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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 943839, 16 pages
Research Article

FEM Analysis of Mandibular Prosthetic Overdenture Supported by Dental Implants: Evaluation of Different Retention Methods

1Human Pathology Department, University of Messina, Messina, Italy
2Medical Sciences and Odontostomatology Department, University of Messina, Messina, Italy
3Mechanics and Infrastructures Department, “Guglielmo Marconi” University of Rome, Rome, Italy
4Department of Electronic Engineering, Chemistry and Industrial Engineering, University of Messina, Messina, Italy

Received 5 September 2015; Revised 30 October 2015; Accepted 3 November 2015

Academic Editor: Akimasa Hirata

Copyright © 2015 M. Cicciù et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Prosthetic rehabilitation of total edentulous jaws patients is today a common technique that clinicians approach in their daily practice. The use of dental implants for replacing missing teeth is going to be a safe technique and the implant-prosthetic materials give the possibility of having long-term clinical success. Aim of this work is to evaluate the mechanical features of three different prosthetic retention systems. By applying engineering systems of investigations like FEM and von Mises analyses, how the dental implant material holds out against the masticatory strength during the chewing cycles has been investigated. Three common dental implant overdenture retention systems have been investigated. The ball attachment system, the locator system, and the common dental abutment have been processed by Ansys Workbench 15.0 and underwent FEM and von Mises investigations. The elastic features of the materials used in the study have been taken from recent literature data. Results revealed different response for both types of device, although locator system showed better results for all conditions of loading. The data of this virtual model show all the features of different prosthetic retention systems under the masticatory load. Clinicians should find the better prosthetic solution related to the patients clinical condition in order to obtain long-term results.