Prediction of insertion torque and stiffness of a dental implant in bovine trabecular bone using explicit micro-finite element analysis

Ovesy, Marzieh; Indermaur, Michael; Zysset, Philippe

doi:10.1016/j.jmbbm.2019.06.024

Cited by 19 publications

(16 citation statements)

References 39 publications

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“…The damage has not been modeled directly in this study, but the induced stresses in the region of block-screw interface called pre-stresses were considered. Pre-stresses weaken the material especially in the region of interface [27,37]. In the FE screw pull-out simulations, material adjacent to the block-screw interface experienced yielding which have already yielded in insertion step.…”

Section: Discussionmentioning

confidence: 99%

“…An explicit solver has been used in this study. Due to the limited convergence, implicit solvers cannot handle the excessive element distortion resulting from the implementation press-fit especially in μFE models [37]. The high deformation related to the implantation press-fit can best be captured by explicit solvers, as they provide the option of element deletion and distortion controlling for highly distorted elements.…”

Section: Discussionmentioning

confidence: 99%

“…The Dynamic Explicit approach was used in this study. An elastoplastic material model with yield strain equal to 10%, and 10% isotropic hardening [36,37] was implemented for the HDPE blocks. Yield strains equal to 5%, and 5% isotropic softening were assigned to the LDPU and HDPU foams [38,39].…”

Section: Materials Propertiesmentioning

confidence: 99%

“…Surface on surface contact was defined in Abaqus dynamic explicit for the interface between the screw threads and the threaded hole in the bone analogs. Tangential friction contact of 0.6 [37] and hard normal contact were applied between the two bodies.…”

Section: Interface Modelingmentioning

confidence: 99%

See 3 more Smart Citations

Homogenized finite element models can accurately predict screw pull-out in continuum materials, but not in porous materials

Einafshar

Hashemi

Lenthe

2021

Computer Methods and Programs in Biomedicine

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Materials Propertiesmentioning

confidence: 99%

Section: Interface Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Homogenized finite element models can accurately predict screw pull-out in continuum materials, but not in porous materials

Einafshar

Hashemi

Lenthe

2021

Computer Methods and Programs in Biomedicine

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“…Validation can be performed using direct or indirect methods. Direct methods can be based on experimental models, [1][2][3] animal trials, 4,5 human Evaluation of Bone-Implant Interface Stress and Strain Using Heterogeneous Mandibular Bone Properties Hussein, Alruthea clinical trials, 6,7 stress analysis methods, 8 or another FEA software. 9,10 Conversely, indirect methods include the review of previous studies that address a similar problem to that under investigation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Bone–Implant Interface Stress and Strain Using Heterogeneous Mandibular Bone Properties Based on Different Empirical Correlations

Hussein

Alruthea

2021

Eur J Dent

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Objective The purpose of this study was to compare methods used for calculating heterogeneous patient-specific bone properties used in finite element analysis (FEA), in the field of implant dentistry, with the method based on homogenous bone properties. Materials and Methods In this study, three-dimensional (3D) computed tomography data of an edentulous patient were processed to create a finite element model, and five identical 3D implant models were created and distributed throughout the dental arch. Based on the calculation methods used for bone material assignment, four groups—groups I to IV—were defined. Groups I to III relied on heterogeneous bone property assignment based on different equations, whereas group IV relied on homogenous bone properties. Finally, 150 N vertical and 60-degree-inclined forces were applied at the top of the implant abutments to calculate the von Mises stress and strain. Results Groups I and II presented the highest stress and strain values, respectively. Based on the implant location, differences were observed between the stress values of group I, II, and III compared with group IV; however, no clear order was noted. Accordingly, variable von Mises stress and strain reactions at the bone–implant interface were observed among the heterogeneous bone property groups when compared with the homogenous property group results at the same implant positions. Conclusion Although the use of heterogeneous bone properties as material assignments in FEA studies seem promising for patient-specific analysis, the variations between their results raise doubts about their reliability. The results were influenced by implants’ locations leading to misleading clinical simulations.

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Multi‐objective design optimization of dental implant geometrical parameters

Moradi

Aein

Youssef

2021

Numer Methods Biomed Eng

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In‐silico investigations are becoming an integral part of the development of novel biomedical devices, including dental implants. Using computer simulations can streamline the process by tuning different geometrical and structural features, emphasizing the osseointegration of the implant design a priori, leading to the optimal designs in preparation for in‐vivo trails. This research aims to elucidate the interrelationship between 12 geometrical variables that holistically define the shape of the implant. The approach to achieve optimality hinged on coupling the finite element analysis results with the fractional factorial design method. The latter was used to determine the most influential variables during the screening process, followed by the parameter optimization process using the response surface method, regarding four different objectives, namely: bone‐implant contact area, volume of trabecular bone dead cells, volume of cortical bone dead cells, and axial displacement. This resulted in reducing the number of virtual experiments and substantially decreasing the computational cost without compromising the accuracy of the solution. It was found that the optimized values improved the performance significantly. The validity of all models was verified by comparing optimized responses with simulation results. A sensitivity analysis was performed on all five optimized models to address the effect of friction coefficient on the implant‐bone joint interaction. It was shown that the mechanical behavior of implant‐bone would be independent in higher friction coefficients. The significance of this study is demonstrated in determining the most effective and optimized values of all possible geometrical parameters considering their singular or interactive effects.

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Prediction of insertion torque and stiffness of a dental implant in bovine trabecular bone using explicit micro-finite element analysis

Cited by 19 publications

References 39 publications

Homogenized finite element models can accurately predict screw pull-out in continuum materials, but not in porous materials

Homogenized finite element models can accurately predict screw pull-out in continuum materials, but not in porous materials

Evaluation of Bone–Implant Interface Stress and Strain Using Heterogeneous Mandibular Bone Properties Based on Different Empirical Correlations

Multi‐objective design optimization of dental implant geometrical parameters

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