Combination of mechanical and optical profilometry techniques for concrete surface roughness characterisation

2009 ◽  
Vol 61 (6) ◽  
pp. 389-400 ◽  
Author(s):  
F. Perez ◽  
B. Bissonnette ◽  
L. Courard
Keyword(s):  
Surface Roughness ◽  
Concrete Surface ◽  
Optical Profilometry

scholarly journals Analysis of Surface Roughness and 3D Scanning Topography of Zirconia Implants Before and After Photofunctionalisation by 3D Optical Profilometry- An Invitro Study

2021 ◽  
Author(s):  
Arunjaikumar Ravindran ◽  
Suma Karthigeyan ◽  
Ramesh Bhat ◽  
Madhulika Naidu ◽  
Senthilnathan Natarajan ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Roughness Parameter ◽  
In Vitro Study ◽  
Control Group ◽  
P Value ◽  
Study Group ◽  
Optical Profilometry ◽  
Before And After ◽  
Zirconia Implants

Introduction: Zirconia is considered as an alternative material for the fabrication of implants. Surface roughness of the implant plays a fundamental role in the initial bone formation. The rationale of using 3D optical profilometry in this study was to evaluate the surface roughness of the zirconia implants before and after Ultraviolet (UV) photofunctionalisation. Also, Moreso 3D optical instruments have a better resolution than the mechanical ones like Atomic Force Microscopy (AFM). Aim: To analyse the surface roughness and topography of zirconia implants after photofunctionalisation using optical profilometry. Materials and Methods: This is an in-vitro study conducted over a period of six months from March 2020 to August 2020. Ten commercially machined Zirconia implants, five each in study and control group, were micro analysed at three different regions (abutment, thread and crest) by optical profilometry. Study group was surface treated by UV radiation for 48 hours. Quantitative morphometric analysis was done between two groups and p-value less than 0.05 was considered statistically significant. The statistical test applied in this study was independent t-test. Results: Scanning micrographs of the study group revealed highest density of summits contributing to increased surface area in the study group. Quantitative analysis of surface roughness showed statistically significant higher mean roughness parameter for photofunctionalised implants in abutment, crest and thread region (p<0.05). Conclusion: Photofunctionalisation is a potentially synergistic technique in producing textured zirconia implants.

Determination of Surface Roughness Parameters by Optical Profilometry and Sand Patch Test

2017 ◽  
Vol 259 ◽  
pp. 15-20 ◽  
Author(s):  
Đorđe Čairović ◽  
Martin Zlámal ◽  
Petr Štěpánek ◽  
Tomáš Trčka ◽  
Pavel Škarvada ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Surface Treatment ◽  
Surface Topography ◽  
Patch Test ◽  
Shear Resistance ◽  
Optical Profilometry ◽  
Roughness Parameters ◽  
Sand Patch ◽  
Non Destructive

In cases when two concrete parts are cast against in different times are not connected by dowels, main contributors to the resistance are cohesion and friction. Shear resistance of the interface is highly dependent on surface treatment and its roughness. In this paper, besides the review of available methods of surface roughness determination, the optical profilometry will be introduced and described. Optical profilometry represents non-contact and non-destructive method for characterizing surface topography. Furthermore, results obtained by abovementioned method will be compared with Sand Patch Test, in order to determine its usability and limitations.

scholarly journals Efficacy of one-step and multi-step polishing systems in finishing direct composite restoration: a non-randomised controlled experimental trial

2021 ◽  
Vol 28 (3) ◽  
pp. 29-45
Author(s):  
O. A. Pavlovich ◽  
I. A. Vykhristyuk ◽  
V. Yu. Buzko ◽  
V. V. Pavlovich
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Surface Roughness ◽  
Design And Technology ◽  
Scientific Instrument ◽  
Optical Profilometry ◽  
Average Roughness ◽  
Randomised Controlled ◽  
Diamond Abrasive ◽  
Scanning Electron

Background. The variety of polishing systems and tools available for finishing direct composite restorations may perplex the dentist.Objectives. An effect evaluation in one- and multi-step composite polishing tools using model specimens of GC Gradia Direct and 3M ESPE Filtek Ultimate restoratives.Methods. The prepared specimens of GC Gradia Direct and 3M ESPE Filtek Ultimate restorative composites were exposed in laboratory to the Kenda Maximus, Dentsply PoGo, Kagayaki RoundFlex, Shofu Super-Snap, Kagayaki Ensmart Pin, EVE Composoft polishing systems and Daiyamondo Kagayaki paste. The polishing systems distinguished by brand, technical and performance characters.Surface microgeometry in all 16 samples was estimated in the Laboratory of Optical Metrology, Institute of Design and Technology for Scientific Instrument Engineering, Novosibirsk, using a MNP-1 light interferometric nanoprofile microscope and at the shared core facilities of the Research and Education Centre “Nanomaterial Diagnostics and Properties” of Kuban State University, Krasnodar, using a JEOL JSM-7500F scanning electron microscope.Results. Optical profilometry and scanning electron microscopy were used to estimate surface roughness in 16 specimens exposed to polishing for one minute. The polishing tools Kenda Maximus, Dentsply PoGo, Kagayaki RoundFlex, Shofu Super-Snap, Kagayaki Ensmart Pin, EVE Composoft, as well as Daiyamondo Kagayaki paste used in instrumental polishing, revealed a varied performance. Optical profilometry exhibited the GC Gradia Direct and Filtek Ultimate specimens to possess the lowest average roughness in two cases: 1) after multi-step polishing with Kagayaki Ensmart Pin tools with Daiyamondo Kagayaki paste (average roughness corresponded to Sa — 0.214 pm in GC Gradia Direct and Sa — 0.248 pm — in Filtek Ultimate), 2) in application of the Kenda Maximus monopolishing tool (roughness values of Sa — 0.211 and Sa — 0.242 pm, respectively). Surface roughness after multi-step machining with EVE Composoft silicone polishers was average Sa — 0.579 and Sa — 0.549 pm in both samples and was reported the highest. Scanning electron microscopy confirmed the optical profilometry estimates.Conclusion. The assay showed that the specimen machining with a sole Kenda Maximus diamond abrasive tool and several Kagayaki Ensmart Pin silicone polishing heads followed by a Daiyamondo Kagayaki diamond abrasive paste application produced very similar surface roughness values, which were graded the lowest with GC Gradia Direct and 3M ESPE Filtek Ultimate composite samples using scanning electron microscopy and optical profilometry.

Solution phase driven As2S3 chalcogenide films: Optical and picosecond nonlinear optical properties

2017 ◽  
Vol 26 (03) ◽  
pp. 1750038
Author(s):  
Radhakant Singh ◽  
Prince ◽  
M. Zulfequar ◽  
S. Venugopal Rao ◽  
Prabhat K. Dwivedi
Keyword(s):  
Surface Roughness ◽  
Nonlinear Optical ◽  
Laser Pulses ◽  
Solution Phase ◽  
Optical Profilometry ◽  
Visible Spectroscopy ◽  
Uv Visible ◽  
Scan Data ◽  
Spectroscopy Optical

We demonstrate the fabrication and nonlinear optical (NLO) characterization of chalcogenide glass thin films obtained from the solution phase driven approach. The characterization of the films was ahieved using FESEM, AFM, micro-Raman, FTIR, UV-Visible spectroscopy, optical profilometry and XRD. The NLO studies were performed on the solution driven and thermally deposited As2S3 films with [Formula: see text]2[Formula: see text]ps, 800[Formula: see text]nm laser pulses using the Z-scan technique. The results obtained from AFM measurements demonstrated that the surface roughness of the film was considerably low ([Formula: see text]2[Formula: see text]nm) and Z-scan data indicated that the nonlinear refractive index was in the 1.0–[Formula: see text][Formula: see text]m2/W range.

scholarly journals Characterization of concrete surface roughness and its relation to adhesion in repair systems

2006 ◽  
Vol 56 (4-5) ◽  
pp. 281-289 ◽  
Author(s):  
Andrzej Garbacz ◽  
Luc Courard ◽  
Katarzyna Kostana
Keyword(s):  
Surface Roughness ◽  
Concrete Surface ◽  
Repair Systems

Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras

2020 ◽  
Author(s):  
Alireza Valikhani ◽  
Azadeh Jaberi Jahromi ◽  
Samira Pouyanfar ◽  
Islam M. Mantawy ◽  
Atorod Azizinamini
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Surface Roughness ◽  
Concrete Surface

Scanning Electron Microscopy and Optical Profilometry of Electropolished Additively Manufactured 316 Steel Components

2018 ◽  
Author(s):  
Pawan Tyagi ◽  
Tobias Goulet ◽  
Denikka Brent ◽  
Kate Klein ◽  
Francisco Garcia-Moreno
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Surface Roughness ◽  
Smooth Surface ◽  
High Surface ◽  
Fatigue Loading ◽  
Surface Finishing ◽  
Optical Profilometry ◽  
Premature Failure ◽  
Scanning Electron

Additive manufacturing (AM) can produce highly complex engineering components that are either extremely challenging for the conventional subtractive manufacturing route or not possible otherwise. High surface roughness can make an AM component highly vulnerable to premature failure during fatigue loading. Post-processing aiming to reduce surface roughness is essential to make as produced AM parts functional. We have explored electropolishing route to achieve optimum surface roughness and surface chemistry. We have performed electropolishing treatment on the steel AM parts around 70 °C in an electrolyte comprising the phosphoric acid and sulfuric acid. Profilometry and scanning electron microscopy were performed to study the electropolished and unpolished areas. Optical profilometry study showed that one needs to remove nearly ∼200 μm material from the surface to achieve very smooth surface. Electropolishing was effective in reducing the surface Ra roughness from ∼2 μm rms to ∼0.07 μm rms. Such low rms roughness makes an AM component suitable for almost every engineering application for which a smooth surface is required. Scanning electron microscopy revealed that electropolished area on AM component possessed distinctively different microstructure as compared to the untreated surface of an AM component. We also conducted the compositional analysis of the electropolished area to investigate the possibility of residual contamination from the electropolishing process. Our study revealed that electropolishing is a highly promising route for improving the surface finishing of AM components.

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