Abstract

Creep loading is a significant engineering challenge because it could increase materials failure, especially material subjected to mechanical and thermal loading. The prostheses and orthoses composites have not been resistant to high temperatures and can be subjected to shrinking effects, and the improvement of the creep behaviour of prostheses and these materials has to be investigated. One way to improve this is by consolidating Nano additives' percentage (from 0 to 3.5%). Thus, the study covered these additives' effect on the creep characterization for prosthetic and orthotic composites using various volume fraction carbon Nano particular materials. The investigation was achieved using experimental and artificial neural network techniques to calculate the strain–time relation for prosthetic and orthotics composite materials with various volume fraction of carbon Nanoparticle materials. So, the experimental technique was achieved, firstly, manufacturing the Nanocomposite samples and then calculating the mechanical properties and creep behaviour. Besides, a numerical calculation of the creep behaviour for composite material using artificial neural network techniques and then comparing them was presented. Comparing the experimental and artificial neural network techniques results has shown a good agreement with a maximum discrepancy (2.58%). Also, the results showed that the obtained mechanical properties and creep reach five times for composite materials without Nanoparticle, with reinforcement by Nanoparticles.

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