Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Fibre Bragg Grating Based Characterization System for Dental Resin Composites

Not Accessible

Your library or personal account may give you access

Abstract

The characterization of the physical properties of dental resin composites is fraught with difficulties relating to significant intra and inter test parameter variabilities and is relatively time consuming and expensive. The main aim of this study was to evaluate whether optical fibre Brag grating (FBG) sensing system may become a viable tool to study dental material characteristics. Of particular focus was the potential for the system to demonstrate a multi parameter all-in-one feature. A miniature FBG was embedded in six different dental resin composites and employed as a sensor to evaluate linear polymerization shrinkage, thermal expansion and water sorption. This study demonstrates how optical fibre technology can provide simple and reliable methods of measuring the critical physical properties of dental composites. In addition due to the embedding and preservation of the sensor within the samples multiple parameters can be tested for with the same sample.

© 2016 Optical Society of America

PDF Article
More Like This
Dentistry applications of fibre Bragg gratings: irradiation protocols for bulk fill flow dental composites

Ana Paula Gebert de Oliveira Franco, Manoella M. M. Costa, Leandro Zen Karam, Osnara Maria Mongruel Gomes, and Hypolito José Kalinowski
WF6 Optical Fiber Sensors (OFS) 2018

In-situ characterization of epoxy composites with polymer-coated fiber Bragg grating sensors

Umesh Sampath, Hyunjin Kim, Dae-gil Kim, and Minho Song
Th4A.42 Asia-Pacific Optical Sensors Conference (APOS) 2016

Optical Study of Short-Term Polymerization Kinetics for Dental Resin Cement

Fernando A. Moura Saccon, Fernanda Mantuan Dala Rosa de Oliveira, Luís V. Muller Fabris, Sherif S. Sherif, Marcia Muller, and José L. Fabris
LTh3B.4 Latin America Optics and Photonics Conference (LAOP) 2014

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.