Desenvolvimento de modelos computacionais parametrizados para análise do contato dentário humano

Abstract

The enamel is characterized by a rough surface, which causes friction when they rub together. The act of a tooth is rubbed with another form of excessive tooth wear intensifies. Thus it is necessary to understand the origin of the problem, which was done by computer modeling. The approach used to simulate the contact between rough surfaces consisting of once-known probability density functions and their respective domains discretized them into n intervals so that each represent one major surface roughness. The deformations of asperity key is analyzed and is determined by means of homogenization techniques, the bond between the responses that occurred in micro-scale with a predicted response in macro-scale. This work created parameterized scripts in python language for the program Abaqus, based on statistical models of contact, that generate and modify the geometry of the main asperities, their material properties, loads, and contact conditions, and read and write to a database the solutions. From there it was implemented numerical methods to approximate and interpolate the responses, and conclude what are the parameters that actually influence the deformation of asperities.