Pseudo-random tool paths for CNC sub-aperture polishing and other applications

Area of Science:

• Optics and Photonics
• Manufacturing Engineering
• Materials Science

Background:

• Classical polishing methods lack the precision required for advanced optical components.
• Computer Numerical Control (CNC) offers improved repeatability but requires optimized tool path strategies.
• Sub-aperture polishing is critical for achieving high-precision surfaces.

Purpose of the Study:

• To contrast the repetitiveness of machine motions in classical versus CNC polishing.
• To present a novel pseudo-random tool path for CNC sub-aperture polishing.
• To evaluate the performance of this random tool path against traditional raster paths.

Main Methods:

• Comparative analysis of machine motion repetitiveness.
• Development and implementation of a unicursal random tool path algorithm for CNC machines.
• Experimental polishing using both random and raster tool paths on equivalent surfaces.

Main Results:

• The pseudo-random tool path demonstrates comparable or superior surface quality to raster paths.
• The unicursal random tool path's non-intersecting property facilitates direct integration with dwell time maps.
• This method is applicable to complex geometries, including those with perforations.

Conclusions:

• The proposed pseudo-random tool path offers a viable and potentially advantageous alternative to raster paths in CNC sub-aperture polishing.
• This technique enhances the flexibility and corrective capabilities of CNC polishing for intricate optical surfaces.