Design methodology for dental implant using approximate solution techniques

Abstract

With the developing technology, dental implants have been widely used in recent years. These implants are surgically implanted into a jaw bone to support missing teeth. Implants are usually made of titanium and are biocompatible. The design and analysis of the dental implant is based on expert knowledge, experience and ability to work seamlessly on the patient. Due to the difficulties in performing dental implant tests in vivo, the geometric shape design of the dental implant must be performed before it is applied to a patient and mathematical models have been developed to perform structural analysis. In this study, a design strategy for dental implant design was proposed. In this proposed strategy, finite element analysis, numerical optimization method and probabilistic design approach Monte Carlo simulation are integrated to work together automatically.