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Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
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Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

Robust reconfigurable modular metamaterials with demand-driven elasto-plastic properties.

Haokai Zheng1, Chunlei Li1, Zitong Feng1

  • 1Department of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong Province, 510640, P. R. China. lichunlei@scut.edu.cn.

Materials Horizons
|June 16, 2026
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Summary
This summary is machine-generated.

This study introduces a novel self-locking assembly for modular metamaterials, enhancing mechanical stability and reconfigurability. This innovation enables on-demand environmental adaptation for advanced applications.

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Robotics

Background:

  • Modular mechanical metamaterials offer inherent assembly capabilities for reconfigurable geometry and real-time performance adjustment.
  • Current assembly strategies suffer from unstable mechanical strength and limited local space flexibility, hindering functional advancement and intelligent environmental adaptation.

Purpose of the Study:

  • To introduce a novel self-locking assembly strategy for modular metamaterials.
  • To enable on-demand reconfigurable environmental adaptation with enhanced mechanical properties and stability.
  • To develop an enhanced predictive model for dynamic responses considering assembly sequence.

Main Methods:

  • A self-locking assembly strategy utilizing the coupling of positive and negative Poisson's ratios was developed.
  • Mechanical properties, including elastic stiffness, stress strength, and energy absorption, were controllably adjusted without volume expansion.
  • An enhanced KAN-LSTM model was created to predict dynamic responses, incorporating assembly sequence for improved accuracy.

Main Results:

  • The self-locking mechanism significantly improved stability in multi-layer configurations, reducing stress fluctuations by up to 62.1%.
  • Controllable adjustments in mechanical properties were achieved: 116% elastic stiffness, 189% stress strength, and over 30% energy absorption variation.
  • The enhanced KAN-LSTM model demonstrated excellent performance in fitting nonlinear impact responses, reducing RMSE and MAE by approximately 20%.

Conclusions:

  • The novel self-locking assembly strategy provides a promising blueprint for reconfigurable modular core structural carriers.
  • This approach enhances stability, mechanical properties, and predictive modeling for real-time perception and protection systems.
  • The modular strategy offers economic maintenance benefits, with significant component recyclability.