Evolutionary Algorithm‐Guided Voxel‐Encoding Printing of Functional Hard‐Magnetic Soft Active Materials. (26th May 2020)
- Record Type:
- Journal Article
- Title:
- Evolutionary Algorithm‐Guided Voxel‐Encoding Printing of Functional Hard‐Magnetic Soft Active Materials. (26th May 2020)
- Main Title:
- Evolutionary Algorithm‐Guided Voxel‐Encoding Printing of Functional Hard‐Magnetic Soft Active Materials
- Authors:
- Wu, Shuai
Hamel, Craig M.
Ze, Qiji
Yang, Fengyuan
Qi, H. Jerry
Zhao, Ruike - Abstract:
- Abstract : Hard‐magnetic soft active materials (hmSAMs), embedding hard‐magnetic particles in soft polymeric matrices, have attracted a great number of research interests due to their fast‐transforming, untethered control, as well as excellent programmability. However, the current direct‐ink‐write (DIW) printing‐based fabrication of hmSAM parts and structures only permits programmable magnetic direction with a constant magnetic density. Also, the existing designs rely on the brute‐force approach to generate the assignment of magnetization direction distribution, which can only produce intuitional deformations. These two factors greatly limit the design space and the application potentials of hmSAMs. Herein, a "voxel‐encoding DIW printing" method to program both the magnetic density and direction distributions during hmSAM printing is introduced. The voxel‐encoding DIW printing is then integrated with an evolutionary algorithm (EA)‐based design strategy to achieve the desired magnetic actuation and motion with complex geometry variations and curvature distributions. With the new EA‐guided voxel‐encoding DIW printing technique, the functional hmSAMs that produce complicated shape morphing with desired curvature distributions for advanced applications such as biomimetic motions are demonstrated. These demonstrations indicate that the proposed EA‐guided voxel‐encoding DIW printing method significantly broadens the application potentials of hmSAMs. Abstract : EvolutionaryAbstract : Hard‐magnetic soft active materials (hmSAMs), embedding hard‐magnetic particles in soft polymeric matrices, have attracted a great number of research interests due to their fast‐transforming, untethered control, as well as excellent programmability. However, the current direct‐ink‐write (DIW) printing‐based fabrication of hmSAM parts and structures only permits programmable magnetic direction with a constant magnetic density. Also, the existing designs rely on the brute‐force approach to generate the assignment of magnetization direction distribution, which can only produce intuitional deformations. These two factors greatly limit the design space and the application potentials of hmSAMs. Herein, a "voxel‐encoding DIW printing" method to program both the magnetic density and direction distributions during hmSAM printing is introduced. The voxel‐encoding DIW printing is then integrated with an evolutionary algorithm (EA)‐based design strategy to achieve the desired magnetic actuation and motion with complex geometry variations and curvature distributions. With the new EA‐guided voxel‐encoding DIW printing technique, the functional hmSAMs that produce complicated shape morphing with desired curvature distributions for advanced applications such as biomimetic motions are demonstrated. These demonstrations indicate that the proposed EA‐guided voxel‐encoding DIW printing method significantly broadens the application potentials of hmSAMs. Abstract : Evolutionary algorithm‐guided voxel‐encoding direct‐ink‐writing printing is a method to program both the magnetic direction and density distributions of the hard‐magnetic soft active materials. This allows desired magnetic actuation with the predesigned curvature distribution of the materials, demonstrating advanced applications including morphing structures and biomimetic robots of a crawling worm and a dog trot. … (more)
- Is Part Of:
- Advanced intelligent systems. Volume 2:Number 8(2020)
- Journal:
- Advanced intelligent systems
- Issue:
- Volume 2:Number 8(2020)
- Issue Display:
- Volume 2, Issue 8 (2020)
- Year:
- 2020
- Volume:
- 2
- Issue:
- 8
- Issue Sort Value:
- 2020-0002-0008-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-05-26
- Subjects:
- 4D printing -- evolutionary algorithm -- magnetic soft materials -- soft active materials
Artificial intelligence -- Periodicals
Robotics -- Periodicals
Control theory -- Periodicals
006.3 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://onlinelibrary.wiley.com/journal/26404567 ↗ - DOI:
- 10.1002/aisy.202000060 ↗
- Languages:
- English
- ISSNs:
- 2640-4567
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19197.xml