An optimization of onebody type implant system considering various design parameters.
- Author:
Jae Min CHOI
1
;
Heoung Jae CHUN
;
Soo Hong LEE
;
Chong Hyun HAN
Author Information
1. Department of Mechanical engineering, College of Engineering, Yonsei University, Korea.
- Publication Type:Original Article
- Keywords:
Implant;
Optimization;
Finite element analysis;
Sensitivity analysis
- MeSH:
Finite Element Analysis;
Radius
- From:The Journal of Korean Academy of Prosthodontics
2006;44(2):185-196
- CountryRepublic of Korea
- Language:Korean
-
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. Vertical 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, fixture length, tapered angle of fixture, inclined angle of thread, width of micro thread and width of power thread. The statistical technique of Design of Experiments(DOE) was applied to 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 fixture, 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).
