Regulating LIPSS Period and Orientation via Multiaxis Laser Processing and Neural Network Guidance.

Area of Science:

• Materials Science
• Nanotechnology
• Laser Physics

Background:

• Femtosecond laser-induced periodic surface structures (LIPSS) are crucial for surface engineering.
• Controlling LIPSS period and orientation is essential for demand-oriented functionalities.
• Current methods lack precise and simultaneous control over LIPSS characteristics.

Purpose of the Study:

• To develop a strategy for precise and simultaneous control of LIPSS period and orientation.
• To integrate multiaxis femtosecond laser micromachining with neural network guidance.
• To demonstrate tailored LIPSS for structural coloring applications.

Main Methods:

• Constructed a multiaxis femtosecond laser micromachining system.
• Established a kinematic model to compensate for polarization deviations.
• Employed back-propagation neural networks and particle swarm optimization for parameter optimization.
• Utilized a neural network to map laser parameters to LIPSS geometry.

Main Results:

• Achieved simultaneous tailoring of LIPSS period and orientation.
• Demonstrated multilevel LIPSS-based structural coloring on SUS 304 stainless steel.
• Validated the theoretical basis and technical guidance for LIPSS design and fabrication.

Conclusions:

• The proposed strategy enables precise control over LIPSS characteristics.
• This approach provides a foundation for fabricating LIPSS with on-demand properties.
• The integrated system offers significant potential for advanced surface engineering.