Journal ArticleDOI
Tribological behavior of dental restorative composites in chewable tobacco environment.
Abhijeet S. Suryawanshi,Niranjana Behera +1 more
- Vol. 234, Iss: 10, pp 1106-1112
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TLDR
Under different loading conditions, Z350 Dentin material exhibited much less wear than the Tetric N-Ceram material in the presence of synthetic saliva for the specimen with or without tobacco immersion.Abstract:
This study investigates the effect of smokeless tobacco on the tribological properties of two commercially used dental composite materials: Tetric N-Ceram and Z350 Dentin shade. It is to evaluate t...read more
Citations
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Prediction of abrasive wears behavior of dental composites using an artificial neural network
TL;DR: The findings of the ANN modeling were prominently matching with the results of the experiments; therefore, parametric analysis was used based on the model's predicted values.
Journal ArticleDOI
On pre and post-processing of 3D printed ABS thermoplastic sacrificial pattern for strategic dog teeth
Journal ArticleDOI
Dental composite resin: a review of major mechanical properties, measurements and its influencing factors
TL;DR: In this article , the common laboratory tests used to evaluate the mechanical characteristics, composition, and classification of dental composite materials, as well as the factors that influence mechanical qualities, are discussed in this study.
Journal ArticleDOI
Application of Tribology Concept in Dental Composites Field: A Scoping Review
Giusy Rita Maria La Rosa,Luigi Generali,Calogero Bugea,Hani F. Ounsi,Gergely Benyőcs,Prasanna Neelakantan,Eugenio Pedullà +6 more
TL;DR: In this paper , a literature search was conducted on Pubmed and Scopus databases and the studies investigating the tribological behavior of resin composites were included for qualitative synthesis and the majority of studies on dental tribology were published in the research areas of mechanical engineering/nanotechnology and differed in several methodological aspects.
Journal ArticleDOI
Prediction of wear of dental composite materials using machine learning algorithms.
TL;DR: In this article , three machine learning models (MLP, KNN, XGBoost) have been evaluated for predicting the wear of dental composite specimens in a chewable tobacco solution.
References
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Journal ArticleDOI
Properties of a silica-reinforced polymer for dental restorations
TL;DR: The organic binder for this reinforce ment was specially prepared for this study, because the commercially available monomers and comonomers did not appear to be as promising, with respect to polymerization shrinkage, as the comono mer system to be described.
Journal ArticleDOI
Smokeless tobacco and health in India and South Asia
Prakash C. Gupta,Cecily S. Ray +1 more
TL;DR: Tobacco education must be imparted through schools, existing government health programmes and hospital outreach programmes, not only among men but also among children, teenagers, women of reproductive age, medical and dental students and in the South Asian diaspora.
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Mechanical properties and wear behavior of light-cured packable composite resins
TL;DR: It is suggested that fracture and wear behavior of the composite resins are highly influenced by the filler system.
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In vitro wear of composite with varied cure, filler level, and filler treatment
J.R. Condon,Jack L. Ferracane +1 more
TL;DR: In this paper, compositional factors such as degree of cure, filler level, and silanation level were evaluated in an oral wear simulator to evaluate the wear resistance of composite composites.
Journal ArticleDOI
Influence of filler parameters on the mechanical coherence of dental restorative resin composites.
TL;DR: It appears that there is a critical value of the filler particle size (1.3-1.5 microns), under which the food fibres are not able to penetrate in the interparticle space, so theErosive capability of the erosive medium will be reduced.