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Restraint of tool path ripple based on surface error distribution and process parameters in deterministic finishing
Hao Hu1, Yifan Dai, Xiaoqiang Peng
1National University of Defense Technology, Changsha 410073, China. tiny_hh@sohu.com
This study introduces a random pitch tool path to minimize microfabrication errors in deterministic finishing. Experiments show this method significantly improves surface accuracy for optical components.
Area of Science:
- Optics and Materials Science
- Precision Engineering
- Surface Metrology
Background:
- Deterministic finishing processes can introduce microfabrication errors, particularly from regular tool paths.
- Residual errors in optical component fabrication impact performance and require mitigation strategies.
Purpose of the Study:
- To investigate the influence of regular tool paths on microfabrication errors in deterministic finishing.
- To develop and validate a novel random pitch tool path for reducing residual surface errors.
- To enhance the surface accuracy of optical components through corrective polishing.
Main Methods:
- Simulations were conducted to analyze the impact of tool path strategies on surface errors.
- A random pitch tool path was designed based on surface error distribution and process parameters.
- Experimental polishing of a nucleated glass flat mirror was performed using the developed method on a custom UPF700-7 installation.
Main Results:
- Surface accuracy of the glass flat mirror improved from λ/30 (RMS, 90% aperture) to λ/200 in 5 minutes.
- Medium-high spatial frequency errors induced by regular tool paths were effectively restricted.
- Experimental results validated the simulation accuracy and the efficacy of the random pitch tool path.
Conclusions:
- The random pitch tool path is a viable and effective strategy for reducing microfabrication errors in deterministic finishing.
- This method significantly enhances surface accuracy and controls spatial frequency errors in optical component polishing.
- The study demonstrates a successful integration of simulation and experimental validation for advanced optical fabrication techniques.
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