Modeling Propulsion of Soft Magnetic Nanowires

Mirzae, Yoni; Rubinstein, Boris; Morozov, Konstantin I.; Leshansky, Alexander

doi:10.3389/frobt.2020.595777

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…In other studies, the discrete elastic rod method was used to predict the structural kinematics of soft robotic swimmers [46], the propulsion of compliant magnetic nanowires has been analyzed using a bead-spring model to incorporate both the large deformation geometric nonlinearity and the associated hydrodynamic interactions [47], and the multiphysics coupling behavior of a magnetically propelled fish-inspired robotic swimmer has been studied using COMSOL [48]. In addition, several efficient numerical techniques have been used, such as the finite element method [49], boundary element method [27], and lattice Boltzmann method [50] (to name a few), for predicting the overall system dynamics and spatiotemporal evolution of the state variables.…”

Section: Introductionmentioning

confidence: 99%

Magnetic-field-induced propulsion of jellyfish-inspired soft robotic swimmers

2023

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The multifaceted appearance of soft robots in the form of swimmers, catheters, surgical devices, and drugcarrier vehicles in biomedical and microfluidic applications is ubiquitous today. Jellyfish-inspired soft robotic swimmers (jellyfishbots) have been fabricated and experimentally characterized by several researchers that reported their swimming kinematics and multimodal locomotion. However, the underlying physical mechanisms that govern magnetic-field-induced propulsion are not yet fully understood. Here, we use a robust and efficient computational framework to study the jellyfishbot swimming kinematics and the induced flow field dynamics through numerical simulation. We consider a two-dimensional model jellyfishbot that has flexible lappets, which are symmetric about the jellyfishbot center. These lappets exhibit flexural deformation when subjected to external magnetic fields to displace the surrounding fluid, thereby generating the thrust required for propulsion. We perform a parametric sweep to explore the jellyfishbot kinematic performance for different system parameters-structural, fluidic, and magnetic. In jellyfishbots, the soft magnetic composite elastomeric lappets exhibit temporal and spatial asymmetries when subjected to unsteady external magnetic fields. The average speed is observed to be dependent on both these asymmetries, quantified by the glide magnitude and the net area swept by the lappet tips per swimming cycle, respectively. We observe that a judicious choice of the applied magnetic field and remnant magnetization profile in the jellyfishbot lappets enhances both these asymmetries. Furthermore, the dependence of the jellyfishbot swimming speed upon the net area swept (spatial asymmetry) is twice as high as the dependence of speed on the glide ratio (temporal asymmetry). Finally, functional relationships between the swimming speed and different kinematic parameters and nondimensional numbers are developed. Our results provide guidelines for the design of improved jellyfish-inspired magnetic soft robotic swimmers.

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Section: Introductionmentioning

confidence: 99%

Magnetic-field-induced propulsion of jellyfish-inspired soft robotic swimmers

2023

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“…The aim of this paper is to present the dynamical contribution to conformation in the three-body system. It is worth noting that the beadspring model mimics several systems: a polymer [15,16], a microscopic artificial swimmer [17], a soft magnetic nanowire [18], and a semiflexible macromolecule [19]. A theoretical analysis reveals that the essence of DIC is existence of multiple timescales, which is realized in the bead-spring model by stiff springs and slow bending motion.…”

Section: Introductionmentioning

confidence: 99%

Dynamically induced conformation depending on excited normal modes of fast oscillation

et al. 2022

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We present dynamical effects on conformation in a simple bead-spring model consisting of three beads connected by two stiff springs. The conformation defined by the bending angle between the two springs is determined not only by a given potential energy function depending on the bending angle, but also by fast motion of the springs which constructs the effective potential. A conformation corresponding with a local minimum of the effective potential is hence called the dynamically induced conformation. We develop a theory to derive the effective potential using multiple-scale analysis and the averaging method. A remarkable consequence is that the effective potential depends on the excited normal modes of the springs and amount of the spring energy. Efficiency of the obtained effective potential is numerically verified.

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“…1,4 Inspired by flagellar beating, artificial flexible swimmers consisting of magnetic particles and DNA, 17,18 nanowires, 19,20 hydrogels, 21 and other polymers 22,23 have been developed. Propulsion of these flexible structures, also known as elastohydrodynamic propulsion, [24][25][26][27][28][29][30][31][32][33][34] emerges as a result of the interplay between hydrodynamic and elastic forces. More recent studies have examined factors such as variable bending stiffness, 18,35 intrinsic curvatures, [36][37][38] and magnetic particle geometries 39 to enhance elastohydrodynamic propulsion.…”

Section: Introductionmentioning

confidence: 99%