Experimental and Numerical Analysis of Titanium/HA FGM for Dental Implantation

Subject Areas : Mechanical Engineering

Sina  Sazesh ¹ (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.)
Aazam  Ghassemi ² (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.)
Reza  Ebrahimi ³ (Advanced Materials Research Center, Department of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.)
Mohammad  Khodaei ⁴ (Center for Advanced Engineering Research, Majlesi Branch, Islamic Azad University, Isfahan, Iran.)

Received: 2016-09-06 Accepted : 2016-12-13 Published : 2017-03-01

Keywords: Functionally graded materials (FGM), Compressive yield stress, Dental implant, Finite element method (FEM),

Abstract :

FGM dental implants are a very good alternative with respect to homogenous implants. In this study by focusing on mechanical property as one of the most important factors in implant design, the static behaviour of Ti/Nanostructure HA (hydroxyapatite) FGM dental implant has been fabricated and investigated experimentally and numerically. At the first step, the nanostructure hydroxyapatite powders were synthesized by natural origin. At the second step, the initial powders were cold compacted in order to fabricate Ti/HA FGM samples for 4 different volume fraction exponents (N=1/3, 2/3, 1, 2). Then the compacted powders have been sintered using a vacuum furnace, in which compressive strength of each particular sample was finally assessed. A three-dimensional geometrical model of FGM dental implant system and surrounding bone was created by using the macro programming language in ANSYS software and then finite element analysis under static forces was performed. Finally the experimental results strength tests were compared with numerical solutions. According to the results, the FGM dental implants made of Ti/HA under static forces were sufficiently safe. As a result, FGM sample with volume fraction exponent of N=2/3 was chosen as the best sample.

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