Boosting Mechanical Properties of Orthoses - Foot Ankle by Adding Carbon Nanotube Particles

Author:

Jeryo Abbas H.1,Chiad Jumaa S.2,Abbod Wajdi S.3

Affiliation:

1. Ministry of Health

2. Al-Nahrain University

3. Alnahrain University, Prosthetic and Orthotic Engineering Department ,Baghdad, Iraq

Abstract

In this process, optimum laminating properties were used in producing prosthesis and orthoses were researched and selected based on high yield, ultimate stresses, stresses of bending and fatigue properties. The process of the optimal selection is the Response Surface Methodology (RSM), which has been used to reach two parameters: reinforcement perlon fiber and percent of multi-strand carbon MWCNT nanotube combined with the matrix resin. The response surface methodology is a combination of mathematician and statistic techniques which are used for experimental model building and analysis of problems. This technique revealed 13 separate laminations samples with a percentage of separate Perlon layers No. and MWCNT Wt %. Tests were conducted for all lamination materials as defined in RSM methods and rendered by vacuum system, including fatigue tests for the ideal laminating material as opposed to laminations developed in the prior study (three Tensile test, Bending test and Fatigue tests according to the ASTM D638 and D790 respectively). Tests from the system version 10.0.2 of Design Expert found lamination (10 perlon layers and 0.75% of MWCNTs) to be the best according to overall yield, ultimate and bending loads in the 12 other laminations. Fatigue eventually revealed that constraints were applied to the stamina tension (2,66, 1,66) for optimum lamination, relative to ten perlon lamination layers and 424 lamination respectively.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prosthetic feet: A systematic review of types, design, and characteristics;SECOND INTERNATIONAL CONFERENCE ON INNOVATIONS IN SOFTWARE ARCHITECTURE AND COMPUTATIONAL SYSTEMS (ISACS 2022);2023

2. Study and analysis the flexion moment in active and passive knee prosthesis using back propagation neural network predictive;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-10-17

3. Hyperelastic modelling of rubber with multi-walled carbon nanotubes subjected to tensile loading;Archives of Materials Science and Engineering;2022-04-01

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