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Structural and Multidisciplinary Optimization

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02.10.2018 | Research Paper

Finite element based optimization design for a one-piece zirconia ceramic dental implant under dynamic loading and fatigue life validation

verfasst von: Yung-Chang Cheng, Cho-Pei Jiang, Deng-Huei Lin

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 3/2019

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Abstract

This study presents an optimization procedure for the design of a one-piece zirconia ceramic dental implant that uses finite element simulation with dynamic loads and experimental validation using a fatigue test. The key dimensions of the implant’s shape are the factors for the simulation. Their effect on micromotion is determined using a uniform design of experiment. The Kriging interpolation method and a genetic algorithm (KIGA) are used to optimize the geometric features, in order produce an optimized one-piece dental implant model. The model is fabricated using a three-dimensional slurry printer. The lifetime of the zirconia implant is evaluated using a fatigue test. The numerical result for the objective function shows that the micromotion for the optimized dental implant is 27.58 μm, which is less than the value of 72.62 μm for the original numerical prediction. The safety factor also increases to 1.54 from 1.16. This demonstrates that the optimized dental implant is better than the original design because the degree of micromotion is much lower than the stability threshold. The fatigue test also shows that the safety factor increases to 1.54. Therefore, the proposed procedure produces a dental implant with an optimized shape.

Vorheriger Artikel Topology optimization framework for structures subjected to stationary stochastic dynamic loads

Nächster Artikel Topology optimization of dynamic stress response reliability of continuum structures involving multi-phase materials

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Titel: Finite element based optimization design for a one-piece zirconia ceramic dental implant under dynamic loading and fatigue life validation
verfasst von: Yung-Chang Cheng
Cho-Pei Jiang
Deng-Huei Lin
Publikationsdatum: 02.10.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 3/2019
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-018-2104-2

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