Topology Optimization for Custom Bed-Resting Ankle Foot Orthosis

Amir Mustakim Ab Rashid, Effi Zuhairah Md Nazid, Muhammad Hazli Mazlan, Azizah Intan Pangesty, Abdul Halim Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ankle-foot orthosis (AFO) is a widely used aid for people who suffer from weakness of the dorsiflexion muscles of the ankle due to peripheral or central nervous system problems. Both conditions are caused by a lack of dorsiflexion assistance due to muscle weakness. The mobility of the surrounding joints is affected by the deformity and muscle weakness of a lower limb joint, so corrective measures are required. The aim of this study is, therefore, to observe the effects of a topology optimized AFO model on pressure distribution. The product was designed in Solidworks and subjected to finite element analysis using polylactic acid (PLA) to determine the maximum value of Von Mises stress (VMS) and displacement. The design is then optimized using a topology study to analyze the iteration of the component design that meets a specific optimized target and geometric constraints. The final product is expected to have the desired function of the AFO for bedridden patients.

Original languageEnglish
Title of host publicationProceedings of the 2nd Human Engineering Symposium - HUMENS 2023
EditorsMohd Hasnun Arif Hassan, Mohd Nadzeri Omar, Nasrul Hadi Johari, Yongmin Zhong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages95-106
Number of pages12
ISBN (Print)9789819968893
DOIs
Publication statusPublished - 2024
Event2nd International Human Engineering Symposium, HUMENS 2023 - Pekan, Malaysia
Duration: 14 Feb 202314 Feb 2023

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference2nd International Human Engineering Symposium, HUMENS 2023
Country/TerritoryMalaysia
CityPekan
Period14/02/2314/02/23

Keywords

  • Ankle foot orthosis
  • Bed-resting
  • Topology optimization

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