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Unicursal random maze tool path for computer-controlled optical surfacing.

Chunjin Wang, Zhenzhong Wang, Qiao Xu

|February 3, 2016

Summary

This summary is machine-generated.

A new maze tool path ensures uniform polishing coverage and avoids surface defects. This novel approach is effective in computer-controlled optical surfacing, outperforming traditional raster and Hilbert paths.

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Area of Science:

Manufacturing Engineering
Optical Engineering
Surface Metrology

Background:

Achieving uniform surface coverage and minimizing mid-spatial frequency errors are critical in optical surfacing.
Traditional tool paths like raster and Hilbert paths have limitations in addressing these challenges.

Purpose of the Study:

To propose and evaluate a novel unicursal random maze tool path for computer-controlled optical surfacing.
To compare the performance of the maze path against raster and Hilbert paths regarding surface uniformity and error reduction.

Main Methods:

Development of a unicursal random maze tool path algorithm.
Conducting simulation experiments to model polishing processes.
Performing practical polishing experiments using maze, raster, and Hilbert paths.

Main Results:

The maze path demonstrated uniform coverage of polishing surfaces.
It effectively prevented the formation of periodical structures on the polished surface.
The maze path showed superior performance in restraining mid-spatial frequency errors compared to the Hilbert path.

Conclusions:

The proposed maze tool path offers significant advantages for uniform polishing and error control in optical surfacing.
This method enhances surface quality and process efficiency in computer-controlled optical surfacing.