Multi-Objective Optimization of Dental Implant Designs With Multi-Recessed Holes: Insights From Static and Dynamic...

Area of Science:

• Biomaterials Engineering
• Mechanical Engineering
• Dental Implantology

Background:

• Dental implant longevity and success are influenced by design and mechanical performance.
• Optimizing implant geometry is crucial for withstanding static and dynamic loading conditions.
• Current designs may require enhancement to improve fatigue resistance and reduce micromotion.

Purpose of the Study:

• To develop and optimize a novel dental implant design with multi-recessed holes.
• To evaluate the impact of implant geometry on fatigue safety factor, equivalent stress, and micromotion.
• To enhance the overall mechanical performance and success rate of dental implants.

Main Methods:

• Integrated multi-objective optimization framework using Kriging interpolation (KGI), entropy weighting analysis (EWA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and genetic algorithms (GA).
• Experimental simulations utilizing the uniform design (UD) method.
• Finite element analysis (FEA) for static and dynamic loading simulations, assessing fatigue safety factor, equivalent stress, and micromotion.

Main Results:

• The optimized dental implant design achieved a fatigue safety factor of 3.022 and an equivalent stress of 459.49 MPa.
• Significant improvements were observed: a 28.1% increase in fatigue safety factor and a 3.2% reduction in equivalent stress compared to the original design.
• The optimized design demonstrated a 37.1% improvement in reducing micromotion to 32.96 μm under dynamic chewing loads.

Conclusions:

• The multi-objective optimization framework effectively enhanced dental implant performance.
• The novel multi-recessed hole design significantly improves fatigue safety factor, strength, and reduces micromotion.
• This optimized design offers a promising advancement for dental implantology, improving longevity and success rates.