2.02
article

Optimization of the Tool Influence Function for Small Tool Polishing Based on the Control of Polishing Pressure Distribution

Xiang-Min Jiang, Yongsheng Yao, Qixin Li, Jiaoteng Ding, Zhen Ma
article en
3 citations

Abstract

In ultra-precision optical components polishing, the shape of the Tool Influence Function (TIF) is an important factor that affects the processing efficiency and processing accuracy of optical components. For a self-rotating small tool polishing device commonly used in computer-controlled optical surfacing (CCOS), its TIF deviates from the Gaussian shape, and the processing is prone to cause surface figure divergence. Inspired by the theory of eccentric compression, this paper proposes a method to optimize the shape of the TIF based on pressure distribution control. Based on the finite element method, a contact pressure distribution model is established. The influence of different positions of the pressure contact points on the contact pressure distribution is analyzed, and the position of the pressure application point that makes the TIF close to the Gaussian shape is determined. On this basis, a new type of small tool polishing device that can realize the above optimization method is designed. The optimized actual TIF is obtained, and an aspheric mirror processing experiment is completed. After three rounds of processing, the value of PV of the surface form error converged from 1861.180 nm to 64.875 nm, with a convergence rate of 96.5%. The value of RMS converged from 299.857 nm to 6.043 nm, with a convergence rate of 97.9%. The surface figure accuracy has reached the expected goal with the root mean square value less than 10 nm, which verifies the feasibility and effectiveness of this optimization method.

Applied SciencesVol. 15(6)
Chinese Academy of Sciences (CN), Xi'an Institute of Optics and Precision Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 15%
Advanced Surface Polishing Techniques
2.02
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.

Optimization of the Tool Influence Function for Small Tool Polishing Based on the Control of Polishing Pressure Distribution — Xiang-Min Jiang, Yongsheng Yao, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS