Static Structural Analysis on Different Topology Optimization Transtibial Prosthetic Socket Leg

The transtibial Prosthetic Socket serves as the primary connection between the residual limb of an amputee and the prosthesis. The socket must provide a secure and stable base for the amputee to bear their body weight and move around comfortably. Topological optimization is a process that aims to im...

Full description

Bibliographic Details
Published in:International Journal of Technology
Main Author: Norli M.H.M.; Sukimi A.K.A.; Ramlee M.H.; Mahmud J.; Abdullah A.H.
Format: Article
Language:English
Published: Faculty of Engineering, Universitas Indonesia 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185252875&doi=10.14716%2fijtech.v15i2.6711&partnerID=40&md5=3817d41fe6d5019c49b8eb66893c679a
Description
Summary:The transtibial Prosthetic Socket serves as the primary connection between the residual limb of an amputee and the prosthesis. The socket must provide a secure and stable base for the amputee to bear their body weight and move around comfortably. Topological optimization is a process that aims to improve the mechanical properties of the prosthetic socket. It involves designing a structure that minimizes stress concentrations and maximizes strength while using the least amount of material. The objective of this study is to improve the parametric design of the transtibial socket prosthesis through topology optimization and determine the stress performance of 3D-printed transtibial sockets using static structural analysis. The method used is Finite Element Analysis (FEA) simulations of forces onto the socket during phases of walking on different topology-optimized socket designs and using the same material, which is ABS. Furthermore, the results were analyzed through static structural analysis using ANSYS software. The analysis revealed that a reduction in the weight of the model correlates with an increase in stress thus may contribute to material fatigue and reducing long term performance. © 2024, Faculty of Engineering. All rights reserved.
ISSN:20869614
DOI:10.14716/ijtech.v15i2.6711