Literature DB >> 29924698

A Novel Soft Pneumatic Artificial Muscle with High-Contraction Ratio.

Kwanghyun Han1, Nam-Ho Kim2, Dongjun Shin2.   

Abstract

There is a growing interest in soft actuators for human-friendly robotic applications. However, it is very challenging for conventional soft actuators to achieve both a large working distance and high force. To address this problem, we present a high-contraction ratio pneumatic artificial muscle (HCRPAM), which has a novel actuation concept. The HCRPAM can contract substantially while generating a large force suitable for a wide range of robotic applications. Our proposed prototyping method allows for an easy and quick fabrication, considering various design variables. We derived a mathematical model using a virtual work principle, and validated the model experimentally. We conducted simulations for the design optimization using this model. Our experimental results show that the HCRPAM has a 183.3% larger contraction ratio and 37.1% higher force output than the conventional pneumatic artificial muscle (McKibben muscle). Furthermore, the actuator has a compatible position tracking performance of 1.0 Hz and relatively low hysteresis error of 4.8%. Finally, we discussed the controllable bending characteristics of the HCRPAM, which uses heterogeneous materials and has an asymmetrical structure to make it comfortable for a human to wear.

Entities:  

Keywords:  3D printing; high-contraction ratio; safe actuator; soft pneumatic actuators

Mesh:

Year:  2018        PMID: 29924698     DOI: 10.1089/soro.2017.0114

Source DB:  PubMed          Journal:  Soft Robot        ISSN: 2169-5172            Impact factor:   8.071


  2 in total

Review 1.  Bio-Inspired Soft Grippers Based on Impactive Gripping.

Authors:  Liang Zhou; Lili Ren; You Chen; Shichao Niu; Zhiwu Han; Luquan Ren
Journal:  Adv Sci (Weinh)       Date:  2021-03-02       Impact factor: 16.806

2.  Modeling and Analysis of a High-Displacement Pneumatic Artificial Muscle With Integrated Sensing.

Authors:  Hee Doo Yang; Brandyn T Greczek; Alan T Asbeck
Journal:  Front Robot AI       Date:  2019-01-07
  2 in total

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