Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)

Geometry Reconstruction and Performance Evaluation of Energy Storage and Return (ESR) Prosthetic Foot with CAD-FEA Method

Authors
Dhananjaya Kumarajati1, *, Hasti Marfuah1, Venti Yoanita1
1Universitas PGRI Yogyakarta, Yogyakarta, Indonesia
*Corresponding author. Email: dhananjaya@upy.ac.id
Corresponding Author
Dhananjaya Kumarajati
Available Online 23 December 2023.
DOI
10.2991/978-94-6463-338-2_9How to use a DOI?
Keywords
CAD-FEA method; ESR; geometry reconstruction; biomechanical simulation
ABSTRACT

Prosthetic feet are artificial devices that restore the function of the human foot after amputation. They are designed to provide stability, mobility, and comfort for the amputee. One of the important aspects of prosthetic foot design is to replicate the energy storage and return (ESR) mechanism of the natural foot, which enables efficient walking and standing by storing elastic energy during the loading phase and releasing it during the push-off phase. In this paper, we present a design method for ESR type prosthetic feet using reverse engineering and finite element analysis. Reverse engineering is a process of reconstructing the geometry and structure of an existing product using a computer-aided design (CAD) software. Finite element analysis is a numerical technique that simulates the behavior of a physical system under various loading conditions using a discretized model. We apply these methods to an existing ESR foot prosthesis model, which is a commercially available product that has O-shaped spring that provides a smoother rollover. We reconstruct the geometry of the prosthesis using a CAD software and perform a finite element analysis to evaluate its performance for standing position (980 N downward) and walking simulation (100 N upward). We analyze the stress and strain distribution, deformation, and the safety factor of the reconstructed model for both positions. The test results show that the reconstructed design model has a good performance in terms of safety factor, stress, strain, and deformation, both in standing and walking positions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
23 December 2023
ISBN
10.2991/978-94-6463-338-2_9
ISSN
1951-6851
DOI
10.2991/978-94-6463-338-2_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dhananjaya Kumarajati
AU  - Hasti Marfuah
AU  - Venti Yoanita
PY  - 2023
DA  - 2023/12/23
TI  - Geometry Reconstruction and Performance Evaluation of Energy Storage and Return (ESR) Prosthetic Foot with CAD-FEA Method
BT  - Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
PB  - Atlantis Press
SP  - 56
EP  - 62
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-338-2_9
DO  - 10.2991/978-94-6463-338-2_9
ID  - Kumarajati2023
ER  -