Effects of Secondary Phase Particle Dissolution on the In-Reactor Performance of BWR Cladding

2011 ◽  
pp. 729-753 ◽  
Author(s):  
S. Valizadeh ◽  
G. Ledergerber ◽  
S. Abolhassani ◽  
D. Jädernäs ◽  
M. Dahlbäck ◽  
...  
Keyword(s):  
Phase Particle ◽  
Secondary Phase ◽  
Reactor Performance ◽  
Secondary Phase Particle ◽  
Particle Dissolution

Effects of Secondary Phase Particle Dissolution on the In-Reactor Performance of BWR Cladding

2011 ◽  
Vol 8 (2) ◽  
pp. 103025 ◽  
Author(s):  
S. Valizadeh ◽  
G. Ledergerber ◽  
S. Abolhassan ◽  
D. Jädernäs ◽  
M. Dahlbäck ◽  
...  
Keyword(s):  
Phase Particle ◽  
Secondary Phase ◽  
Reactor Performance ◽  
Secondary Phase Particle ◽  
Particle Dissolution

Effects of Secondary Phase Particle Dissolution on the In-Reactor Performance of BWR Cladding

2011 ◽  
pp. 729-753 ◽  
Author(s):  
S. Valizadeh ◽  
G. Ledergerber ◽  
S. Abolhassani ◽  
D. Jädernäs ◽  
M. Dahlbäck ◽  
...  
Keyword(s):  
Phase Particle ◽  
Secondary Phase ◽  
Reactor Performance ◽  
Secondary Phase Particle ◽  
Particle Dissolution

scholarly journals Influence of Cooling Rate on Microsegregation Behavior of Magnesium Alloys

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Md. Imran Khan ◽  
Ahmad O. Mostafa ◽  
Mohammad Aljarrah ◽  
Elhachmi Essadiqi ◽  
Mamoun Medraj
Keyword(s):  
Particle Size ◽  
Cooling Rate ◽  
Magnesium Alloys ◽  
Phase Particle ◽  
Secondary Phase ◽  
Composition Analysis ◽  
Minimum Concentration ◽  
Secondary Phase Particle ◽  
Electron Microscopes ◽  
Area Percentage

The effect of cooling rate on microstructure and microsegregation of three commercially important magnesium alloys was investigated using Wedge (V-shaped) castings of AZ91D, AM60B, and AE44 alloys. Thermocouples were distributed to measure the cooling rate at six different locations of the wedge casts. Solute redistribution profiles were drawn based on the chemical composition analysis obtained by EDS/WDS analysis. Microstructural and morphological features such as dendrite arm spacing and secondary phase particle size were analyzed using both optical and scanning electron microscopes. Dendritic arm spacing and secondary phase particle size showed an increasing trend with decreasing cooling rate for the three alloys. Area percentage of secondary phase particles decreased with decreasing cooling rate for AE44 alloy. The trend was different for AZ91D and AM60B alloys, for both alloys, area percentage of β-Mg17Al12 increased with decreasing cooling rate up to location 4 and then decreased slightly. The tendency for microsegregation was more severe at slower cooling rates, possibly due to prolonged back diffusion. At slower cooling rate, the minimum concentration of aluminum at the dendritic core was lower compared to faster cooled locations. The segregation deviation parameter and the partition coefficient were calculated from the experimentally obtained data.

The Hayashi-nishi Method for Measurement of Mixing:Computer-Generated Morphologies and Impact-Modified Polymers

1998 ◽  
Vol 4 (S2) ◽  
pp. 830-831
Author(s):  
M. R. Tant ◽  
D. B. Calvert ◽  
P. S. Wehner
Keyword(s):  
Phase Particle ◽  
Secondary Phase ◽  
The State ◽  
Polymeric Matrix ◽  
Core Shell ◽  
Secondary Phase Particle ◽  
Modified Polymers ◽  
Impact Modifier ◽  
Image Position ◽  
The Impact

In this work we apply the Hayashi-Nishi method for quantitatively analyzing the state of mixing of a secondary component in a polymeric matrix. We (1) evaluate the method using computer-generated morphologies and (2) compare the state of mixing of a core-shell impact modifier in polymers having differing affinity for the impact modifier. In the Hayashi-Nishi method two numbers, related to dispersion and distribution, are required to quantify the state of mixing of a secondary phase in a polymeric matrix. The 5-parameter in the Hayashi-Nishi method is defined asThe Ai's are the areas of each individual secondary phase particle or aggregate and nis the number of such particles in the image. S is related to the size distribution of these aggregate areas and is a measure of dispersion of the secondary phase in that particular image.

Stacking faults in Zr(Fe, Cr)2 Laves structured secondary phase particle in Zircaloy-4 alloy

Nanoscale ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 2249-2254 ◽  
Author(s):  
Chengze Liu ◽  
Geping Li ◽  
Fusen Yuan ◽  
Fuzhou Han ◽  
Yingdong Zhang ◽  
...  
Keyword(s):  
Formation Mechanism ◽  
Phase Particle ◽  
Stacking Faults ◽  
Secondary Phase ◽  
Secondary Phase Particle

Understanding the formation mechanism of stacking faults in secondary phase particles.

The Development of Processing to Mechanical Property Relationships via Quantitative Microstructure Assessment in Low Alloy Steel Heavy Section Forging Materials

2011 ◽  
Author(s):  
Daniel J. Cogswell
Keyword(s):  
Mechanical Properties ◽  
Mechanical Property ◽  
Alloy Steel ◽  
Phase Particle ◽  
Secondary Phase ◽  
Visual Assessment ◽  
Numerical Comparison ◽  
Low Alloy Steel ◽  
Heavy Section ◽  
Average Grain Size

This paper provides details of an ongoing effort to characterise the microstructure of heavy section low alloy steel forgings used in high integrity applications and correlate these data to the mechanical properties of these materials. Current industry practice is to use chemical etching and visual assessment in acceptance standards to determine nominal averages for microstructure parameters. This work uses electron microscope techniques to provide information on a variety of grain and secondary-phase particle information allowing numerical comparison of key microstructure variables to mechanical properties. For instance, the transition toughness behaviour of low alloys steels is controlled by the combination of the largest grain and particle in the material, i.e. the most potent initiator for cleavage failure. Knowledge of only the average grain size is insufficient to correlate microstructure and transition toughness performance. The programme consists of three main stages: modelling key variables in the manufacturing process to predict microstructure from thermodynamic predictions, developing quantitative microstructure data on archive materials for which mechanical property data are known to allow empirical relationships to be constructed and, a final validation exercise of a complete model by production and assessment of trial forgings.

Sign in / Sign up

Export Citation Format

Share Document