Influence of initial surface roughness of titanium on shape of periodic surface nanostructures produced with ultrashort pulsed laser

2018 ◽  
Vol 2018.56 (0) ◽  
pp. 1413
Author(s):  
Yuki WADA ◽  
Shono KINOSHITA ◽  
Togo SHINONAGA ◽  
Yasuhiro OKAMOTO ◽  
Akira OKADA
Keyword(s):  
Surface Roughness ◽  
Pulsed Laser ◽  
Initial Surface ◽  
Periodic Surface ◽  
Surface Nanostructures ◽  
Ultrashort Pulsed Laser

Pulsed Laser Micro Polishing: An Analytical Method for Predicting Surface Finish

2011 ◽  
Author(s):  
Madhu Vadali ◽  
Chao Ma ◽  
Neil A. Duffie ◽  
Xiaochun Li ◽  
Frank E. Pfefferkorn
Keyword(s):  
Surface Roughness ◽  
Spatial Frequency ◽  
Critical Frequency ◽  
Pulsed Laser ◽  
Processing Parameters ◽  
Capillary Waves ◽  
Initial Surface ◽  
Stainless Steel 316L ◽  
Average Surface ◽  
Original Surface

This project is focused on developing physics based models to predict the outcome of pulsed laser micro polishing (PLμP). Perry et al. [1–3] have modeled PLμP as oscillations of capillary waves with damping resulting from the forces of surface tension and viscosity. They have proposed a critical spatial frequency, fcr, above which a significant reduction in the amplitude of the spatial Fourier components is expected. The current work extends the concept of critical spatial frequency to the prediction of the spatial frequency content and average surface roughness after polishing, given the features of the original surface, the material properties, and laser parameters used for PLμP. The proposed prediction methodology was tested using PLμP results for Nickel, Ti6Al4V, and stainless steel 316L with initial average surface roughnesses from 70 nm to 190 nm. The predicted average surface roughnesses were within 10% to 15% of the values measured on the polished surfaces. The results show that the critical frequency continues to be a useful predictor of polishing results in the spatial frequency domain. The laser processing parameters, as represented by the critical frequency and the initial surface texture therefore can be used to predict the final surface roughness before actually implementing PLμP.

Surface roughness and wettability of dentin ablated with ultrashort pulsed laser

2015 ◽  
Vol 20 (5) ◽  
pp. 055006
Author(s):  
Jing Liu ◽  
Peijun Lü ◽  
Yuchun Sun ◽  
Yong Wang
Keyword(s):  
Surface Roughness ◽  
Pulsed Laser ◽  
Ultrashort Pulsed Laser

Holographic moving picture recording and observation of ultrashort pulsed laser light propagation

2008 ◽  
Vol 36 (Supplement) ◽  
pp. 201-202
Author(s):  
Yasuhiro Awatsuji ◽  
Kenzo Nishio ◽  
Shogo Ura ◽  
Toshihiro Kubota
Keyword(s):  
Light Propagation ◽  
Laser Light ◽  
Pulsed Laser ◽  
Ultrashort Pulsed Laser

scholarly journals Downscaled Finite Element Modeling of Metal Targets for Surface Roughness Level under Pulsed Laser Irradiation

2021 ◽  
Vol 11 (3) ◽  
pp. 1253
Author(s):  
Evaggelos Kaselouris ◽  
Kyriaki Kosma ◽  
Yannis Orphanos ◽  
Alexandros Skoulakis ◽  
Ioannis Fitilis ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Finite Element ◽  
Surface Acoustic Waves ◽  
Pulsed Laser ◽  
Multiscale Simulation ◽  
Experimental Methodology ◽  
Computational Domain ◽  
Area Of Interest ◽  
Depth Analysis ◽  
Laser Solid Interactions

A three-dimensional, thermal-structural finite element model, originally developed for the study of laser–solid interactions and the generation and propagation of surface acoustic waves in the macroscopic level, was downscaled for the investigation of the surface roughness influence on pulsed laser–solid interactions. The dimensions of the computational domain were reduced to include the laser-heated area of interest. The initially flat surface was progressively downscaled to model the spatial roughness profile characteristics with increasing geometrical accuracy. Since we focused on the plastic and melting regimes, where structural changes occur in the submicrometer scale, the proposed downscaling approach allowed for their accurate positioning. Additionally, the multiscale simulation results were discussed in relation to experimental findings based on white light interferometry. The combination of this multiscale modeling approach with the experimental methodology presented in this study provides a multilevel scientific tool for an in-depth analysis of the influence of heat parameters on the surface roughness of solid materials and can be further extended to various laser–solid interaction applications.

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