A Three Dimensional Stress Analysis Of Diabetic Insole And Evaluation Of Silicone Gel Material Using Finite Element Approach

Barani, Zohre; Haghpanahi, Mohammad; Katouzian, Hamid Reza; Saeidi, Hasan

doi:10.22041/ijbme.2005.13522

A Three Dimensional Stress Analysis Of Diabetic Insole And Evaluation Of Silicone Gel Material Using Finite Element Approach

Document Type : Full Research Paper

Authors

Zohre Barani ¹

Mohammad Haghpanahi ²

Hamid Reza Katouzian ³

Hasan Saeidi ⁴

¹ Medical Technology Incubation Centre, Research Institute of Science & Technology in Medicine, Tehran Medical Science University

² School of Mechanical Engineering, Iran University of Science & Technology

³ Department of Biomedical Engineering, Amir Kabir University of Technology

⁴ Department of Technical Orthopedics, Iran University of Medical Sciences

10.22041/ijbme.2005.13522

Abstract

Current research in foot biomechanics includes studies on prevention of recurrence of neuropathic foot ulcers. This prescribes accommodative insoles, which reduce plantar pressure levels particularly under the hallux. There is little quantitative information available regarding the effects of insole materials. The insole models available in the literature are mostly two- dimensional (2-D). Hence, there is a need to develop a three-dimensional (3-D) model with actual geometry which includes sufficient details. In this study a 3-D model of the insole was constructed. A linear and non-linear static analysis using finite element method (FEM) was done. To construct the 3-D finite element model, 14736 nodes and 16170 elements were used. This research has shown that Silicone Gel is very effective in terms of reduction of stress concentrations. The techniques used in this research provide a promising approach to understand the behavior of insole material as well as a guideline in the design of therapeutic footwear and orthoses for insensate feet.

Keywords

Diabetes

Insoles

Silicone Gel

Three Dimensional Fem

Hyperelastisity

Subjects

Biological Computer Modeling / Biological Computer Simulation

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