Optimum Functionally Gradient Materials for Dental Implant Using Simulated Annealing

Sadollah, Ali; Bahreininejad, Ardeshir

doi:10.5772/45640

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…4 Optimisation studies have been proposed as a method of enhancing implant design to improve stress distribution on mandibular bone. 4,[10][11][12][13] Optimisation analyses have been used to identify materials best suited for dental implants, 14 to refine implant thread design using minimisation of the equivalent von Mises stresses on peri-implant bone, 15 to determine optimal dimensions of implants for type IV bone 11 and to perfect designs of implants for use in fractured jaws. 13 The optimisation procedure combined with finite element models generally involves trials wherein several models, each one with a specific combination of parameters, are created.…”

Section: Introductionmentioning

confidence: 99%

Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone

Freitas

Hernandez

Gonçalves

et al. 2021

Proc Inst Mech Eng H

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Dental implants are widely used as a long-term treatment solution for missing teeth. A titanium implant is inserted into the jawbone, acting as a replacement for the lost tooth root and can then support a denture, crown or bridge. This allows discreet and high-quality aesthetic and functional improvement, boosting patient confidence. The use of implants also restores normal functions such as speech and mastication. Once an implant is placed, the surrounding bone will fuse to the titanium in a process known as osseointegration. The success of osseointegration is dependent on stress distribution within the surrounding bone and thus implant geometry plays an important role in it. Optimisation analyses are used to identify the geometry which results in the most favourable stress distribution, but the traditional methodology is inefficient, requiring analysis of numerous models and parameter combinations to identify the optimal solution. A proposed improvement to the traditional methodology includes the use of Design of Experiments (DOE) together with Response Surface Methodology (RSM). This would allow for a well-reasoned combination of parameters to be proposed. This study aims to use DOE, RSM and finite element models to develop a simplified optimisation analysis method for dental implant design. Drawing on data and results from previous studies, two-dimensional finite element models of a single Branemark implant, a multi-unit abutment, two prosthetic screws, a prosthetic crown and a region of mandibular bone were built. A small number of combinations of implant diameter and length were set based on the DOE method to analyse the influence of geometry on stress distribution at the bone-implant interface. The results agreed with previous studies and indicated that implant length is the critical parameter in reducing stress on cortical bone. The proposed method represents a more efficient analysis of multiple geometrical combinations with reduced time and computational cost, using fewer than a third of the models required by the traditional methods. Further work should include the application of this methodology to optimisation analyses using three-dimensional finite element models.

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Section: Introductionmentioning

confidence: 99%

Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone

Freitas

Hernandez

Gonçalves

et al. 2021

Proc Inst Mech Eng H

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show abstract

“…In this type of non-homogeneous biocomposite materials, mechanical properties are being changed smoothly and continuously. FGBMs as a suitable alternative for the coating layer not only reduce the sudden changes in biomechanical properties between the layers, but also omit the coating process in the manufacturing procedure [20,28,36,37]. The FE method plays a key role in the assessment of stress-strain distribution of the bone-implant interface.…”

Section: Introductionmentioning

confidence: 99%

A comparative finite element simulation of stress in dental implant–bone interface using isotropic and orthotropic material models in three mastication cycles

Taheri

Jarrahi

Farnoosh

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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Although functionally graded biomaterials (FGBMs) have recently been employed in the dental implants, the role of mechanical complications in the FGBMs, i.e., isotropicity or orthotopicity, has not been well understood. This study, hence, was aimed at investigating the effects of a special type of FGBM implant in stress distribution of bone-implant interface using finite element method. Meanwhile, the effects of simplifications, such as presuming isotropic material model instead of an orthotropic one for a jaw bone, and applying a small deflection effect as a replacement for a large deflection effect in the stress-strain calculation were also examined. The results revealed that the FGBM implants can diminish the maximum stress in the implant-bone interface. In addition, although the amount of maximum strain in the bone and implant were low, considering a small deflection effect instead of a large deflection one showed to have a considerable influence in the stress and the displacement of the implant-bone system. The orthotropic bone also indicated a large amount of stress compared with the isotropic one which implies the importance of material models in simulating the stresses and displacements of the implant-bone system. These results have implications not only for understanding the stresses and displacements in the implant-bone interface, but also for providing a comprehensive information for the biomechanical experts to pay enough attention to the material models being employed in their numerical simulations.

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Functionally Graded Metallic Biomaterials

Watanabe

Sato

Miura-Fujiwara

2015

Springer Series in Biomaterials Science and Engineering

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Optimum Functionally Gradient Materials for Dental Implant Using Simulated Annealing

Cited by 6 publications

References 29 publications

Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone

Novel and simplified optimisation pathway using response surface and design of experiments methodologies for dental implants based on the stress of the cortical bone

A comparative finite element simulation of stress in dental implant–bone interface using isotropic and orthotropic material models in three mastication cycles

Functionally Graded Metallic Biomaterials

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