Geometry-Encoded Programmable Mechanics in Single-Material Dual-Phase Metamaterials

Area of Science:

• Materials Science
• Mechanical Engineering
• Metamaterials Science

Background:

• Programmable metamaterials are crucial for advanced engineering but often require complex multi-material fabrication.
• Existing methods face challenges with conventional additive manufacturing due to multi-material requirements.

Purpose of the Study:

• To develop novel dual-phase (DP) metamaterials with programmable mechanical responses using a single material.
• To overcome fabrication limitations associated with multi-material systems in metamaterial design.

Main Methods:

• Inspired by nacre, a dual-phase (DP) metamaterial design was created using bending-dominated (soft) and stretching-dominated (hard) lattice architectures.
• Spatial encoding of soft and hard phases was systematically varied to control mechanical behavior.
• A data-driven framework was developed to model the relationship between spatial encoding and mechanical responses for inverse design.

Main Results:

• DP metamaterials exhibited programmable nonlinear mechanical responses and tailored failure processes through geometry-based encoding.
• Engineered failure mechanisms and phase interactions led to significantly enhanced energy absorption and customizable plateau stress.
• The data-driven model enabled rapid and accurate inverse design of DP metamaterials for specific target responses.

Conclusions:

• A new geometry-based strategy for creating highly programmable single-material metamaterials was established.
• DP metamaterials offer a pathway to multifunctional engineering applications with improved performance and simplified fabrication.
• This approach facilitates efficient exploration of the design space for tailored metamaterial properties.