TY - JOUR
T1 - Optimization of the conical angle design in conical implant-abutment connections
T2 - A pilot study based on the finite element method
AU - Yao, Kuang Ta
AU - Chen, Chen Sheng
AU - Cheng, Cheng Kung
AU - Fang, Hsu Wei
AU - Huang, Chang Hung
AU - Kao, Hung Chan
AU - Hsu, Ming Lun
N1 - Publisher Copyright:
© 2018 Allen Press Inc. All Rights Reserved.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Conical implant-abutment connections are popular for their excellent connection stability, which is attributable to frictional resistance in the connection. However, conical angles, the inherent design parameter of conical connections, exert opposing effects on 2 influencing factors of the connection stability: frictional resistance and abutment rigidity. This pilot study employed an optimization approach through the finite element method to obtain an optimal conical angle for the highest connection stability in an Ankylos-based conical connection system. A nonlinear 3-dimensional finite element parametric model was developed according to the geometry of the Ankylos system (conical half angle ¼ 5.78) by using the ANSYS 11.0 software. Optimization algorithms were conducted to obtain the optimal conical half angle and achieve the minimal value of maximum von Mises stress in the abutment, which represents the highest connection stability. The optimal conical half angle obtained was 10.18. Compared with the original design (5.78), the optimal design demonstrated an increased rigidity of abutment (36.4%) and implant (25.5%), a decreased microgap at the implant-abutment interface (62.3%), a decreased contact pressure (37.9%) with a more uniform stress distribution in the connection, and a decreased stress in the cortical bone (4.5%). In conclusion, the methodology of design optimization to determine the optimal conical angle of the Ankylos-based system is feasible. Because of the heterogeneity of different systems, more studies should be conducted to define the optimal conical angle in various conical connection designs.
AB - Conical implant-abutment connections are popular for their excellent connection stability, which is attributable to frictional resistance in the connection. However, conical angles, the inherent design parameter of conical connections, exert opposing effects on 2 influencing factors of the connection stability: frictional resistance and abutment rigidity. This pilot study employed an optimization approach through the finite element method to obtain an optimal conical angle for the highest connection stability in an Ankylos-based conical connection system. A nonlinear 3-dimensional finite element parametric model was developed according to the geometry of the Ankylos system (conical half angle ¼ 5.78) by using the ANSYS 11.0 software. Optimization algorithms were conducted to obtain the optimal conical half angle and achieve the minimal value of maximum von Mises stress in the abutment, which represents the highest connection stability. The optimal conical half angle obtained was 10.18. Compared with the original design (5.78), the optimal design demonstrated an increased rigidity of abutment (36.4%) and implant (25.5%), a decreased microgap at the implant-abutment interface (62.3%), a decreased contact pressure (37.9%) with a more uniform stress distribution in the connection, and a decreased stress in the cortical bone (4.5%). In conclusion, the methodology of design optimization to determine the optimal conical angle of the Ankylos-based system is feasible. Because of the heterogeneity of different systems, more studies should be conducted to define the optimal conical angle in various conical connection designs.
KW - Abutment fracture
KW - Ankylos implant system
KW - Conical angle
KW - Conical implant-abutment connection
KW - Design optimization
KW - Nonlinear finite element analysis
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U2 - 10.1563/aaid-joi-D-17-00149
DO - 10.1563/aaid-joi-D-17-00149
M3 - Article
C2 - 29090979
AN - SCOPUS:85041928642
SN - 0160-6972
VL - 44
SP - 26
EP - 35
JO - Journal of Oral Implantology
JF - Journal of Oral Implantology
IS - 1
ER -