다양한 설계변수를 고려한 수직하중을 받는 일체형 임플랜트의 최적설계

최재민; 한종현; 전홍재; 이수홍

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다양한 설계변수를 고려한 수직하중을 받는 일체형 임플랜트의 최적설계
AN OPTIMIZATION OF ONEBODY TYPE IMPLANT SYSTEM CONSIDERING VARIOUS DESIGN PARAMETERS

대한치과보철학회지 2006년 44권 2호 p.185 ~ 196

최재민, 한종현, 전홍재, 이수홍,

소속 상세정보

최재민 ( Choi Jae-Min ) - 연세대학교 기계공학과 대학원
한종현 ( Han Chong-Hyun ) - 연세대학교 치과대학 치과보철학교실
전홍재 ( Chun Heoung-Jae ) - 연세대학교 기계공학부
이수홍 ( Lee Soo-Hong ) - 연세대학교 기계공학부

KMID : 0362420060440020185

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).