2019
DOI: 10.1038/s41598-019-51545-7
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New Method for Evaluating Surface Roughness Parameters Acquired by Laser Scanning

Abstract: Quality evaluation of a material’s surface is performed through roughness analysis of surface samples. Several techniques have been presented to achieve this goal, including geometrical analysis and surface roughness analysis. Geometric analysis allows a visual and subjective evaluation of roughness (a qualitative assessment), whereas computation of the roughness parameters is a quantitative assessment and allows a standardized analysis of the surfaces. In civil engineering, the process is performed with mecha… Show more

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Cited by 49 publications
(46 citation statements)
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“…Thus, the findings of the current study are applied to 3Y-TZP IPS e.max ZirCAD. Rp and Rv are the surface roughness parameters, representing the maximum peak height and maximum valley depth, respectively [ 35 ]. Rp value of the FGC group was significantly higher than its corresponding in control and CoJet groups.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the findings of the current study are applied to 3Y-TZP IPS e.max ZirCAD. Rp and Rv are the surface roughness parameters, representing the maximum peak height and maximum valley depth, respectively [ 35 ]. Rp value of the FGC group was significantly higher than its corresponding in control and CoJet groups.…”
Section: Discussionmentioning
confidence: 99%
“…The main roughness parameter was the average roughness (Ra). This parameter evaluates the average standard deviation of the heights (peaks and valleys) in a scanned profile to compute the degree of roughness [56,57].…”
Section: Printing Resolution Effectmentioning
confidence: 99%
“…Figure S2 shows SEM and topographical images of the PCL–gelatin system, together with measured roughness parameters ( S a , S q , and S z / S a ratio). S a expresses the difference in the height between each peak and the arithmetical mean of the surface, 31 presenting a value of 0.6 μm. Together with S a , S q was included as the root-mean-square value of surface topography (0.8 μm).…”
Section: Resultsmentioning
confidence: 99%