Multi‐objective design optimization of dental implant geometrical parameters. (9th August 2021)

• Record Type: Journal Article
• Authors: Moradi, Hamidreza; Beh Aein, Roozbeh; Youssef, George
• Is Part Of: International journal for numerical methods in biomedical engineering. Volume 37:Number 9(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-09
• Subjects: computer aided design -- dental implant -- finite element analysis -- multi‐objective optimization -- response surface methodology; Biomedical engineering -- Periodicals; Imaging systems in medicine -- Periodicals; Numerical analysis -- Periodicals; Engineering mathematics -- Periodicals; 610.28
• DOI: 10.1002/cnm.3511
• Languages: English
• ISSNs: 2040-7939

Abstract

Abstract: In‐silico investigations are becoming an integral part of the development of novel biomedical devices, including dental implants. Using computer simulations can streamline the process by tuning different geometrical and structural features, emphasizing the osseointegration of the implant design a priori, leading to the optimal designs in preparation for in‐vivo trails. This research aims to elucidate the interrelationship between 12 geometrical variables that holistically define the shape of the implant. The approach to achieve optimality hinged on coupling the finite element analysis results with the fractional factorial design method. The latter was used to determine the most influential variables during the screening process, followed by the parameter optimization process using the response surface method, regarding four different objectives, namely: bone‐implant contact area, volume of trabecular bone dead cells, volume of cortical bone dead cells, and axial displacement. This resulted in reducing the number of virtual experiments and substantially decreasing the computational cost without compromising the accuracy of the solution. It was found that the optimized values improved the performance significantly. The validity of all models was verified by comparing optimized responses with simulation results. A sensitivity analysis was performed on all five optimized models to address the effect of friction coefficient on the implant‐bone joint interaction. It was shown that the mechanical behavior of implant‐bone would be independent in higher friction coefficients. The significance of this study is demonstrated in determining the most effective and optimized values of all possible geometrical parameters considering their singular or interactive effects. Abstract : This research aims to improve the stability and functionality of dental implants by elucidating the interrelationship between 12 geometrical variables that holistically define the shape of the implant. Fractional factorial design method was used to determine the most effective variables during the screening process, followed by the parameter optimization process using the response surface method. The significance of this study demonstrated in determining the most effective and optimized values of all possible geometrical parameters considering their singular or interactive effects.