Influence of cutting flutes on stress distribution for selected dental implants: Numerical studies

Dhatrak, Pankaj; Shirsat, Uddhav; Sumanth, S.; Deshmukh, Vijay

doi:10.1016/j.matpr.2020.08.476

Cited by 13 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cortical layer is mechanically more rigid, and its thickness is very important to ensure the primary stability of the implant. Regarding this parameter, there is a wide variability among patients and values between 1 and 2.2 mm have been reported in several studies on real bones 34–38 . In this study, a constant value of 2.0 mm has been considered since most of studies adopt it as a mean value.…”

Section: Methodsmentioning

confidence: 99%

“…Regarding this parameter, there is a wide variability among patients and values between 1 and 2.2 mm have been reported in several studies on real bones. [34][35][36][37][38] In this study, a constant value of 2.0 mm has been considered since most of studies adopt it as a mean value. The thickness of the trabecular layer has been chosen to cover completely the length of the screw because of its little influence in the mechanical performance of the joint.…”

Section: Geometrymentioning

confidence: 99%

See 1 more Smart Citation

Submodelling approach to screw‐to‐bone interaction in additively manufactured subperiosteal implant structures

Castrillo

Carnicero

Perera

2023

Numer Methods Biomed Eng

View full text Add to dashboard Cite

Thanks to new digital technologies, complex cases of severe maxillary atrophy may now be treated with additively manufactured subperiosteal implant structures (AMSISs). However, there are few studies addressing this topic and most of them focus on the mechanical behaviour of the AMSIS itself without considering its interaction with the maxilla bone. The aim of this study is to provide a methodology based on finite element analysis (FEA) to evaluate the effect of interaction between the maxilla bone and the screws fixing the AMSIS. The mechanical performance of an AMSIS was examined via a FEA based on submodelling. Significant differences were encountered in displacements and reaction forces when bone–screw interaction was considered. Stress in the cortical layer was found to be close to the maximum strength while the trabecular layer seems to have no effect on the results; stresses in the AMSIS are lower than the fatigue stress limit. Finally, the comparison of stresses between models with and without osseointegration shows how stresses drop once osseointegration is complete. The proposed submodelling approach considerably reduces the computational effort and enables both a detailed model of the interaction between the thread of the screws and the bone and an accurate evaluation of displacement and stress fields on the interface. The results have shown that stresses in the cortical bone are highly affected by the initial geometry of the thread inside the bone, which demonstrates the importance of modelling the effect of the thread.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Geometrymentioning

confidence: 99%

Submodelling approach to screw‐to‐bone interaction in additively manufactured subperiosteal implant structures

Castrillo

Carnicero

Perera

2023

Numer Methods Biomed Eng

View full text Add to dashboard Cite

show abstract

“…22 The contact is regarded as rigid between the abutment-intermediate screw, intermediate screw-implant and the abutment-implant. 23 As a result, the FEA model is claimed to be dependable in terms of stress and strain characteristics when compared to clinical significance. 24 According to the principles of FEM, geometric nonlinearity, material non-linearity and contact between media is said to give rise to non-linearity.…”

Section: Materials and Methodologymentioning

confidence: 99%

Evaluate the effect of bone density variation on stress distribution at the bone–implant interface using numerical analysis

Hindurao,

Gujare,

Jadhav

et al. 2024

Proc Inst Mech Eng H

Self Cite

View full text Add to dashboard Cite

The current study aims to comprehend how different bone densities affect stress distribution at the bone–implant interface. This will help understand the behaviour and help predict success rates of the implant planted in different bone densities. The process of implantation involves the removal of bone from a small portion of the jawbone to replace either a lost tooth or an infected one and an implant is inserted in the cavity made as a result. Now the extent of fixation due to osseointegration is largely dependent on the condition of the bone in terms of the density. Generally, the density of the bone is classified into four categories namely D1, D2, D3, and D4; with D1 being purely cortical and D4 having higher percentage of cancellous bordered by cortical bone. A bone model with a form closely resembling the actual bone was made using 3D CAD software and was meshed using Hyper Mesh. The model was subjected to an oblique load of 120 N at 70° to the vertical to replicate occlusal loading. A finite element static analysis was done using Abaqus software. The stress distribution contours at the bone-implant contact zone were studied closely to understand the changes as a result of the varying density. It was revealed that as the quantity of the cancellous bone increased from D1 to D4 the cortical peak stress levels dropped. The bone density and the corresponding change in the material characteristics was also responsible for the variation in the peak stress and displacement values.

show abstract

“…These implant models were then carefully generated using a 3D CAD software, Solidworks 2020 (Figure 2). The dental prosthetic was modelled as a cuboidal shape with height, width and breadth (25 mm 3 15 mm 3 10 mm), on the basis of the size of cut section of the jawbone (considering premolar tooth) used in FEA studies, 35 while the cortical bone thickness is 2 mm.…”

Section: Selection Of Implant and Cad Modellingmentioning

confidence: 99%

“…The crown was meshed using linear shell elements (S3R/S4R) with a 0.5 mm average size. 35,39,40 The implant-bone interface was meshed with finer mesh to improve the accuracy while solving. FE models' convergence was verified to achieve a balance between the accuracy of FE results and computing resources.…”

Section: Finite Element Modellingmentioning

confidence: 99%

Influence of surface coatings on the stress distribution by varying friction contact at implant-bone interface using finite element analysis

Dhatrak

Kurup

Khasnis

2023

Proc Inst Mech Eng H

Self Cite

View full text Add to dashboard Cite

The present work aims to evaluate the effect of various surface coatings of titanium dental implants by varying the friction coefficient (µ) at the interface between the dental implant and jawbone using finite element analysis (FEA) methods and to provide a comparative analysis between the various surface coatings and implant designs. An accurate model of the dental implant prosthetics consisting of the hard (cortical) and the soft (cancellous) bone, with the various titanium dental implant designs was modelled using a 3D CAD software, and the FE mesh model was generated using HyperMesh 13.0. Three coatings having different coefficient of friction values were selected: Titanium Nitride (TiN) with a friction coefficient of 0.19, Titanium Oxide (TiO2) with a friction coefficient of 0.30 and Zirconium Nitride (ZrN) with a coefficient of friction of 0.49. The non-linear static stress analysis was conducted under three different loading conditions (vertical, lateral and oblique loading) using a CAE solver. The present study showed that surface coatings with high friction coefficients generated lower stresses in the cancellous bone while generating higher stresses in the cortical bone. However, for dental implants having microthreads in their neck region, surface coatings with a high coefficient of friction generated lower stresses at the interface between the cortical bone and the implant. The FEA results indicate that selecting suitable surface coatings would significantly decrease the stresses developed at the bone-implant interface, and future studies should conduct in vivo trials to validate the FEA results obtained.

show abstract

Influence of cutting flutes on stress distribution for selected dental implants: Numerical studies

Cited by 13 publications

References 35 publications

Submodelling approach to screw‐to‐bone interaction in additively manufactured subperiosteal implant structures

Submodelling approach to screw‐to‐bone interaction in additively manufactured subperiosteal implant structures

Evaluate the effect of bone density variation on stress distribution at the bone–implant interface using numerical analysis

Influence of surface coatings on the stress distribution by varying friction contact at implant-bone interface using finite element analysis

Contact Info

Product

Resources

About