Optimization of Mechanical Parameters on Outsole Shoes Orthotic Comfort Using Finite Element Analysis

Yohanes Eka Anggraita Putra, Paulus Wisnu Anggoro, T. Yuniarto, A. Bayuseno, J. Jamari, B. Bawono
{"title":"Optimization of Mechanical Parameters on Outsole Shoes Orthotic Comfort Using Finite Element Analysis","authors":"Yohanes Eka Anggraita Putra, Paulus Wisnu Anggoro, T. Yuniarto, A. Bayuseno, J. Jamari, B. Bawono","doi":"10.1109/IBITeC46597.2019.9091719","DOIUrl":null,"url":null,"abstract":"The shoes selection as the right footwear is very related to the feet comfort, especially in the selection of shoe materials. The shoe consists of three parts: insole, outsole, and upper shoe. The right outsole material will affect the comfort of feet during activity. This paper demonstrates a mechanical testing method on optimization of outsole material based on computer aided engineering (CAE). The outsole design on milutes diabetic patients in previous studies used as the basic design for mechanical testing at CAE. Three types of mechanical testing on Abaqus software 2016: bending, torsion, and plantar plessure used in this paper to determine the optimal outsole material as outsole material shoe orthotik. The test results showed that the material EVA rubber type declared with optimum characteristics of the von mises stress 0.0013 MPa, maximum principal stress 0.0036 MPa and features shock absorption of 5.01562 mJ. This data can served as a basic reference for the process of manufacturing the outsole of shoe on CNC machines.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBITeC46597.2019.9091719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The shoes selection as the right footwear is very related to the feet comfort, especially in the selection of shoe materials. The shoe consists of three parts: insole, outsole, and upper shoe. The right outsole material will affect the comfort of feet during activity. This paper demonstrates a mechanical testing method on optimization of outsole material based on computer aided engineering (CAE). The outsole design on milutes diabetic patients in previous studies used as the basic design for mechanical testing at CAE. Three types of mechanical testing on Abaqus software 2016: bending, torsion, and plantar plessure used in this paper to determine the optimal outsole material as outsole material shoe orthotik. The test results showed that the material EVA rubber type declared with optimum characteristics of the von mises stress 0.0013 MPa, maximum principal stress 0.0036 MPa and features shock absorption of 5.01562 mJ. This data can served as a basic reference for the process of manufacturing the outsole of shoe on CNC machines.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于有限元分析的外底鞋矫形舒适性力学参数优化
鞋的选择作为合适的鞋类是非常关系到脚的舒适性,特别是在鞋的材料的选择。鞋由三部分组成:鞋垫、外底和鞋面。合适的外底材料会影响活动时脚的舒适度。介绍了一种基于计算机辅助工程(CAE)的鞋底材料优化力学测试方法。在CAE进行力学试验时,既往研究采用的是分钟型糖尿病患者的外底设计作为基本设计。在Abaqus软件2016上进行三种类型的力学测试:弯曲、扭转和足底压力,以确定最佳的大底材料作为鞋矫形器的大底材料。试验结果表明,EVA橡胶型材料的最佳性能为von mises应力0.0013 MPa,最大主应力0.0036 MPa,减震性能为5.01562 mJ。该数据可为在数控机床上加工鞋外底提供基本参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimization of Mechanical Parameters on Outsole Shoes Orthotic Comfort Using Finite Element Analysis Performance Comparison of Linear and Non Linear Interference Cancellation Techniques for 3.466 Gbps WLAN Multifractal detrended fluctuation analysis of heart rate variability predicts short-term outcomes of patients with sepsis 3D Image Reconstruction with Single-Slice CT using Improved Marching Cube Algorithm Performance Evaluation of Ensembles Algorithms in Prediction of Breast Cancer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1