Flexible Metasurface for Microwave-Infrared Compatible Camouflage via Particle Swarm Optimization Algorithm

Area of Science:

• Metamaterials and Nanotechnology
• Electromagnetic Wave Manipulation
• Advanced Materials Science

Background:

• Metamaterials offer precise control over electromagnetic (EM) waves using engineered structures.
• Multiband camouflage requires managing interactions across different spectral ranges like infrared (IR) and microwave (MW).
• Simultaneous control of IR emission and MW transmission is challenging due to differing wave-matter interactions.

Purpose of the Study:

• To demonstrate a flexible compatible camouflage metasurface (FCCM).
• To achieve simultaneous manipulation of IR signatures and selective MW transmission.
• To optimize FCCM performance for both IR tunability and MW transmission.

Main Methods:

• Design and fabrication of a flexible compatible camouflage metasurface (FCCM).
• Utilizing the particle swarm optimization (PSO) algorithm for performance maximization.
• Experimental validation of IR signature reduction and MW selective transmission capabilities.

Main Results:

• The FCCM demonstrated significant IR tunability (77.7%) and high MW selective transmission (93.8%) on flat surfaces.
• Achieved an 89.8% IR signature reduction effect even on curved surfaces.
• Validated the compatible camouflage performance across IR and MW bands.

Conclusions:

• The developed FCCM effectively integrates IR signature management with selective MW transmission.
• The FCCM offers a promising solution for applications requiring dual-band electromagnetic wave control.
• The particle swarm optimization algorithm proved effective in maximizing the performance of the metasurface.