Figure 11- - uploaded by James Field
Content may be subject to copyright.
Surfaces displaying different Euler characteristics (Left, high; middle, equal; right, low). Blue represents materials, grey represents voids.
Source publication
Tooth surface loss is an increasingly recognised clinical problem and so there are an increasing number of in vitro studies investigating factors that modify effects at the tooth surface.
A literature review found that erosion and abrasion studies often quantify the amount of tooth loss; this means that conditions used to simulate acidic and abra...
Similar publications
Early detection and prompt intervention by maintenance engineers to mitigate the impact of breakdowns while enhancing overall operational efficiency remain critical challenges. This study proposes an innovative approach aiming at improving the diagnosis of gear faults. The objective is to assess the sensitivity and performance of traditional indica...
Cylindrical grinding process is most versatile surface finishing process and generally used to smooth the external cylindrical surfaces such as shafts, bearings, spindles, pins, gears, etc. by getting rid of a limited amount of material with the action of abrasive grains. In the
present experimental work, Grey-rational method has been used to optim...
Citations
... In addition, modern toothpaste has different abrasivity values due to its complex formulation. 8 Consequently, there is a need to understand their clinical applications vis-à-vis effectiveness and safety concerns, in order to avoid surface damage of the enamel and dentine. 6,11 The knowledge is vital to reduce the negative impact of toothpaste abrasiveness on exposed cementum and dentine surfaces, 12 and reopening of the occlusion of dentine tubules during brushing procedure, 13 resulting in dentine loss. ...
... This is of concern due to the resilient association between the toothpaste abrasiveness, brushing of tooth, occurrence of caries, acute trauma, periodontal disease, and dentine abrasion. 8,15 Therefore, to clean teeth effectually, toothpaste does not have to be exceedingly abrasive. 12 Hence, ideal toothpaste should offer the lowest abrasion intensity to achieve a maximum cleaning of tooth surfaces. ...
Objectives This study aimed to evaluate nanosized eggshell–titanium dioxide (EB@TiO2) abrasiveness in comparison with calcium carbonate and hydrated silica-containing toothpaste.
Material and Methods Thirty-five bovine tooth enamels were prepared, and specimens randomly assigned to a sample group of five (n = 7), namely, Colgate regular, Colgate pro-relief, Sensodyne rapid relief, Sensodyne repair, and EB@TiO2. Half of the enamel surface was brushed with each respective sample group, while the other half was covered with a tap.
Statistical Analysis The mean roughness value (Ra) of the brushed and covered halves were measured using an atomic force microscope (AFM). To assess the surface morphology and changes, a scanning electron microscope (SEM) was performed. Using pair sample test and ANOVA, the Ra for the entire specimens were analyzed. A Bonferroni correction was used to identify the mean differences among the five groups (α=.05).
Results The findings from this analysis show that all the tested toothpaste abraded the enamel significantly (p < 0.05). The abrasive value contained in toothpaste comprising calcium carbonate was lower than the silica toothpaste hydrated.
Conclusion Overall, Colgate regular had the lowest toothpaste abrasivity, followed by EB@TiO2, while Sensodyne rapid relief had the most enamel wear. The prominent feature of this study suggests that EB@TiO2 is suitable for oral use, as its abrasivity is comparable with calcium carbonate-containing toothpaste.
... Most of these contact models assume a normal distribution of asperity heights [11][12][13], which may not represent the enamel roughness [14,15]. In this case, a combination of skewness and kurtosis could be useful to describe the shape of the topographical height distribution and its effect on friction behavior [16]. ...
... The strong correlation between the two amplitude roughness parameters was admitted, given Sa = Sq. The following ranges were tested, based on findings in the literature [20,15,14], for the first two surface texture parameters considered in the analysis: ...
... To study the skewness effect, the generated density functions have a fixed kurtosis value of three, while the skewness is varied from −1 to 1. In the second set, the skewness is fixed at zero, and the kurtosis is varied from 2 to 20, corresponding findings in the literature [20,15,14]. ...
Tooth wear, which manifests with a great variety of degree or level, is one of the dental abnormalities commonly found in diverse populations. The computational modeling of occlusal contact problem can help comprehension of any interaction between teeth generating stress concentration. The approach used to simulate contact between rough surfaces, given the probability density functions, consists in discretizing them into several intervals, so that each one represents a main asperity. The deformations of the main asperities are analyzed and, using homogenization techniques, it is possible to establish the relationship among the responses occurred in micro-scale and the predicted responses in macro-scale. In this work we create parameterized scripts in Python language for the Abaqus CAE software in order to analyze the influence of the surface topography on contact of human dental occlusal surfaces. The texture parameters influence their tribological behavior. As the mean roughness or mean curvature increases, the nature of the contact changes from elastic to plastic and the friction coefficient increases and becomes saturated. For negative skewness, the higher the skewness, the lower the contact area. For positive skewness, the opposite is observed. The higher the kurtosis, greater the area, except for kurtosis less than 3. The surface hardness is not affected by any of the surface texture parameters tested. Further verification using experimental data can encourage dentists to become more familiar with computer simulation.