Objectives: The purpose of this in vitro study was to evaluate the effects of different finishing/polishing techniques on the surface roughness of nanocomposites after thermocycling aging.
Materials And Methods: Five contemporary resin-based composites (Clearfil Majesty ES-2, Filtek Z550, Estelite∑Quick, Zenit, Filtek Z250) were tested. For each resin-based composite, 50 disc-shaped specimens were prepared and groups were divided into five subgroups according to the finishing/polishing methods (n = 10): control, finishing/polishing brush, finishing/polishing disc, and two different finishing/polishing wheels. Before and after aging, the surface roughness of specimens was measured. For each treatment method two samples were analyzed using a scanning electron microscope. Two-way analysis of variance and paired samples t-tests were used to evaluate the data and the means were compared by Bonferroni tests (p ≤ 0.05).
Results: Before aging, the Filtek Z250 resin with the Mylar strip group showed the lowest surface roughness (Ra) value (0.13 ± 0.03 µm, p < 0.05) and the Clearfil Majesty ES 2 resin with Occlubrush finishing/polishing system showed the highest (0.7 ± 0.13 µm, p < 0.05). After aging, the Clearfil Majesty ES 2 resin with the Mylar strip group showed the highest surface roughness (Ra) value (0.96 ± 0.4 µm) and the Clearfil Majesty ES 2 resin with the Sof-Lex aluminum oxide disc finishing/polishing system showed the lowest surface roughness (Ra) value (0.25 ± 0.06 µm, p < 0.05).
Conclusions: Composite type and finishing/polishing method significantly affected the surface roughness of composites before and after thermocycling aging.
Clinical Significance: There were significant interactions between finishing/polishing methods and composite types for surface roughness. The results give clinicians some flexibility in choosing appropriate finishing/polishing techniques for each resin composite material. (J Esthet Restor Dent 28:247-261, 2016).
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http://dx.doi.org/10.1111/jerd.12215 | DOI Listing |
Sci Rep
December 2024
Department of Mechanical Engineering, School of Science and Engineering, The American University in Cairo, AUC Avenue, 11835, New Cairo, Egypt.
This study investigates the ablation performance of Inconel 718, a nickel-based superalloy, and metal matrix polycrystalline diamond (MMPCD), a super composite, using a nano-second (ns) pulsed laser across a range of ablation conditions. Single trenches varying in energy fluence and scanning speeds were created, analyzing the experimental responses in terms of ablation rate and surface roughness. Using regression techniques, models were developed to understand these relationships.
View Article and Find Full Text PDFData Brief
December 2024
Centro Universitário FEI, Avenida Humber de Alencar Castelo Branco, 3972, São Bernardo do Campo, 09850-901 São Paulo, Brazil.
The Ti6Al4V alloy is widely recognized for its extensive industrial applications, particularly in the aeronautics sector, due to its exceptional strength to-weight ratio and corrosion resistance. In this context, many industrial processes depend critically on surface area, topology, and roughness. A promising approach involves combining Ti6Al4V alloy with polymer composites, which offers significant potential for engineers to design parts that are not only high-performing but also environmentally friendly.
View Article and Find Full Text PDFJACS Au
December 2024
Department of Materials Design Innovation Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Aichi, Japan.
Controlling the nucleation, growth, and dissolution of Li is crucial for the high cycling stability in rechargeable Li metal batteries. The overpotential for Li nucleation (η) on Li alloys such as Li-Au is generally lower than that on metal current collectors (CCs) with very limited Li solubility like Cu. However, the alloying process of CC and its impact on the Li nucleation kinetics remain unclear.
View Article and Find Full Text PDFHeliyon
December 2024
School of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box 395, Nekemte, Ethiopia.
Turning AISI (American Iron and Steel Institute) D3 tool steel can be challenging due to a lack of optimal process parameters and proper coolant application to achieve high surface quality and temperature control. Machine learning helps in predicting the optimal parameters, whereas nanofluids enhance cooling efficiency while preserving both the tool and the workpiece. This work intends to utilize advanced machine learning approaches to optimize process parameters with the application of hybrid nanofluids (AlO/graphene) during the CNC turning of AISI D3.
View Article and Find Full Text PDFDent Res J (Isfahan)
November 2024
Department of Orthodontics, Faculty of Dentistry, Tehran Azad University of Medical Sciences, Tehran, Iran.
Background: With recent increases in demand for the esthetic aspects of orthodontic treatments, the use of ceramic brackets has gained more popularity. Dental demineralization is a frequent, undesired effect of microbial biofilm adhesion to orthodontic appliances. The crystalline structure of ceramics results in different material properties, and its possible effect on microbial adhesion was investigated in this study.
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