The Effect of Dental Implant Materials and Thread Profiles—A Finite Element and Statistical Study

Shafi, Aisyah Ahmad; Kadir, Mohammed Rafiq Abdul; Sulaiman, Eshamsul; Kasim, Noor Hayaty Abu; Kassim, Noor Lide Abu

doi:10.1166/jmihi.2013.1199

Cited by 9 publications

(2 citation statements)

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“…In forward solver the forward model is developed by finite element method (FEM) [2,138,175,177,188,217] formulation applied on the governing equation, Eq. 3.1, of the domain under test (DUT).…”

Section: Forward Modelingmentioning

confidence: 99%

Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review

Bera

2014

Brain-Computer Interfaces

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Section: Forward Modelingmentioning

confidence: 99%

Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review

Bera

2014

Brain-Computer Interfaces

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“…Instead of the delay-load concept, immediate loading was proposed to reduce the cost and time of implant treatment. Shafi et al 1 investigated the stress transfer of various thread profiles and material properties of dental implant system by finite element analysis. Quaresma et al 2 presented the stress distribution of two types of dental implants with the abutment and implant under simulated occlusal forces.…”

Section: Introductionmentioning

confidence: 99%

Uniform Design and Dynamic Finite Element Analysis for Micromotion Improvement of Semados Dental Implant System Under Dynamic Chewing Loads

Jiang

Lee

Tsai

et al. 2014

J. Mech. Med. Biol.

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This study aimed to improve the micromotion of a Semados dental implant system subjected to dynamic chewing loads. Micromotion of the Semados dental implant system with basic dimensions was obtained using dynamic finite element analysis, and five parameters of the implant were selected as the control factors to be improved. A uniform design method was employed to construct a set of experimental simulations. Next, for each experimental simulation, the dynamic finite analysis package ANSYS/LS-DYNA was employed to simulate the behavior of the Semados dental implant model subjected to dynamic chewing loads and then determine the maximum micromotion of the cortical and cancellous bones. Finally, the best design of the experimental simulations that caused the smallest amount of micromotion was selected as the improved design version. Compared to the original design, which experienced micromotion of 74.53 m, the improved version experienced micromotion of 45.41 m. The rate of improvement was 39.1%.

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