A Substructure Perturbation Method for Systematic Design of Mechanical Metamaterials with Programmed Functionalities
Jiakun Liu, Adam Taylor, Sage Fulco, Sumukh S. Pande, Kevin T. Turner

TL;DR
This paper introduces the Substructure Perturbation Method (SSPM), a systematic and efficient computational approach for designing mechanical metamaterials with programmed deformation modes, validated through experiments and outperforming existing methods.
Contribution
The paper presents the SSPM, a novel theoretical and computational framework that accelerates the design process of mechanical metamaterials with complex functionalities.
Findings
SSPM is two orders of magnitude faster than existing methods.
Multiple substructures must be analyzed simultaneously for successful design.
Experimental prototypes demonstrate programmed deformation capabilities.
Abstract
Mechanical metamaterials utilize geometry to achieve exceptional mechanical properties, including those not typically possible for traditional materials. To achieve these properties, it is necessary to identify the proper structures and geometries, which is often a non-trivial and computationally expensive process. Here, we propose a Substructure Perturbation Method (SSPM) for systematic design and search of these materials with programmed deformation modes. We present the theoretical fundamentals and computational algorithms of the SSPM, along with four design problems to investigate the effect and performance of the SSPM. Results reveal the necessity of analyzing multiple substructures simultaneously in obtaining successful designs, and its effectiveness in speeding up numerical processes. In one design case, SSPM is shown to be effectively two orders of magnitude faster than another…
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Taxonomy
TopicsEngineering Applied Research · Dynamics and Control of Mechanical Systems · Modular Robots and Swarm Intelligence
