Mechanism-Oriented Analysis of Core–Shell Structured CIP@SiO2 Magnetic Abrasives for Precision-Enhanced Magnetorheological Polishing

This study addresses the critical challenge of precise control over active abrasive particles in magnetorheological polishing (MRP) through innovative core-shell particle engineering. A sol-gel synthesized CIP@SiO<sub>2</sub> magnetic composite abrasive with controlled SiO<sub>2</sub> encapsulation (20 nm shell thickness) was developed using tetraethyl orthosilicate (TEOS) as the silicon precursor, demonstrating significant advantages in optical-grade fused silica finishing. Systematic polishing experiments reveal that the core-shell architecture achieves a remarkable 20.16% improvement in surface quality (Ra = 1.03 nm) compared to conventional CIP/SiO<sub>2</sub> mixed abrasives, with notably reduced surface defects despite a modest 8-12% decrease in material removal rate. Through synergistic analysis combining elastic microcontact mechanics modeling and molecular dynamics simulations, we establish that the SiO<sub>2</sub> shell mediates stress distribution at tool-workpiece interfaces, effectively suppressing deep subsurface damage while maintaining nano-scale material removal efficiency. The time-dependent performance analysis further demonstrates that extended polishing durations with CIP@SiO<sub>2</sub> composites progressively eliminate mid-spatial frequency errors without introducing new surface artifacts. These findings provide fundamental insights into designed abrasive architectures for precision finishing applications requiring sub-nanometer surface integrity control.

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Publication Details

Journal
Micromachines
Published
2025-04-24
DOI
https://doi.org/10.3390/mi16050495
Citations
1
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.67

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article

Mechanism-Oriented Analysis of Core–Shell Structured CIP@SiO2 Magnetic Abrasives for Precision-Enhanced Magnetorheological Polishing

Zijun Zheng, Shu-sheng Chen, Yongchao Xu, Bingsan Chen et al.
1 citations
Micromachines
Advanced Surface Polishing Techniques
0.67
article

Mechanism-Oriented Analysis of Core–Shell Structured CIP@SiO2 Magnetic Abrasives for Precision-Enhanced Magnetorheological Polishing

Zijun Zheng, Shu-sheng Chen, Yongchao Xu, Bingsan Chen, Chunyu Li, Yonghui Zhu
article en
1 citations

Abstract

This study addresses the critical challenge of precise control over active abrasive particles in magnetorheological polishing (MRP) through innovative core-shell particle engineering. A sol-gel synthesized CIP@SiO<sub>2</sub> magnetic composite abrasive with controlled SiO<sub>2</sub> encapsulation (20 nm shell thickness) was developed using tetraethyl orthosilicate (TEOS) as the silicon precursor, demonstrating significant advantages in optical-grade fused silica finishing. Systematic polishing experiments reveal that the core-shell architecture achieves a remarkable 20.16% improvement in surface quality (Ra = 1.03 nm) compared to conventional CIP/SiO<sub>2</sub> mixed abrasives, with notably reduced surface defects despite a modest 8-12% decrease in material removal rate. Through synergistic analysis combining elastic microcontact mechanics modeling and molecular dynamics simulations, we establish that the SiO<sub>2</sub> shell mediates stress distribution at tool-workpiece interfaces, effectively suppressing deep subsurface damage while maintaining nano-scale material removal efficiency. The time-dependent performance analysis further demonstrates that extended polishing durations with CIP@SiO<sub>2</sub> composites progressively eliminate mid-spatial frequency errors without introducing new surface artifacts. These findings provide fundamental insights into designed abrasive architectures for precision finishing applications requiring sub-nanometer surface integrity control.

MicromachinesVol. 16(5)
China National Nuclear Corporation (CN), Inventec (China) (CN), Fujian University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 33%
Advanced Surface Polishing Techniques
0.67
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