Parametric analysis of the influence of texture on human dental surface hardness.

Autor: Oliveira EA; Graduate Program in Computational Modeling, UFJF, Juiz de Fora, Brazil; Estácio Juiz de Fora University Center, Juiz de Fora, Brazil. Electronic address: evelyn.oliveira@ice.ufjf.br., Bastos FS; Graduate Program in Computational Modeling, UFJF, Juiz de Fora, Brazil; Computational and Applied Mechanics Department, UFJF, Juiz de Fora, Brazil., Fonseca LG; Graduate Program in Computational Modeling, UFJF, Juiz de Fora, Brazil; Computational and Applied Mechanics Department, UFJF, Juiz de Fora, Brazil., Las Casas EB; Structural Engineering Department, UFMG, Belo Horizonte, Brazil., Meireles AB; Pharmaceutical Sciences Graduate Program, UFVJM, Brazil.
Jazyk: angličtina
Zdroj: Journal of the mechanical behavior of biomedical materials [J Mech Behav Biomed Mater] 2020 Feb; Vol. 102, pp. 103495. Date of Electronic Publication: 2019 Oct 23.
DOI: 10.1016/j.jmbbm.2019.103495
Abstrakt: Tooth wear is one of the dental abnormalities commonly found in different populations. The objective of this work is to conduct a parametric analysis to evaluate the texture influence on the human dental surface hardness, considered here as the ratio between contact force and contact area, obtained through homogenization procedure. A code was implemented using the statistical package R for parametric analysis. The computational approach consists of three routines: numerical generation of surfaces, based on Pearson system; the second, a script coupled to the Finite Element program Abaqus, for the modelling of the micro-contacts; the third for homogenization and statistical analysis of results. The average curvature of the roughness exerts the greatest influence on the surface hardness. The parameters that most influence the development of contact forces are kurtosis followed by skewness.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2019 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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