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◆ Journal of Intelligent Material Systems and Structures2026-07-31· Finite element method

Model-guided design framework for robotic shape memory metastructures

Lucas Jan Victor Monsfort, Luuk Peter Maximiliaan Theodorus Scholtes, Raaf ter Woerds, Rushil Amresh Lachman, Tim William Overduin, Jovana Jovanova

原始摘要(英文原文)· Original abstract
Smart materials such as shape memory polymers (SMPs) offer a promising route to programmable, stimulus-responsive robotic structures. This study proposes a systematic design framework for the design of such robotic structures using thermally actuated SMPs, specifically polylactic acid (PLA). A building block library of 2D structures—straight beams, curved beams and triangles—was evaluated with finite element analysis (FEA) and experimental validation. A sensitivity analysis was performed to identify geometric parameters influencing deformation and recovery behaviour. The numerical analysis results of building block behaviour were validated with experimental tests, using PLA printed structures. A library was created, enabling metastructures to be formed through model-guided design. These metastructures are able to exhibit programmable and predictable deformation in a single direction by combining rigid and deformable elements. The results demonstrate the feasibility of the proposed design approach for creating thermally actuated SMP metastructures that exhibit robot-like behaviour.
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Model-guided design framework for robotic shape memory metastructures — 科研速览 Science Skim