Surface Roughness of Acid-Etched and Demineralized Bovine Enamel Measured by a Laser Speckle Method

1980 ◽  
Vol 14 (5) ◽  
pp. 333-340 ◽  
Author(s):  
R.A.J. Groenhuis ◽  
W.L. Jongebloed ◽  
J.J. ten Bosch
Keyword(s):  
Surface Roughness ◽  
Laser Speckle ◽  
Bovine Enamel

Laser speckle and surface roughness

1980 ◽  
Vol 21 (4) ◽  
pp. 401-412 ◽  
Author(s):  
W. T. Welford
Keyword(s):  
Surface Roughness ◽  
Laser Speckle

Study of the surface roughness in metals with different surface finishing by two-dimensional correlation of laser speckle pattern

2004 ◽  
Author(s):  
Miguel Asmad ◽  
Guillermo Baldwin-Olguin ◽  
C. Maczeyzik ◽  
Fernando Mendoza Santoyo ◽  
Carlos Perez-Lopez
Keyword(s):  
Surface Roughness ◽  
Speckle Pattern ◽  
Laser Speckle ◽  
Surface Finishing ◽  
Two Dimensional

Investigation of Factors Influencing Stain Formation Utilizing an in Situ Model

1995 ◽  
Vol 9 (4) ◽  
pp. 471-476 ◽  
Author(s):  
A. Joiner ◽  
N.M. Jones ◽  
S.J. Raven
Keyword(s):  
Surface Roughness ◽  
Factors Influencing ◽  
Major Variable ◽  
Bovine Enamel ◽  
Adult Volunteers ◽  
Reflectance Measurements

In order to understand the factors of extrinsic stain formation more fully, we have developed an in situ stain model. This consists of polished bovine enamel blocks attached to partial or full dentures worn by adult volunteers for 24 h per day. The dentures were cleaned twice daily with a commercial dentifrice and toothbrush, with care taken to avoid brushing the inserts. A Minolta CR321 Chroma Meter in the L*a*b* mode was used for taking reflectance measurements of the stain formed on the enamel inserts. From these values, changes in the color of the inserts were calculated and the level of stain determined. In general, the stain formed on the enamel inserts was yellow and increased in intensity and darkness with time. The enamel inserts with the largest stain increases were from smokers rather than non-smokers. No correlation was observed between amount of stain and quantity of tea and coffee consumed. When the effects of surface roughness on in situ stain formation were considered, the major variable in this study was found to be the location of the enamel insert in the denture rather than the surface roughness.

Measurement Uncertainty of Microscopic Laser Triangulation on Technical Surfaces

2015 ◽  
Vol 21 (6) ◽  
pp. 1443-1454 ◽  
Author(s):  
Thomas Mueller ◽  
Andreas Poesch ◽  
Eduard Reithmeier
Keyword(s):  
Surface Roughness ◽  
Measurement Uncertainty ◽  
Surface Properties ◽  
Three Dimensional ◽  
Laser Speckle ◽  
Dimensional Structure ◽  
Laser Triangulation ◽  
Surface Measurements ◽  
Microscopic Measurement ◽  
Microscopic Surface

AbstractLaser triangulation is widely used to measure three-dimensional structure of surfaces. The technique is suitable for macroscopic and microscopic surface measurements. In this paper, the measurement uncertainty of laser triangulation is investigated on technical surfaces for microscopic measurement applications. Properties of technical surfaces are, for example, reflectivity, surface roughness, and the presence of scratches and pores. These properties are more influential in the microscopic laser triangulation than in the macroscopic one. In the Introduction section of this paper, the measurement uncertainty of laser triangulation is experimentally investigated for 13 different specimens. The measurements were carried out with and without a laser speckle reducer. In the Materials and Methods section of this paper, the surfaces of the 13 specimens are characterized in order to be able to find correlations between the surface properties and the measurement uncertainty. The last section of this paper describes simulations of the measurement uncertainty, which allow for the calculation of the measurement uncertainty with only one source of uncertainty present. The considerations in this paper allow for the assessment of the measurement uncertainty of laser triangulation on any technical surface when some surface properties, such as roughness, are known.

scholarly journals Different methods for characterizing surface roughness using laser speckle technique

2019 ◽  
Vol 12 (23) ◽  
pp. 21-29
Author(s):  
Mayada B. Al-Quzweny
Keyword(s):  
Surface Roughness ◽  
Speckle Pattern ◽  
Point Of View ◽  
Laser Speckle ◽  
Image Texture ◽  
Object Surface ◽  
Image Texture Analysis ◽  
Measuring Surface ◽  
Wide Range

In this work, results from an optical technique (laser speckle technique) for measuring surface roughness was done by using statistical properties of speckle pattern from the point of view of computer image texture analysis. Four calibration relationships were used to cover wide range of measurement with the same laser speckle technique. The first one is based on intensity contrast of the speckle, the second is based on analysis of speckle binary image,  the third is on size of speckle pattern spot, and the latest one is based on characterization of the energy feature of the gray level co-occurrence matrices for the speckle pattern. By these calibration relationships surface roughness of an object surface can be evaluated within these relations ranges from single speckle pattern image which was taken from the surface.

scholarly journals Análise da eficácia de dentifrícios clareadores e seus efeitos na superfície dental: um estudo in vitro

2021 ◽  
Vol 62 (1) ◽  
pp. 22-32
Author(s):  
Eduardo Monteiro Toschi ◽  
Eliseu Aldrighi Münchow ◽  
Luísa Weber Mercado ◽  
Rafael Melara ◽  
Sandra Liana Henz
Keyword(s):  
Surface Roughness ◽  
Color Change ◽  
Negative Control ◽  
Tooth Whitening ◽  
Over The Counter ◽  
Dental Office ◽  
Color System ◽  
Before And After ◽  
Bovine Enamel

Tooth whitening can be performed at the dental office, at-home or upon the use of OTC (Over-the-Counter) products. Among the latter, there are whitening toothpastes that promise to bleach and to prevent tooth staining. Objectives: (1) to investigate the bleaching and abrasive potential of different whitening dentifrices to enamel; and (2) to evaluate the effect of Oral-B 3D White Perfection® (Oral-B) toothpaste in preventing staining. Materials and Methods: Bovine enamel samples were stained and brushed for 14 days with water (negative control) or with different products: Colgate Total 12® (control), Oral-B, Sensodyne Branqueador Extra Fresh® (Sensodyne), and Colgate Luminous White Advanced® (Colgate). Oral-B was also tested before and after staining. The samples were tested by their color (spectrophotometer) and surface roughness (profilometer). Color change (ΔDE00) was calculated using the CIEDE2000 color system. The data were analyzed using Kruskal-Wallis, SNK, and Mann-Whitney tests (ɑ=5%). Results: The negative control showed the lowest ΔE00 (p

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