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Related Experiment Video

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Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

Shape-matching soft mechanical metamaterials.

M J Mirzaali^1,2, S Janbaz³, M Strano¹

¹Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156, Milano, Italy.

Scientific Reports

|January 19, 2018

Summary

This summary is machine-generated.

Researchers developed shape-matching metamaterials that deform into pre-defined shapes. These architectured materials, using auxetic and conventional unit cells, could enable advanced soft robotics and wearable devices.

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Area of Science:

Materials Science and Engineering
Mechanical Engineering
Additive Manufacturing

Background:

Architectured materials offer unique mechanical properties through rational geometric design.
Metamaterials with auxetic and conventional unit cells can exhibit unusual deformation behaviors.
Controlling the final shape of deforming materials is crucial for advanced applications.

Purpose of the Study:

To introduce and demonstrate "shape-matching" metamaterials capable of achieving pre-defined shapes upon deformation.
To establish a computational framework for mapping desired planar shapes to specific geometric designs of cellular structures.
To explore the potential applications of these shape-matching metamaterials in fields like soft robotics and medical devices.

Main Methods:

Utilized computational models to perform forward-mapping from planar shapes to geometrical designs of cellular structures.
Validated computational models by comparing predictions with experimental results from indirectly additively manufactured specimens.
Employed Fourier series to describe arbitrary shapes and devised cellular structures to approximate these target contours.

Main Results:

Successfully demonstrated the capability of shape-matching metamaterials to deform into complex, arbitrary shapes.
Validated the accuracy of computational models through experimental verification.
Showcased shape-matching capabilities by conforming to the contours of a scapula model, a pumpkin, and a Delft Blue pottery piece.

Conclusions:

Shape-matching metamaterials, designed with specific geometries of auxetic and conventional unit cells, can achieve target shapes upon deformation.
The developed computational forward-mapping approach is effective for designing such shape-adaptive materials.
These novel metamaterials hold significant promise for applications requiring precise shape conformity, such as in soft robotics and wearable medical devices.