Representing surface roughness in eddy resolving simulation

2020 ◽  
Vol 897 ◽  
Author(s):  
Joel Varghese ◽  
Paul A. Durbin
Keyword(s):  
Surface Roughness ◽  
Image Position

Influence of selective laser melting scanning speed parameter on the surface morphology, surface roughness, and micropores for manufactured Ti6Al4V parts

2020 ◽  
Vol 35 (15) ◽  
pp. 2025-2035
Author(s):  
Mohd Faizal Sadali ◽  
Mohamad Zaki Hassan ◽  
Fauzan Ahmad ◽  
Hafizal Yahaya ◽  
Zainudin A Rasid
Keyword(s):  
Surface Roughness ◽  
Surface Morphology ◽  
Selective Laser Melting ◽  
Scanning Speed ◽  
Laser Melting ◽  
Speed Parameter ◽  
Image Position

Abstract

The fatigue failure analysis and fatigue life prediction model of FV520B-I as a function of surface roughness in HCF regime

2017 ◽  
Vol 32 (3) ◽  
pp. 634-643 ◽  
Author(s):  
Jin-long Wang ◽  
Yuan-liang Zhang ◽  
Qing-chen Zhao ◽  
Min Zhang ◽  
Ze-ming Guan ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Fatigue Life ◽  
Prediction Model ◽  
Failure Analysis ◽  
Fatigue Failure ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Image Position ◽  
Life Prediction Model

Abstract

Can fluorine-doped tin Oxide, FTO, be more like indium-doped tin oxide, ITO? Reducing FTO surface roughness by introducing additional SnO2 coating

2018 ◽  
Vol 8 (03) ◽  
pp. 1358-1362 ◽  
Author(s):  
David A. Keller ◽  
Hannah-Noa Barad ◽  
Eli Rosh-Hodesh ◽  
Arie Zaban ◽  
David Cahen
Keyword(s):  
Surface Roughness ◽  
Tin Oxide ◽  
Image Position

Abstract

Simple Identification of Electron Diffraction Ring Patterns

1969 ◽  
Vol 27 ◽  
pp. 160-161
Author(s):  
Carolyn Nohr ◽  
Ann Ayres
Keyword(s):  
Electron Microscope ◽  
Electron Diffraction ◽  
Diffraction Ring ◽  
Image Position

Texts on electron diffraction recommend that the camera constant of the electron microscope be determine d by calibration with a standard crystalline specimen, using the equation

Atomic orientation effects in proton stopping at low velocity

1983 ◽  
Vol 41 ◽  
pp. 708-709
Author(s):  
Kin Lam
Keyword(s):  
Polycrystalline Material ◽  
Charged Particles ◽  
Target Material ◽  
Stopping Power ◽  
Low Velocity ◽  
Electronic Density ◽  
Interatomic Distances ◽  
Frame Work ◽  
Image Position ◽  
Atomic Orientation

The energy of moving ions in solid is dependent on the electronic density as well as the atomic structural properties of the target material. These factors contribute to the observable effects in polycrystalline material using the scanning ion microscope. Here we outline a method to investigate the dependence of low velocity proton stopping on interatomic distances and orientations.The interaction of charged particles with atoms in the frame work of the Fermi gas model was proposed by Lindhard. For a system of atoms, the electronic Lindhard stopping power can be generalized to the formwhere the stopping power function is defined as

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