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유전자알고리즘을 이용한 임플란트용 실링어버트먼트의 홈 깊이 최적화에 관한 연구

Optimization of the Groove Depth of a Sealing-type Abutment for Implant Using a Genetic Algorithm

  • Lee, Hyeon-Yeol (School of Mechanical Engineering, Changwon National University) ;
  • Hong, Dae-Sun (School of Mechanical Engineering, Changwon National University)
  • 투고 : 2018.07.22
  • 심사 : 2018.08.13
  • 발행 : 2018.12.31

초록

Dental implants are currently widely used as artificial teeth due to their good chewing performance and long life cycle. A dental implant consists of an abutment as the upper part and a fixture as the lower part. When chewing forces are repeatedly applied to a dental implant, gap at the interface surface between the abutment and the fixture is often occurred, and results in some deteriorations such as loosening of fastening screw, dental retraction and fixture fracture. To cope with such problems, a sealing-type abutment having a number of grooves along the conical-surface circumference was previously developed, and shows better sealing performance than the conventional one. This study carries out optimization of the groove shape by genetic algorithm(GA) as well as structural analysis in consideration of external chewing force and pretension between the abutment and the fixture. The overall optimization system consists of two subsystems; the one is the genetic algorithm with MATLAB, and the other is the structural analysis with ANSYS. Two subsystems transmit and receive the relevant data with each other throughout the optimization processes. The optimization result is then compared with that of the conventional one with respect to the contact pressure and the maximum stress. The result shows that the optimized model gives better sealing performance than the conventional sealing abutment.

키워드

참고문헌

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피인용 문헌

  1. 치과용 임플란트의 레이저 표면처리 공정기술 개발 vol.20, pp.3, 2018, https://doi.org/10.14775/ksmpe.2021.20.03.100