Jiang Hao, Gu Hongri, Nelson Bradley J, Zhang Teng
Department of Mechanical and Aerospace Engineering Syracuse University, Syracuse, NY 13244, USA; BioInspired Syracuse Syracuse, University Syracuse, NY 13244, USA.
Department of Physics, University of Konstanz, 78464 Konstanz, Germany.
Adv Intell Syst. 2023 Oct;5(10). doi: 10.1002/aisy.202300212. Epub 2023 Jul 20.
Metachronal motions are ubiquitous in terrestrial and aquatic organisms and have attracted substantial attention in engineering for their potential applications. Hard-magnetic soft materials are shown to provide new opportunities for metachronal wave-modulated robotic locomotion by multi-agent active morphing in response to external magnetic fields. However, the design and optimization of such magnetic soft robots can be complex, and the fabrication and magnetization processes are often delicate and time-consuming. Herein, a computational model is developed that integrates granular models into a magnetic-lattice model, both of which are implemented in the highly efficient parallel computing platform large-scale atomic/molecular massively parallel simulator (LAMMPS). The simulations accurately reproduce the deformation of single cilium, the metachronal wave motion of multiple cilia, and the crawling and rolling locomotion of magnetic cilia soft robots. Furthermore, the simulations provide insight into the spatial and temporal variation of friction forces and trajectories of cilia tips. The results contribute to the understanding of metachronal wave-modulated locomotion and potential applications in the field of soft robotics and biomimetic engineering. The developed model also provides a versatile computational framework for simulating the movement of magnetic soft robots in realistic environments and has the potential to guide the design, optimization, and customization of these systems.
相继运动在陆地和水生生物中普遍存在,并因其潜在应用在工程领域引起了广泛关注。硬磁软材料通过多智能体在外部磁场作用下的主动变形,为相继波调制的机器人运动提供了新机遇。然而,此类磁性软机器人的设计与优化可能很复杂,其制造和磁化过程通常精细且耗时。在此,开发了一种计算模型,将颗粒模型集成到磁晶格模型中,这两种模型均在高效并行计算平台大规模原子/分子大规模并行模拟器(LAMMPS)中实现。模拟准确再现了单个纤毛的变形、多个纤毛的相继波动以及磁性纤毛软机器人的爬行和滚动运动。此外,模拟还揭示了摩擦力的时空变化以及纤毛尖端的轨迹。这些结果有助于理解相继波调制的运动以及在软机器人技术和仿生工程领域的潜在应用。所开发的模型还为模拟磁性软机器人在实际环境中的运动提供了一个通用的计算框架,并有潜力指导这些系统的设计、优化和定制。