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Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property

In the existing research on prosthetic footplates, rehabilitation insoles, and robot feet, the cushioning parts are basically based on simple mechanisms and elastic pads. Most of them are unable to provide adequate impact resistance especially during contact with the ground. This paper developed a b...

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Autores principales: Jin, Jianqiao, Wang, Kunyang, Ren, Lei, Qian, Zhihui, Lu, Xuewei, Liang, Wei, Xu, Xiaohan, Zhao, Shun, Zhao, Di, Wang, Xu, Ren, Luquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854970/
https://www.ncbi.nlm.nih.gov/pubmed/36671620
http://dx.doi.org/10.3390/bioengineering10010049
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author Jin, Jianqiao
Wang, Kunyang
Ren, Lei
Qian, Zhihui
Lu, Xuewei
Liang, Wei
Xu, Xiaohan
Zhao, Shun
Zhao, Di
Wang, Xu
Ren, Luquan
author_facet Jin, Jianqiao
Wang, Kunyang
Ren, Lei
Qian, Zhihui
Lu, Xuewei
Liang, Wei
Xu, Xiaohan
Zhao, Shun
Zhao, Di
Wang, Xu
Ren, Luquan
author_sort Jin, Jianqiao
collection PubMed
description In the existing research on prosthetic footplates, rehabilitation insoles, and robot feet, the cushioning parts are basically based on simple mechanisms and elastic pads. Most of them are unable to provide adequate impact resistance especially during contact with the ground. This paper developed a bioinspired heel pad by optimizing the inner structures inspired from human heel pad which has great cushioning performance. The distinct structures of the human heel pad were determined through magnetic resonance imaging (MRI) technology and related literatures. Five-layer pads with and without inner structures by using two materials (soft rubber and resin) were obtained, resulting in four bionic heel pads. Three finite element simulations (static, impact, and walking) were conducted to compare the cushioning effects in terms of deformations, ground reactions, and principal stress. The optimal pad with bionic structures and soft rubber material reduced 28.0% peak vertical ground reaction force (GRF) during walking compared with the unstructured resin pad. Human walking tests by a healthy subject wearing the 3D printed bionic pads also showed similar findings, with an almost 20% decrease in peak vertical GRF at normal speed. The soft rubber heel pad with bionic structures has the best cushioning performance, while the unstructured resin pad depicts the poorest. This study proves that with proper design of the inner structures and materials, the bionic pads will demonstrate distinct cushioning properties, which could be applied to the engineering fields, including lower limb prosthesis, robotics, and rehabilitations.
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spelling pubmed-98549702023-01-21 Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property Jin, Jianqiao Wang, Kunyang Ren, Lei Qian, Zhihui Lu, Xuewei Liang, Wei Xu, Xiaohan Zhao, Shun Zhao, Di Wang, Xu Ren, Luquan Bioengineering (Basel) Article In the existing research on prosthetic footplates, rehabilitation insoles, and robot feet, the cushioning parts are basically based on simple mechanisms and elastic pads. Most of them are unable to provide adequate impact resistance especially during contact with the ground. This paper developed a bioinspired heel pad by optimizing the inner structures inspired from human heel pad which has great cushioning performance. The distinct structures of the human heel pad were determined through magnetic resonance imaging (MRI) technology and related literatures. Five-layer pads with and without inner structures by using two materials (soft rubber and resin) were obtained, resulting in four bionic heel pads. Three finite element simulations (static, impact, and walking) were conducted to compare the cushioning effects in terms of deformations, ground reactions, and principal stress. The optimal pad with bionic structures and soft rubber material reduced 28.0% peak vertical ground reaction force (GRF) during walking compared with the unstructured resin pad. Human walking tests by a healthy subject wearing the 3D printed bionic pads also showed similar findings, with an almost 20% decrease in peak vertical GRF at normal speed. The soft rubber heel pad with bionic structures has the best cushioning performance, while the unstructured resin pad depicts the poorest. This study proves that with proper design of the inner structures and materials, the bionic pads will demonstrate distinct cushioning properties, which could be applied to the engineering fields, including lower limb prosthesis, robotics, and rehabilitations. MDPI 2022-12-30 /pmc/articles/PMC9854970/ /pubmed/36671620 http://dx.doi.org/10.3390/bioengineering10010049 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jin, Jianqiao
Wang, Kunyang
Ren, Lei
Qian, Zhihui
Lu, Xuewei
Liang, Wei
Xu, Xiaohan
Zhao, Shun
Zhao, Di
Wang, Xu
Ren, Luquan
Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title_full Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title_fullStr Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title_full_unstemmed Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title_short Optimization Design of the Inner Structure for a Bioinspired Heel Pad with Distinct Cushioning Property
title_sort optimization design of the inner structure for a bioinspired heel pad with distinct cushioning property
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854970/
https://www.ncbi.nlm.nih.gov/pubmed/36671620
http://dx.doi.org/10.3390/bioengineering10010049
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