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AN OPTIMIZATION OF ONEBODY TYPE IMPLANT SYSTEM CONSIDERING VARIOUS DESIGN PARAMETERS  

Choi Jae-Min (Dept. of Mechanical engineering, College of Engineering, Yonsei University)
Chun Heoung-Jae (Dept. of Mechanical engineering, Graduate School, Yonsei University)
Lee Soo-Hong (Dept. of Mechanical engineering, Graduate School, Yonsei University)
Han Chong-Hyun (Dept. of Prosthodontics, College of Dentistry, Yonsei University)
Publication Information
The Journal of Korean Academy of Prosthodontics / v.44, no.2, 2006 , pp. 185-196 More about this Journal
Abstract
Statement of problem: The researches on the influence of design variables on the stress distribution in cortical and trabecular bones and on optimal design for implant system were limited. Purpose: The purpose of this study is to identify the sensitivities of design parameters and to suggest the optimal parameters for designing the onebody type implant system. Material and methods: Stresses arising in the implant system were obtained by finite element analysis using a three dimensional model. An onebody type implant system[Oneplant (Warrantec. Co. Ltd., Korea)] was considered in this study. Vortical load(150 N) was applied on the top of the abutment along the axial direction. The initial design variables set for sensitivity analysis were radius of fixture, numbers of micro thread, numbers of power thread, height of micro thread, future length, tapered angle of future, inclined angle of thread, width of micro thread and width of power thread. The statistical technique of Design of Experiments(DOE) was applied tn the simulation model to deduce effective design parameters on stress distributions in bones. The deduced design parameters were incorporated into a fully automated design tool which is coupled with the finite element analysis and numerical optimization to determine the optimal design parameters. Results: 1. The result of sensitivity analysis showed six design variables - radius of future, tapered angle of fixture, inclined angle of thread, numbers of power thread, numbers of micro thread and height of micro thread - were more influential than the others. 2. The optimal values of design variables can be deduced by coupling finite element analysis (FEA) and design optimization tool(DOT).
Keywords
Implant; Optimization; Finite element analysis; Sensitivity analysis;
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