Design of Ti composite with bioactive surface for dental implant

ABSTRACT

Artificial neural network (ANN) and genetic algorithm (GA) are used for designing Ti alloy and composite suitable for dental implant. Hydroxyapatite (HAp), having similarity to the human hard tissues, helps the bone growth. A bioactive surface of the implant with the presence of HAp helps to make the implant last for a longer period of time. A layered Ti alloy – HAp composite is designed in this work. A Ti alloy – HAp composite-based two-layered implant with high strength and low elastic modulus, the inner part (core) of the implant consisting only the Ti alloy, and the outer part (shell) of the implant made of the composite is designed. The objectives of achieving low elastic modulus (EM) and high yield strength (YS) are conflicting in nature, and dealt with multi-objective optimization, where cost of the alloy is included as the third objective, to make the material affordable to the common people. The designed alloy and composites are designed is developed experimentally, and a preliminary study on the microstructure and mechanical properties is conducted.

KEYWORDS:

• Implant
• titanium
• hydroxyapatite
• composites
• neural
• network
• genetic
• algorithm
• multi-objective
• optimization
• mechanical
• properties