A Structural Optimisation Method for a Soft Pneumatic Actuator

This study aims to investigate the effects of various design parameters on the actuation performance of a pneumatic network actuator (PNA), optimise its structure using the finite element method (FEM), and subsequently quantify the performance of the resulting actuator topology experimentally. The e...

Full description

Bibliographic Details
Main Authors: Weiping Hu, Rahim Mutlu, Weihua Li, Gursel Alici
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Robotics
Subjects:
Online Access:http://www.mdpi.com/2218-6581/7/2/24
_version_ 1817987262913183744
author Weiping Hu
Rahim Mutlu
Weihua Li
Gursel Alici
author_facet Weiping Hu
Rahim Mutlu
Weihua Li
Gursel Alici
author_sort Weiping Hu
collection DOAJ
description This study aims to investigate the effects of various design parameters on the actuation performance of a pneumatic network actuator (PNA), optimise its structure using the finite element method (FEM), and subsequently quantify the performance of the resulting actuator topology experimentally. The effects of the structural parameters, including the operation pressure, the wall thickness and the gap between the chambers, bottom layer thickness, and the geometry of the channel cross section, on the deformation and bending angle of the actuator were evaluated to optimise the performance of the pneumatic actuator. A Global Analysis of Variance (ANOVA) was performed to investigate how the variables affect the mechanical output of the actuator and, thus, the significance of variables affecting the deformation (and bending angle) of the pneumatic actuator was identified. After the parameter optimisation, a pneumatic channel with a 4.5 mm bottom layer thickness, 1.5 mm wall thickness, and 1.5 mm gap between sequential chambers is recommended to perform optimised bending motion for the pneumatic network actuator. The optimised FE model results were verified experimentally. This design optimisation method based on the FEM and ANOVA analysis can be extended to the topology optimisation of other soft actuators.
first_indexed 2024-04-14T00:19:46Z
format Article
id doaj.art-289f285217f64a83b0a182312ab6b89f
institution Directory Open Access Journal
issn 2218-6581
language English
last_indexed 2024-04-14T00:19:46Z
publishDate 2018-06-01
publisher MDPI AG
record_format Article
series Robotics
spelling doaj.art-289f285217f64a83b0a182312ab6b89f2022-12-22T02:23:00ZengMDPI AGRobotics2218-65812018-06-01722410.3390/robotics7020024robotics7020024A Structural Optimisation Method for a Soft Pneumatic ActuatorWeiping Hu0Rahim Mutlu1Weihua Li2Gursel Alici3School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522 NSW, AustraliaSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522 NSW, AustraliaSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522 NSW, AustraliaSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522 NSW, AustraliaThis study aims to investigate the effects of various design parameters on the actuation performance of a pneumatic network actuator (PNA), optimise its structure using the finite element method (FEM), and subsequently quantify the performance of the resulting actuator topology experimentally. The effects of the structural parameters, including the operation pressure, the wall thickness and the gap between the chambers, bottom layer thickness, and the geometry of the channel cross section, on the deformation and bending angle of the actuator were evaluated to optimise the performance of the pneumatic actuator. A Global Analysis of Variance (ANOVA) was performed to investigate how the variables affect the mechanical output of the actuator and, thus, the significance of variables affecting the deformation (and bending angle) of the pneumatic actuator was identified. After the parameter optimisation, a pneumatic channel with a 4.5 mm bottom layer thickness, 1.5 mm wall thickness, and 1.5 mm gap between sequential chambers is recommended to perform optimised bending motion for the pneumatic network actuator. The optimised FE model results were verified experimentally. This design optimisation method based on the FEM and ANOVA analysis can be extended to the topology optimisation of other soft actuators.http://www.mdpi.com/2218-6581/7/2/24pneumatic actuatorssoft roboticsFEMsimulationdesign optimisation
spellingShingle Weiping Hu
Rahim Mutlu
Weihua Li
Gursel Alici
A Structural Optimisation Method for a Soft Pneumatic Actuator
Robotics
pneumatic actuators
soft robotics
FEM
simulation
design optimisation
title A Structural Optimisation Method for a Soft Pneumatic Actuator
title_full A Structural Optimisation Method for a Soft Pneumatic Actuator
title_fullStr A Structural Optimisation Method for a Soft Pneumatic Actuator
title_full_unstemmed A Structural Optimisation Method for a Soft Pneumatic Actuator
title_short A Structural Optimisation Method for a Soft Pneumatic Actuator
title_sort structural optimisation method for a soft pneumatic actuator
topic pneumatic actuators
soft robotics
FEM
simulation
design optimisation
url http://www.mdpi.com/2218-6581/7/2/24
work_keys_str_mv AT weipinghu astructuraloptimisationmethodforasoftpneumaticactuator
AT rahimmutlu astructuraloptimisationmethodforasoftpneumaticactuator
AT weihuali astructuraloptimisationmethodforasoftpneumaticactuator
AT gurselalici astructuraloptimisationmethodforasoftpneumaticactuator
AT weipinghu structuraloptimisationmethodforasoftpneumaticactuator
AT rahimmutlu structuraloptimisationmethodforasoftpneumaticactuator
AT weihuali structuraloptimisationmethodforasoftpneumaticactuator
AT gurselalici structuraloptimisationmethodforasoftpneumaticactuator