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Distributed Algorithms for Stiffness and Shape Changing Computational Meta-Materials.
| 题名： | Distributed Algorithms for Stiffness and Shape Changing Computational Meta-Materials. |
| 作者： | Correll, N. |
| 关键词： | Data set, Artificial neural networks, Bending moments, Computations, Computer programs, Learning, Printed circuits, Production engineering, Robotics, Soft robotics, Circuit boards, Manufacturing, Thermoplastic resins, Actuators, Algorithms, Computer science, Machine learning, Signal processing, Materials, Composite materials |
| 摘要： | This research has led to novel devices, distributed algorithms and tools for smart composites that can change their shape by controlling theirstiffness. The composite consists of variable stiffness actuators based on thermoplastic polymers, nichrome wiring, temperature sensor, and anetworked microcontroller. The microcontrollers work in concert to calculate the required stiffness in order to achieve any desired shape. Thealgorithm for shape change is fully distributed and scales well with the size of the material and the number of elements. The approach has beenexperimentally validated on a beam of six variable stiffness elements that autonomously achieved a variety of shapes just using electricity and abending moment. |
| 报告类型： | 科技报告 |
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