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author:

Xue, X. (Xue, X..) [1] | Zhan, Z. (Zhan, Z..) [2] | Cai, Y. (Cai, Y..) [3] | Yao, L. (Yao, L..) [4] | Lu, Z. (Lu, Z..) [5]

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Scopus

Abstract:

Soft fluid actuators consisting of the flexible materials are of particular interest to the robotics field because of the low cost and the potential applications, which can be easily customized to a given devices. However, the great potential of such actuators is currently limited due to that their designs are mostly based on experience. In this paper, we designed and manufactured a fiber-reinforced soft pneumatic actuator. Through ingenious design, the actuator can produce bending movement under low pressure, which has simple structure, convenient fabrication and low cost. This paper provides a finite-element method (FEM) model for the bending of the fiber-reinforced soft pneumatic actuator in the free space, which can present a more realistic description of the nonlinear response of the system. With the FEM model, the deformation and stress of the soft actuators can be visualized readily, leading to a better understanding about the influence of geometric parameters, input air pressure and material selection on bending angel performance. Finally, corresponding experiments have also been taken, successfully demonstrating the validity of the FEM model. © 2019, Springer Nature Switzerland AG.

Keyword:

Fiber-reinforced; Finite element model; Simulation; Soft robot

Community:

  • [ 1 ] [Xue, X.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, Fujian 350116, China
  • [ 2 ] [Zhan, Z.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, Fujian 350116, China
  • [ 3 ] [Cai, Y.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, Fujian 350116, China
  • [ 4 ] [Yao, L.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, Fujian 350116, China
  • [ 5 ] [Lu, Z.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, Fujian 350116, China

Reprint 's Address:

  • [Yao, L.]School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, China

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Source :

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 0302-9743

Year: 2019

Volume: 11740 LNAI

Page: 641-651

Language: English

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JCR@2005

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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