%0 Journal Article
%T Uncertainty optimization of dental implant based on finite element method, global sensitivity analysis and support vector regression
%A Hongyou Li
%A Maolin Shi
%A Xiaomei Liu
%A Yuying Shi
%J Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
%@ 2041-3033
%D 2019
%R 10.1177/0954411918819116
%X In this work, an uncertainty optimization approach for dental implant is proposed to reduce the stress at implant¨Cbone interface. Finite element method is utilized to calculate the stress at implant¨Cbone interface, and support vector regression is used to replace finite element method to ease the computational cost. Deterministic optimization based on support vector regression is conducted, which demonstrates that the method using support vector regression replacing finite element method in dental implant optimization is efficient and reliable. Global sensitivity analysis based on support vector regression is used to assign different uncertainties (manufacturing errors) to different design variables to save the manufacturing cost. Two popular uncertainty optimization methods, k-sigma method and interval method, are used for the uncertainty optimization of dental implant. The results indicate that the stress at implant¨Cbone interface is reduced greatly considering the uncertainties in design variables with the manufacturing cost increasing a little. This approach can be promoted to other types of bio-implants
%K Dental implant
%K uncertainty optimization
%K finite element method
%K global sensitivity analysis
%K support vector regression
%U https://journals.sagepub.com/doi/full/10.1177/0954411918819116