Large deformation analysis of the magneto-responsive beam and its applications in flexible grippers and robots

IF 2.7 3区 材料科学 Q2 ENGINEERING, MECHANICAL International Journal of Mechanics and Materials in Design Pub Date : 2024-02-23 DOI:10.1007/s10999-024-09708-6
Shiyang Liu, Gongqi Cao, Yuchen Jin, Jianlin Liu
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Abstract

Due to their superior biocompatibility, flexibility and control strategy compared to the traditional robots, soft robots have been widely used in a wide spectrum of engineering areas, such as biomedical, exploration, aerospace, intelligent devices and other fields. However, the existing soft robot structures mainly focus on employing homogeneous materials, which greatly limits the design flexibilities of soft robots, and correspondingly, the existing theories are usually invalid for calculating heterogeneous large deformation beam models. Therefore, we developed a novel simulation method and an advanced theoretical calculation method for representing the large deformation of both the homogeneous and heterogeneous beams made of magneto-responsive materials prepared by mixing silicon rubber with NdFeB particles. We found the experimental and numerical results agree very well, showing that the heterogeneous beam can demonstrate a better driving performance than the homogeneous beam. Optimal parameters are afterwards obtained based on the developed simulation and theorical methods. Next, we generalize the optimized heterogeneous structure to engineer the flexible gripper and the soft robot. The grasping forces of the gripper are calculated based on the variational model of large deformation beams, which are consistent with the simulation and experimental values. Moreover, the motion mechanism of magnetic soft robot has been revealed through comprehensive force analysis and formulaic rigid body motion analysis. These findings have strengthened our understandings on the deformation of slender structures and the locomotion of magnetic soft robot, which are promising to guide the design and analysis of innovative devices and robots.

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磁响应梁的大变形分析及其在柔性抓手和机器人中的应用
与传统机器人相比,软机器人具有更优越的生物相容性、灵活性和控制策略,已被广泛应用于生物医学、勘探、航空航天、智能设备等多个工程领域。然而,现有的软机器人结构主要集中于采用同质材料,这极大地限制了软机器人的设计灵活性,相应地,现有理论通常也无法计算异质大变形梁模型。因此,我们开发了一种新颖的模拟方法和先进的理论计算方法,用于表示由硅橡胶与钕铁硼颗粒混合制备的磁响应材料制成的同质和异质梁的大变形。我们发现实验结果和数值结果非常吻合,表明异质梁比同质梁具有更好的驱动性能。随后,根据所开发的模拟和理论方法,我们获得了最佳参数。接下来,我们将优化后的异质结构推广到柔性抓手和软体机器人的设计中。根据大变形梁的变分模型计算了抓手的抓取力,结果与模拟和实验值一致。此外,通过综合受力分析和公式化刚体运动分析,揭示了磁性软机器人的运动机理。这些发现加深了我们对细长结构变形和磁软机器人运动的理解,有望指导创新装置和机器人的设计与分析。
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来源期刊
International Journal of Mechanics and Materials in Design
International Journal of Mechanics and Materials in Design ENGINEERING, MECHANICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
6.00
自引率
5.40%
发文量
41
审稿时长
>12 weeks
期刊介绍: It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design. Analytical synopsis of contents: The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design: Intelligent Design: Nano-engineering and Nano-science in Design; Smart Materials and Adaptive Structures in Design; Mechanism(s) Design; Design against Failure; Design for Manufacturing; Design of Ultralight Structures; Design for a Clean Environment; Impact and Crashworthiness; Microelectronic Packaging Systems. Advanced Materials in Design: Newly Engineered Materials; Smart Materials and Adaptive Structures; Micromechanical Modelling of Composites; Damage Characterisation of Advanced/Traditional Materials; Alternative Use of Traditional Materials in Design; Functionally Graded Materials; Failure Analysis: Fatigue and Fracture; Multiscale Modelling Concepts and Methodology; Interfaces, interfacial properties and characterisation. Design Analysis and Optimisation: Shape and Topology Optimisation; Structural Optimisation; Optimisation Algorithms in Design; Nonlinear Mechanics in Design; Novel Numerical Tools in Design; Geometric Modelling and CAD Tools in Design; FEM, BEM and Hybrid Methods; Integrated Computer Aided Design; Computational Failure Analysis; Coupled Thermo-Electro-Mechanical Designs.
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