Fatigue Life Prediction of Commercial Dental Implant Using Analytical Approach and Verification by FEA

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

doi:10.1007/978-981-10-6002-1_16

Cited by 14 publications

(6 citation statements)

References 17 publications

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“…A mean element size of 0.1 mm is set by the mesh convergence test to provide the necessary precision. 18 As illustrated in Figure 3(b), interface is meshed finer to improve FE simulation accuracy. The resultant FE model is imported into the Abaqus CAE code (CAE Solver) for nonlinear contact-based stress analysis.…”

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

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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.

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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

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“…There are many techniques for modifying the topography of titanium implant surfaces, including mechanical, chemical, electrochemical, and layer addition [144]. Blasting and polishing are the mechanical processes most frequently used to alter a metallic surface [145]. Numerous studies have shown that the rate of osseointegration improves after treatment [146,147].…”

Section: Lesser Thanmentioning

confidence: 99%

Biomaterials and Clinical Application of Dental Implants in Relation to Bone Density—A Narrative Review

Khaohoen,

Sornsuwan,

Chaijareenont

et al. 2023

JCM

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Titanium has been the material of choice for dental implant fixtures due to its exceptional qualities, such as its excellent balance of rigidity and stiffness. Since zirconia is a soft-tissue-friendly material and caters to esthetic demands, it is an alternative to titanium for use in implants. Nevertheless, bone density plays a vital role in determining the material and design of implants. Compromised bone density leads to both early and late implant failures due to a lack of implant stability. Therefore, this narrative review aims to investigate the influence of implant material/design and surgical technique on bone density from both biomechanical and biological standpoints. Relevant articles were included for analysis. Dental implant materials can be fabricated from titanium, zirconia, and PEEK. In terms of mechanical and biological aspects, titanium is still the gold standard for dental implant materials. Additionally, the macro- and microgeometry of dental implants play a role in determining and planning the appropriate treatment because it can enhance the mechanical stress transmitted to the bone tissue. Under low-density conditions, a conical titanium implant design, longer length, large diameter, reverse buttress with self-tapping, small thread pitch, and deep thread depth are recommended. Implant material, implant design, surgical techniques, and bone density are pivotal factors affecting the success rates of dental implant placement in low-density bone. Further study is required to find the optimal implant material for a clinical setting’s bone state.

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“…8 It is widely known that, due to the chewing movements, speaking, etc, the dental prosthesis is under cyclical loading. 9,10 As a result, it is growing attention that failure by fatigue might be one of the main failure mechanisms in dental implants, although some researchers still suggest the opposite due to lack of physical evidence. 4,[10][11][12][13] One study analysed 100 implants retrieved from patients due to biological complications.…”

Section: Introductionmentioning

confidence: 99%

“…One alternative, and complementary, to experimental tests to analyse failure in dental implants is the use of numerical methods, particularly the Finite Element (FE) method. 1,6,9,19,[23][24][25][26] The FE method has been widely applied in studies of dental prostheses as it permits non-linear analysis and the study of different loading scenarios, complex structures, materials and boundary conditions. Although the FE method is widely accepted in dentistry, there are very few studies using numerical models to evaluate the fatigue problem in dental prostheses.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life estimation of dental implants using a combination of the finite element method and traditional fatigue criteria

Hernandez

Freitas

Sousa

2023

Proc Inst Mech Eng H

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Failure by fatigue can be sudden and catastrophic. Therefore, ensuring that dental implants, which are under constant cyclic loading, do not fail to fatigue is imperative. The majority of the studies about the topic only performed in vitro tests, which are expensive and time-consuming. The Finite Element (FE) method is less costly and it allows the simulation of several different loading scenarios. Nonetheless, there are only a few studies analysing fatigue in dental prostheses using FE models, and the few available did not include all the relevant parameters, such as geometry effect, surface finishing, etc. Therefore, this study aimed to analyse the fatigue behaviour of a single-unit dental implant with two screws using a combination of the numerical results and the traditional fatigue criteria – a combination that was not yet fully and correctly explored. A finite element model comprising a single implant, one abutment, one abutment screw, one fixation screw and one prosthetic crown was developed. Material properties were assigned based on literature data. A 100 N load was applied to mimic the mastication forces and fatigue analysis was conducted using the Gerber, Goodman and Soderberg fatigue criteria. The fatigue analysis demonstrated that the abutment screw could fail in less than 1 year, depending on the criteria, while the fixation screw exhibits an infinite life. The results illustrated the importance of analysing the fatigue behaviour of dental implants and highlighted the potential of finite element models to simulate the biomechanical behaviour of dental implants.

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Fatigue Life Prediction of Commercial Dental Implant Using Analytical Approach and Verification by FEA

Cited by 14 publications

References 17 publications

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

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

Biomaterials and Clinical Application of Dental Implants in Relation to Bone Density—A Narrative Review

Fatigue life estimation of dental implants using a combination of the finite element method and traditional fatigue criteria

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