4D printing parameters optimisation for bi-stable soft robotic gripper design

Zolfagharian, A., Lakhi, M., Ranjbar, S., Sayah Irani, M., Nafea, M. and Bodaghi, M. ORCID: 0000-0002-0707-944X, 2023. 4D printing parameters optimisation for bi-stable soft robotic gripper design. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45 (4): 224. ISSN 1678-5878

[img]
Preview
Text
1751338_Bodaghi.pdf - Published version

Download (2MB) | Preview

Abstract

Four-dimensional (4D) printing is an emerging additive manufacturing (AM) technology that adds a time-dependent reconfiguration dimension to three-dimensional (3D) printed products. It enables the creation of on-demand, dynamically controllable shapes, or properties in response to external stimuli such as temperature, magnetic field, and light. Thermally responsive structures are among the most popular types of currently available 4D-printed structures due to their convenience. However, applications like soft robots are hindered by the temperature-sensitive structures' stagnating actuation. This research was driven by a requirement for a rapid and effective design and optimisation strategy for 4D-printed bi-stable thermally responsive structures for use in soft robotics. In this study, the response surface method (RSM) optimization with the aid of numerical solutions was used to investigate effective parameters in the design of a bi-stable, 4D-printed soft robotic gripper. This approach is proposed to accelerate the actuation of thermally responsive shape-morphing structures that can be controlled by the in situ strains and post-manufacturing heat stimuli as variable parameters. By using RSM solution the individual effects as well as the coupling effects of variable parameters on the output responses, including the maximum strain energy and the average distance between the clamps of the structure, are evaluated. The obtained results can be employed to develop the designation and improve the acceleration of soft robotic grippers such as fast buckling and bending, which is desirable for soft robotic applications.

Item Type: Journal article
Publication Title: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Creators: Zolfagharian, A., Lakhi, M., Ranjbar, S., Sayah Irani, M., Nafea, M. and Bodaghi, M.
Publisher: Springer
Date: April 2023
Volume: 45
Number: 4
ISSN: 1678-5878
Identifiers:
NumberType
10.1007/s40430-023-04171-4DOI
1751338Other
Rights: © the authors 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 18 Apr 2023 08:20
Last Modified: 18 Apr 2023 08:20
URI: https://irep.ntu.ac.uk/id/eprint/48759

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year