Computational Design of Self-Actuated Deformable Solids via Shape Memory Material
| Autor: | Peng Song, Ligang Liu, Yann Savoye, Ning Ni, Zhong-Yuan Liu, Wenqing Ouyang, Yucheng Sun |
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| Rok vydání: | 2022 |
| Předmět: |
QA75
Parallelizable manifold T1 Deformation (mechanics) business.industry Computer science Constitutive equation 3D printing 020207 software engineering 02 engineering and technology Shape-memory alloy Object (computer science) Computer Graphics and Computer-Aided Design Computational science Shape-memory polymer Signal Processing 0202 electrical engineering electronic engineering information engineering Computer Vision and Pattern Recognition State (computer science) Deformation (engineering) business Software |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 28:2577-2588 |
| ISSN: | 2160-9306 1077-2626 |
| Popis: | The emerging 4D printing techniques open new horizons for fabricating self-actuated deformable objects by combing strength of 3D printing and stimuli-responsive shape memory materials. This work focuses on designing self-actuated deformable solids for 4D printing such that a solid can be programmed into a temporary shape and later recovers to its original shape after heating. To avoid a high material cost, we choose a dual-material strategy that mixes an expensive thermo-responsive shape memory polymer (SMP) material with a common elastic material, % for fabricating objects, which however leads to undesired deformation at the shape programming stage. We model this shape programming process as two elastic models with different parameters linked by a median shape based on customizing a constitutive model of thermo-responsive SMPs. Taking this material modeling as a foundation, we formulate our design problem as a nonconvex optimization to find the distribution of SMP materials over the whole object as well as the median shape, and develop an efficient and parallelizable method to solve it. We show that our proposed approach is able to design self-actuated deformable objects that cannot be achieved by state of the art approaches, and demonstrate their usefulness with three example applications. |
| Databáze: | OpenAIRE |
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