通过刻印图案让多孔软执行器按需变形,实现弯曲、倾斜和扭转。
Programmable Deformation Design of Porous Soft Actuator through Volumetric-Pattern-Induced Anisotropy
- 在泡沫体上刻特定图案,利用局部各向异性引导整体变形。
- 实验显示可实现最大80度弯曲、18度倾斜和115度扭转。
- 无需模具即可快速原型,适合生物仿生手等复杂设计。
传统软气动执行器常因结构支撑弱且需为多模态功能定制几何结构而受限。将泡沫等多孔材料填充进腔体可提升结构稳定性,但如何通过改造多孔体本身实现可编程变形仍待探索。本文提出一种新设计方法:在圆柱形泡沫基底上刻划特定图案,通过引入局部结构各向异性,在全局负压作用下引导材料变形。研究了三种基础图案:横向用于弯曲,纵向用于倾斜,对角线用于扭转。建立有限元分析(FEA)计算模型以探究机理。实验表明,在最优图案阵列数N下,执行器可实现80°(N=2)弯曲、18°(N=1)倾斜和115°(N=8)扭转。通过图案可迁移性、可扩展性及无模快速原型验证了方法的通用性。作为综合应用,将人手褶皱图转化为刻痕模式,构建出具备类人自适应抓取能力的仿生软体机器人手。本工作为多功能源于多孔材料的软体机器人设计提供了高效、可扩展的新范式。
原文摘要 · Abstract (English)
Conventional soft pneumatic actuators, typically based on hollow elastomeric chambers, often suffer from small structural support and require costly geometry-specific redesigns for multimodal functionality. Porous materials such as foam, filled into chambers, can provide structural stability for the actuators. However, methods to achieve programmable deformation by tailoring the porous body itself remain underexplored. In this paper, a novel design method is presented to realize soft porous actuators with programmable deformation by incising specific patterns into the porous foam body. This approach introduces localized structural anisotropy of the foam guiding the material's deformation under a global vacuum input. Furthermore, three fundamental patterns on a cylindrical foam substrate are discussed: transverse for bending, longitudinal for tilting, and diagonal for twisting. A computational model is built with Finite Element Analysis (FEA), to investigate the mechanism of the incision-patterning method. Experiments demonstrate that with a potential optimal design of the pattern array number N, actuators can achieve bending up to $80^{\circ}$ (N=2), tilting of $18^{\circ}$ (N=1), and twisting of $115^{\circ}$ (N=8). The versatility of our approach is demonstrated via pattern transferability, scalability, and mold-less rapid prototyping of complex designs. As a comprehensive application, we translate the human hand crease map into a functional incision pattern, creating a bio-inspired soft robot hand capable of human-like adaptive grasping. Our work provides a new, efficient, and scalable paradigm for the design of multi-functional soft porous robots.
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