Abstract

The finite element method is used to solve mechanical and physical problems in engineering analysis and design. Primary stability has been regarded as a prerequisite for osseointegration of dental implants. Biomechanical factors play a key role in the success of dental implants. The study of impact velocity is relevant to the biomechanics of dental implants. The purpose of this analysis was to determine the intensity and distribution of stresses in the dental prosthesis elements (crown, framework, implant, abutment, bone) and the sliding at the bone–implant interface under the effect of a mechanical impact of different geometric shape of projectile, this shock simulates a stone throw or other objects coming into contact with the dental prosthesis.

Highlights

  • Nowadays, dental implants are the ideal solution for lack of dentition, being considered the best alternative after natural teeth

  • The purpose of this analysis was to determine the intensity and distribution of stresses in the dental prosthesis elements and the sliding at the bone–implant interface under the effect of a mechanical impact of different geometric shape of projectile, this shock simulates a stone throw or other objects coming into contact with the dental prosthesis

  • 3 Results The response of the dental structure to the impact effect is analyzed here in terms of variation of the von Mises stress induced in all its components: Crown, Framework, Abutment, Implant, cortical and cancellous Bone

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Summary

Introduction

Dental implants are the ideal solution for lack of dentition, being considered the best alternative after natural teeth. Dental implants have been highly successful in the rehabilitation of edentulous patients They still suffer biological or mechanical failures [1, 2]. The predictability of dental implants is affected by biologic, technical, and biomechanical factors [3]. The control of these factors is important to bone preservation [4, 5] and prosthetic complication reduction [6], which could extend the implant-supported rehabilitation success rate [7]. The use of statistical analysis has been considered an effective tool in the finite element method [14]. Hsu et al [16] investigated the effects of three three-dimensional (3D) bone to implant contact (BIC) parameters potential BIC area (pBICA), BIC area (BICA), and 3D BIC percentage (3D BIC %; defined as BICA divided by (pBICA) relation to the implant diameter on primary implant stability, as well as their correlations were evaluated

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