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Computational Design of Self-actuated Deformable Solids via Shape Memory Material.

Sun, Y, Ouyang, W, Liu, Z, Ni, N, Savoye, Y, Song, P and Liu, L (2020) Computational Design of Self-actuated Deformable Solids via Shape Memory Material. IEEE Transactions on Visualization and Computer Graphics. ISSN 1077-2626

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Abstract

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.

Item Type: Article
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: 0801 Artificial Intelligence and Image Processing, 0802 Computation Theory and Mathematics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Computer Science & Mathematics
Publisher: IEEE
Related URLs:
Date Deposited: 01 Dec 2020 09:51
Last Modified: 01 Dec 2020 10:00
DOI or Identification number: 10.1109/TVCG.2020.3039613
URI: https://researchonline.ljmu.ac.uk/id/eprint/14103

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