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Shape-programmable magnetic soft matter

2016; National Academy of Sciences; Volume: 113; Issue: 41 Linguagem: Inglês

10.1073/pnas.1608193113

1091-6490

Guo Zhan Lum, Ye Zhou, Xiaoguang Dong, Hamidreza Marvi, Önder Erin, Wenqi Hu, Metin Sitti,

Modular Robots and Swarm Intelligence

Significance At small scales, shape-programmable magnetic materials have significant potential to achieve mechanical functionalities that are unattainable by traditional miniature machines. Unfortunately, these materials have only been programmed for a small number of specific applications, as previous work can only rely on human intuition to approximate the required magnetization profile and actuating magnetic fields for such materials. Here, we propose a universal programming methodology that can automatically generate the desired magnetization profile and actuating fields for soft materials to achieve new time-varying shapes. The proposed method can enable other researchers to fully capitalize the potential of shape-programming technologies, allowing them to create a wide range of novel soft active surfaces and devices that are critical in robotics, material science, and medicine.