Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of unit cell model for prediction of large deformation in SMA-textile base actuator

Authors
Elahi, Muhammad UmarKhalid, SalmanSong, JinwooKim, Heung Soo
Issue Date
May-2024
Publisher
SPIE
Keywords
Constitutive model; dielectric elastomers; equivalent unit cell model; large deformation; large deformation; mechanical behavior; SMA-Textile actuator; soft actuator design; soft robotics
Citation
Proceedings of SPIE - The International Society for Optical Engineering, v.12948
Indexed
SCOPUS
Journal Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
12948
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22413
DOI
10.1117/12.3009882
ISSN
0277-786X
1996-756X
Abstract
Shape memory alloys (SMA)-textile-based actuators have gained significant attention for their applications in various fields, including soft robotics and wearable devices. Nowadays, soft actuators are created using SMA and macro fiber composites (MFC). SMA is a highly nonlinear material, and textile fiber-wrapped SMA wires are employed to craft shape-morphing structures and actuation sheets through the knitting method. This process requires expertise and time, leading to high costs for producing an actuation sheet. In this research work, ABAQUS is utilized to construct an equivalent unit cell model based on linear constitutive equations for analyzing the behavior of knitted SMA-textile-based actuators. The actuation deformation of the P-loop is obtained using the user material subroutine (UMAT). Strain is the primary output focused on in this study, with elastic material properties and electric field as the input parameters. By incorporating the linear constitutive equations, the actuation of basic patterns and derived patterns is successfully compared with experimental results. The proposed model predicts a similar deformation of the actuation pattern sheets of the SMA-textile-based actuator, justifying the proposed equivalent unit cell model. © 2024 SPIE.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Heung Soo photo

Kim, Heung Soo
College of Engineering (Department of Mechanical, Robotics and Energy Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE