Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
Последовательные самосворачивающиеся структуры из 3D-печатных цифровых полимеров с эффектом памяти формы
2015-09-08
SCID: 54.1/n7tujs9h
Discuss with AI
3D printed spatially-variable patternsdigital shape memory polymersfinite element simulationsreduced-order modelself-collision prediction metricself-locking configurationssequential self-foldingthermal activation sequencing
Figures from the paper
Abstract (AI)
Folding is ubiquitous in nature with examples ranging from the formation of cellular components to winged insects. It finds technological applications including packaging of solar cells and space structures, deployable biomedical devices, and self-assembling robots and airbags. Here we demonstrate sequential self-folding structures realized by thermal activation of spatially-variable patterns that are 3D printed with digital shape memory polymers, which are digital materials with different shape memory behaviors. The time-dependent behavior of each polymer allows the temporal sequencing of activation when the structure is subjected to a uniform temperature. This is demonstrated via a series of 3D printed structures that respond rapidly to a thermal stimulus, and self-fold to specified shapes in controlled shape changing sequences. Measurements of the spatial and temporal nature of self-folding structures are in good agreement with the companion finite element simulations. A simplified reduced-order model is also developed to rapidly and accurately describe the self-folding physics. An important aspect of self-folding is the management of self-collisions, where different portions of the folding structure contact and then block further folding. A metric is developed to predict collisions and is used together with the reduced-order model to design self-folding structures that lock themselves into stable desired configurations.
Key Findings
1
3D printed structures respond rapidly to thermal stimulus and self-fold into specified shapes following controlled shape-changing sequences.
2
A metric to predict self-collisions during folding is developed and used with the reduced-order model to design structures that lock into stable configurations.
3
A simplified reduced-order model is developed that rapidly and accurately describes the self-folding physics.
4
Different digital shape memory polymers exhibit time-dependent behaviors that enable temporal sequencing of activation under a uniform temperature.
5
Sequential self-folding structures are realized by thermal activation of spatially-variable patterns 3D printed with digital shape memory polymers.
6
Spatial and temporal measurements of self-folding agree well with companion finite element simulations.
Research Object
3D printed sequential self-folding structures made from digital shape memory polymers
Research Subject
Temporal sequencing and spatial-temporal self-folding behavior under uniform thermal activation, including activation timing via polymer time-dependent behavior, collision prediction/management, and locking into stable configurations
Publication Details
Publication Date
2015-09-08
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest