Detailed Information

Cited 2 time in webofscience Cited 3 time in scopus
Metadata Downloads

Fluid-Structure Interaction Based on Meshless Local Petrov-Galerkin Method for Worm Soft Robot Analysis

Authors
Moon, Dae-HwanShin, Seung-HyunNa, Jong-BeomHan, Seog-Young
Issue Date
May-2020
Publisher
KOREAN SOC PRECISION ENG
Keywords
Worm soft robot; Meshless local Petrov-Galerkin (MLPG); Fluid-structure interaction (FSI); Level set method (LSM); Hyperelastic material
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, v.7, no.3, pp.727 - 742
Indexed
SCIE
SCOPUS
KCI
Journal Title
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
Volume
7
Number
3
Start Page
727
End Page
742
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9819
DOI
10.1007/s40684-019-00186-2
ISSN
2288-6206
Abstract
The purpose of this study was to develop a two-way fluid-structure interaction (FSI) method using the meshless local Petrov-Galerkin (MLPG) method for both the structure and the fluid to accurately predict the nonlinear behavior of a worm soft robot. Previous research on soft robots has been mainly performed by finite element analysis (FEA). However, the nonlinear behavior of a soft robot causes element distortion and discontinuous stress between the adjacent elements, even when adaptive mesh is employed in the FEA. Therefore, MLPG was employed here to precisely predict the nonlinear behavior of a soft robot without using finite elements. In addition, a pneumatic soft robot simulation requires two-way FSI analysis that can transmit and receive data between the fluid and the structure, and the structure and the fluid, in sequence. To improve accuracy for the interface, the arbitrary Lagrangian-Eulerian method and the level set method were applied here. It was verified that the maximum errors of the finite element method FSI and the developed MLPG FSI method were 4.69%, and 0.77%, respectively, and the latter method required fewer nodes than FEM.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 기계공학부 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Han, Seog Young photo

Han, Seog Young
COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE