693.932 PEOPLE
| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Alimadadi, Hossein
Grundfos (Denmark)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2020Dynamic martensitic phase transformation in single-crystal silver microcubescitations
- 2020Mechanical properties and load bearing capability of nanocrystalline nickel-tungsten multilayered coatingscitations
- 2020Fabrication of hollow coaxial Al 2 O 3 /ZnAl 2 O 4 high aspect ratio freestanding nanotubes based on the Kirkendall effectcitations
- 2020Fabrication of hollow coaxial Al2O3/ZnAl2O4 high aspect ratio freestanding nanotubes based on the Kirkendall effectcitations
- 2019On the microstructural-textural characterization and deformation analysis of a nano/ultrafine grained Fe-20Cr-8Mn-0.3N duplex alloy with superior mechanical propertiescitations
- 2018Residual stress in expanded austenite on stainless steel; origin, measurement, and predictioncitations
- 2018Residual stress in expanded austenite on stainless steel; origin, measurement, and predictioncitations
- 2018Optimal microstructural design for high thermal stability of pure FCC metals based on studying effect of twin boundaries character and network of grain boundariescitations
- 2018Optimal microstructural design for high thermal stability of pure FCC metals based on studying effect of twin boundaries character and network of grain boundariescitations
- 2017Mechanical properties of multilayer Ni-Fe and Ni-Fe-Al2O3 nanocomposite coatingcitations
- 2017Comprehensive Deformation Analysis of a Newly Designed Ni-Free Duplex Stainless Steel with Enhanced Plasticity by Optimizing Austenite Stabilitycitations
- 2017Modeling of Ni Diffusion Induced Austenite Formation in Ferritic Stainless Steel Interconnectscitations
- 2017Modeling of Ni Diffusion Induced Austenite Formation in Ferritic Stainless Steel Interconnectscitations
- 2017Electrodeposition mechanism and corrosion behavior of multilayer nanocrystalline nickel-tungsten alloycitations
- 2017Multiscale characterization of White Etching Cracks (WEC) in a 100Cr6 bearing from a thrust bearing test rigcitations
- 2017Mechanical properties of multilayer Ni-Fe and Ni-Fe-Al 2 O 3 nanocomposite coatingcitations
- 2015Electrical Resistance Measurements and Microstructural Characterization of the Anode/Interconnect Contact in Simulated Anode-Side SOFC Conditionscitations
- 2014Grain boundary engineering to enhance thermal stability of electrodeposited nickel
- 2013Grain Boundary Engineering of Electrodeposited Thin Films
- 2012Dislocation density and Burgers vector population in fiber-textured Ni thin films determined by high-resolution X-ray line profile analysiscitations
- 2011Effect of plasma nitriding on electrodeposited Ni–Al composite coatingcitations
- 2009Challenges of sample preparation for cross sectional EBSD analysis of electrodeposited nickel films
Places of action
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article
Dislocation density and Burgers vector population in fiber-textured Ni thin films determined by high-resolution X-ray line profile analysis
Abstract
Nanocrystalline Ni thin films have been produced by direct current electrodeposition with different additives and current density in order to obtain 〈100〉, 〈111〉 and 〈211〉 major fiber textures. The dislocation density, the Burgers vector population and the coherently scattering domain size distribution are determined by high-resolution X-ray diffraction line profile analysis. The substructure parameters are correlated with the strength of the films by using the combined Taylor and Hall-Petch relations. The convolutional multiple whole profile method is used to obtain the substructure parameters in the different coexisting texture components. A strong variation of the dislocation density is observed as a function of the deposition conditions.