Surface roughness analysis of multilayer x-ray optics

Author(s):  
Vladimir V. Martynov ◽  
Yuriy Y. Platonov
1998 ◽  
Author(s):  
Keisuke Tamura ◽  
Koujun Yamashita ◽  
Hideyo Kunieda ◽  
Yuzuru Tawara ◽  
Kazutoshi Haga ◽  
...  

2019 ◽  
Vol 28 (1) ◽  
pp. 153-161 ◽  
Author(s):  
Subhasish Sarkar ◽  
Arghya Mukherjee ◽  
Rishav Kumar Baranwal ◽  
Jhumpa De ◽  
Chanchal Biswas ◽  
...  

AbstractThe current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the bath temperature to predict the variation in surface roughness. Analysis of variance (ANOVA) method has been applied to determine the interactions of the substantial factors which dominate the surface roughness of the coating. The process parameters for surface roughness of the coating were optimized by successfully utilizing the statistical model of Box-Behnken Design (BBD) of experiment. From the BBD model, the optimum condition for the deposition of the coating has been evaluated. In that specific condition, the surface roughness of the as-deposited coating is found to be 0.913μm. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), and X-Ray Diffraction (XRD) study have been utilized to characterize the electroless Ni-Co-P coating deposited in optimized condition.


1989 ◽  
Vol 157 ◽  
Author(s):  
I. Kataoka ◽  
T. Yoneiitsu ◽  
K. Sekine ◽  
I. Yaiada ◽  
K. Etoh ◽  
...  

ABSTRACTThe dependence of the ordering factor and surface roughness of aiorphous SiO2 and Ni filis fabricated by Dual Ion Beai Sputtering(DIBS) assisted by Ar+ ion boibardient were evaluated. The ordering factor tas defined as a quantity which shows the degree of aiorphousness froi ris value of correlation function of the RHEED pattern. The surface roughness was leasured with a Talystep systei and STM, and the data was evaluated with respect to the spatial wavelength.For aiorphous SiO2 filis, the surface roughness is strongly correlated with the ordering factor as a parameter of the assisting Ar+ ion energy, and it depends on the fill structure. Siiilar relationship was not observed for Ni filis, because of the traced surface roughness of substrate in the energy region investigated.


2002 ◽  
Vol 51 (9) ◽  
pp. 707-714
Author(s):  
Mikako NAKASHIMA ◽  
Masao KOSAKA ◽  
Hideki MONMA

1993 ◽  
Vol 74 (9) ◽  
pp. 5320-5326 ◽  
Author(s):  
A. H. Ho ◽  
M. A. Piestrup ◽  
R. M. Silzer ◽  
D. M. Skopik

Author(s):  
G.E. Ice

The increasing availability of synchrotron x-ray sources has stimulated the development of advanced hard x-ray (E≥5 keV) microprobes. With new x-ray optics these microprobes can achieve micron and submicron spatial resolutions. The inherent elemental and crystallographic sensitivity of an x-ray microprobe and its inherently nondestructive and penetrating nature will have important applications to materials science. For example, x-ray fluorescent microanalysis of materials can reveal elemental distributions with greater sensitivity than alternative nondestructive probes. In materials, segregation and nonuniform distributions are the rule rather than the exception. Common interfaces to whichsegregation occurs are surfaces, grain and precipitate boundaries, dislocations, and surfaces formed by defects such as vacancy and interstitial configurations. In addition to chemical information, an x-ray diffraction microprobe can reveal the local structure of a material by detecting its phase, crystallographic orientation and strain.Demonstration experiments have already exploited the penetrating nature of an x-ray microprobe and its inherent elemental sensitivity to provide new information about elemental distributions in novel materials.


2015 ◽  
Vol 185 (11) ◽  
pp. 1203-1214 ◽  
Author(s):  
Aleksandr S. Pirozhkov ◽  
Evgenii N. Ragozin

2019 ◽  
Vol 190 (01) ◽  
pp. 74-91
Author(s):  
Nikolai I. Chkhalo ◽  
Ilya V. Malyshev ◽  
Alexey E. Pestov ◽  
Vladimir N. Polkovnikov ◽  
Nikolai N. Salashchenko ◽  
...  
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