Design optimization of a radial functionally graded dental implant

Abstract

In this work, we use FEA to test the hypothesis that a low-modulus coating of a cylindrical zirconia dental implant would reduce the stresses in the peri-implant bone and we use design optimization and the rule of mixture to estimate the elastic modulus and the porosity of the coating that provides optimal stress shielding. We show that a low-modulus coating of a dental implant significantly reduces the maximum stresses in the peri-implant bone without affecting the average stresses thus creating a potentially favorable biomechanical environment. Our results suggest that a resilient coating is capable of reducing the maximum compressive and tensile stresses in the peri-implant bone by up to 50% and the average stresses in the peri-implant bone by up to 15%. We further show that a transitional gradient between the high-modulus core and the low-modulus coating is not necessary and for a considered zirconia/HA composite the optimal thickness of the coating is 100 µ with its optimal elastic at the lowest value considered of 45 GPa.

Cementum is key to periodontal tissue regeneration: A review on apatite microstructures for creation of novel cementum‐based dental implants

“…This direct bonding may reduce the risk of delamination between the formed cementum and the implant. The development of appropriate zirconia composite is, of course, needed to control the large difference in elastic modulus between zirconia and bone (Ding, Chu, & Chen, 2021; Ichim, Hu, Bazen, & Yi, 2016; Shi, Wang, Liang, Zhou, & Zheng, 2016).…”

Functional Gradient Metallic Biomaterials: Techniques, Current Scenery, and Future Prospects in the Biomedical Field

“…Another successful porous FGM Ti dental implant was produced by Traini et al (2008) via direct laser metal sintering with satisfactorily elastic properties, minimum stress shielding effects, and improved long-term performance. Additionally, there are lots of finite element modeling about FGM dental implants showing the effectiveness of the FGM concept in reduction of stresses in periphery tissues (Sadollah and Bahreininejad, 2011;Ichim et al, 2016).…”

Design optimization under uncertainties of a mesoscale implant in biological tissues using a probabilistic learning algorithm

“…Design optimization of implants in bone at macroscale by using deterministic computational models has also received increased attention (see for instance [36,43,50,53,56,74]). However, there are only a few works in the framework of the optimization under uncertainties in biomechanics (see for instance [34,65,67,73]).…”