The Journal of Korean Academy of Prosthodontics (대한치과보철학회지)

The Korean Academy of Prosthodonitics (대한치과보철학회)
권호 표지

AN OPTIMIZATION OF ONEBODY TYPE IMPLANT SYSTEM CONSIDERING VARIOUS DESIGN PARAMETERS

다양한 설계변수를 고려한 수직하중을 받는 일체형 임플랜트의 최적설계

  • 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)
  • 최재민 (연세대학교 기계공학과 대학원) ;
  • 전흥재 (연세대학교 기계공학부) ;
  • 이수홍 (연세대학교 기계공학부) ;
  • 한종현 (연세대학교 치과대학 보철학교실)
  • Published : 2006.04.01
Download PDF
⟨ Previous Next ⟩

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

References

  1. Rieger MR. Adams WK, Kinzel GL, Brose MD. Alternative materials for three endosseous implants. J Prosth Dent 1989: 61 :6:717-722 https://doi.org/10.1016/S0022-3913(89)80049-6
  2. Clelland NL. Ismail YH. Zaki HS. Pipko D. Three-dimensional Finite Element Stress Analysis in and around the Screw-Vent Implant. Int J Oral Maxillofac Implants 1991:6:391-398
  3. Siegele D. Numerical Investigations of the Influence of Implant Shape on Stress Distribution in the Jaw Bone. Int J Oral Maxillofac Implants 1989;4:333-340
  4. Chun HJ, Cheong SY. Han JH. Heo SJ, Chung JP, Rhyu IC. Choi YC, Paik HK, Ku Y. Kim M. Evaluation of Design Parameters of Osseointegrated Dental Implants Using Finite Element Analysis. J Oral Rehab 2002; 29: 565-574 https://doi.org/10.1046/j.1365-2842.2002.00891.x
  5. Renouard F. Arnoux JP. Sarment DP. Five-mm-dlameter implants without a smooth surface collar: Report on 98 consecutive placements. Int J Oral Maxillofac Implants 1999;14:101-107
  6. Minsk L. Polson AM. Weisgold A Rose LF. Baumgarrten H. Outcome failures of endosseous implants from a clinical training center. Compend Contin Educ Dent 1996;17:9:848-856
  7. Holmgren EP. Seckinger RJ. Kilgren LM. Evaluating Parameters of Osseo-integrated Dental Implant Using Finite Element Analysis a Two-dimensional Comparative Study Examining the Effects of Implant Diameter. Implant Shape. and Load Direction. J Oral ImplatoI 1998;24:2:80-88 https://doi.org/10.1563/1548-1336(1998)024<0080:EPOODI>2.3.CO;2
  8. Carter DR. Caler WE. A cumulative damage model for bone fracture. J Orthop Res 1985;3:1:84-90 https://doi.org/10.1002/jor.1100030110
  9. Rice JC. Cowin SC. Bowman JA. On the dependence of the elasticity and strength of cancellous bone on apparent density. J Biomech 1988 :21: 155-168 https://doi.org/10.1016/0021-9290(88)90008-5
  10. Jasbir S. Arora. Introduction to Optimum Design. Second Edition. Elsevier Academic Press. San Diego. CA. 2004
  11. Douglas C. Montgomery, Elizabeth A. Peck. Introduction to linear regression analysis, Wiley series in probability and mathematical statistics. 1982
  12. Hrishikesh D. Vinod, Aman Ullah, Recent advances in regression methods, Marcel Dekker Inc 1981
  13. Vanderplaats GN. VisualDOC 2.1 : Theoretical Manual. http://www.vrand.com. 2001
  14. Marler RT and Arora JS. Review article: Survey of multi-objective optimization methods for engineering. Struct Multidisc Optim 2004:26: 369-395 https://doi.org/10.1007/s00158-003-0368-6
  15. Stoyanov S, Bailey C. Optimisation and finite element analysis for reliable electronic packaging, EuroSIME2003 : The 4th international conference on thermal & mechanical simulation and experiments in micro-electronics and micro-systems Aixen-Provence. France 2003:391-398
  16. Vanderplaats GN. Numerical optimization techniques for engineering design: with applications. VR&D. Colorado. 1999
  17. Jack PC. Kleijnen. An overview of the design and analysis of simulation experiments for sensitivity analysis. European Journal of Operational Research 2005: 164: 287-300 https://doi.org/10.1016/j.ejor.2004.02.005
  18. Verna C. Melsen B. Melsen F. Differences in static cortical bone remodeling parameters in human mandible and iliac crest. Bone 1999:25:5:577-583 https://doi.org/10.1016/S8756-3282(99)00206-9
  19. Carl E. Misch. Zhimin Qu. and Martha W. Bidez. Mechanical properties of trabecular bone in the human mandible : Implications for dental implant treatment planning and surgical placement. J Oral Maxillofac Surg 1999:57:700-706 https://doi.org/10.1016/S0278-2391(99)90437-8
  20. M. Ito. A. Nishida. A. Koga. S. Ikeda. A. Shiraishi. M. Uetani, K. Hayashi, and T. Nakamura. Contribution of trabecular and cortical components to the mechanical properties of bone and their regulating parameters. Bone 2002:31:3:351-358 https://doi.org/10.1016/S8756-3282(02)00830-X
  21. Haldun Iplikcioglu. and Kivanc Akca. Comparative evaluation of the effect of diameter. length and number of implants supporting three-unit fixed partial prostheses on stress distribution in the bone. J Dent 2002:30:41-46 https://doi.org/10.1016/S0300-5712(01)00057-4