Session: 15-01-01: ASME International Undergraduate Research and Design Exposition

Paper Number: 149128

149128 - Machine Learning-Aided Design and Finite Element Analysis of Dental Implants in Abaqus 

The longevity and functionality of dental implants are critical for patient satisfaction and oral health, yet current designs often face challenges related to stress concentrations that can lead to structural failure under dynamic loading conditions. This research is motivated by the need to enhance the mechanical design of dental implants to improve their durability and performance. The primary purpose of this study is to utilize finite element analysis (FEA) to investigate and optimize the mechanical design parameters of dental implants, with a specific focus on fatigue life, stress distribution, and deformation. Our work contributes to advancing both science and engineering by providing a comprehensive analysis of stress concentration points, particularly at the interface between the screw and implant. By identifying optimal dimensions, materials, and geometries, we aim to mitigate these stress points and enhance implant reliability. This study employs FEA as a computational methodology to simulate real-world loading conditions and evaluate the biomechanical responses of different implant designs. The methodology involves creating detailed models of dental implants using FEA, incorporating various materials and geometries. We simulated fatigue loading condition to simulate the biting and chewing forces, to observe the implants' mechanical responses. This approach allowed us to identify specific stress concentration points and deformation patterns that could compromise the implant's structural integrity over time. We then explored design modifications, including altering implant geometry and selecting materials with superior mechanical properties, to reduce stress concentrations and improve fatigue life. Preliminary results indicate that maximum deformation occurs on the implant cap with a total deflection of 1 mm, while maximum stress is concentrated at the screw-implant contact location. The life cycle corresponds to 10⁸ cycle which meets the safety requirements.  These findings highlight the critical areas that need to be addressed to enhance implant dependability. Specifically, materials with higher strength and better fatigue resistance, such as titanium alloys, significantly reduce stress concentrations at critical points. Additionally, incorporating a tapered design helps distribute stress more evenly, reducing the likelihood of structural failure. Finally, this study presents an enhanced methodology for designing dental implants that meet clinical requirements and improve structural integrity through advanced modeling techniques. By addressing critical stress concentration areas, we can develop more reliable and durable dental implants. These improvements promise to enhance patient outcomes and overall oral health. Future research will focus on further optimizing designs, conducting physical tests to verify simulation outputs, and exploring alternative materials and production techniques. This comprehensive approach will drive continuous innovation in dental implant design, ultimately leading to superior implant performance and patient satisfaction.

Presenting Author: Moath Aleidi American University of the Middle East

Presenting Author Biography: I am an undergraduate mechanical engineer who has knowledge of courses related to mechanical design and material selection.

Authors:

Waleed Alghareeb American University of the Middle East
Moath Aleidi American University of the Middle East
Hamad Albloushi Amercian University of the Middle East
Hussain Alsalman American University of the Middle East
Yousef Alyacoub American University of the Middle East