Improvement of properties related to mechanical strength, polymerization and dimensional stability of polymeric materials for interim restorations made by 3D printing

• Grant number: 20/01815-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: June 01, 2020
• End date: April 30, 2024
• Field of knowledge: Health Sciences - Dentistry - Dental Clinics
• Principal Investigator: Marcelo Giannini
• Grantee: Amanda Endres Willers
• Host Institution: Faculdade de Odontologia de Piracicaba (FOP). Universidade Estadual de Campinas (UNICAMP). Piracicaba , SP, Brazil
• Associated scholarship(s): 21/13857-3 - Evaluation of volumetric shrinkage, marginal/internal fit, and fatigue strength of 3D-printing experimental resin materials for provisional restoration, BE.EP.DR

Abstract

This project aims to improve the properties of polymeric materials manufactured by 3D Printing with indication for temporary restoration, regarding mechanical resistance, degree of monomer conversion and dimensional stability. It will be taken through the incorporation of silanized filler particles and a blue light susceptible photoinitiator system to these materials, in addition to changing the light source of the additional polymerization chamber on the 3D printer. The experimental design has 3 factors: I- material (Smart Print Temp; ResinaLab 3D Premium; Cosmos Temp); II- Filler Content (0, 5, 10, 30 and 50%) and III- Photoinitiator (with or without the addition of an alternative photoinitiator system). The samples will be obtained with a 3D printer, in size and quantity necessary for each evaluation: flexural strength and elasticity module (n=12); sorption and solubility (n=5); degree of conversion (n=5); depth of cure and microhardness (n=5); layers morphological analysis (n=5) and dimensional stability (n=12). The experimental groups of each material that present the best results will be further evaluated for volumetric contraction (n=12) and marginal/internal adaption (n=12) by micro-computed tomography, and for fatigue resistance (n=12) in a fatigue universal machine. The obtained data will be analyzed with SPSS Software, and, in case of normality, the analysis of Variance (ANOVA) and Tukey's Test (p<0.05) will be applied. (AU)