LOW-LYING O+ STATES OF 16O IN THE α-PARTICLE MODEL OF LIGHT NUCLEI

1972 ◽  
pp. 940-943
Author(s):  
Y. Avishai
Keyword(s):  
1958 ◽  
Vol 112 (6) ◽  
pp. 2029-2042 ◽  
Author(s):  
J. S. Blair ◽  
E. M. Henley

2005 ◽  
Vol 14 (04) ◽  
pp. 653-661 ◽  
Author(s):  
K. CH. CHATZISAVVAS ◽  
C. P. PANOS

Three measures of the information content of a probability distribution are briefly reviewed. They are applied to fractional occupation probabilities in light nuclei, taking into account short-range correlations. The effect of short-range correlations is to increase the information entropy (or disorder) of nuclei, comparing with the independent particle model. It is also indicated that the information entropy can serve as a sensitive index of order and short-range correlations in nuclei. It is concluded that increasing Z, the information entropy increases, i.e. the disorder of the nucleus increases for all measures of information considered in the present work.


1974 ◽  
Vol 52 (3) ◽  
pp. 890-902 ◽  
Author(s):  
Y. Suzuki

1970 ◽  
Vol 33 (2) ◽  
pp. 143-146 ◽  
Author(s):  
D.M. Brink ◽  
H. Friedrich ◽  
A. Weiguny ◽  
C.W. Wong

TAPPI Journal ◽  
2012 ◽  
Vol 11 (7) ◽  
pp. 9-14 ◽  
Author(s):  
AINO LEPPÄNEN ◽  
ERKKI VÄLIMÄKI ◽  
ANTTI OKSANEN

Under certain conditions, ash in black liquor forms a locally corrosive environment in a kraft recovery boiler. The ash also might cause efficiency losses and even boiler shutdown because of plugging of the flue gas passages. The most troublesome compounds in a fuel such as black liquor are potassium and chlorine because they change the melting behavior of the ash. Fouling and corrosion of the kraft recovery boiler have been researched extensively, but few computational models have been developed to deal with the subject. This report describes a computational fluid dynamics-based method for modeling the reactions between alkali metal compounds and for the formation of fine fume particles in a kraft recovery boiler furnace. The modeling method is developed from ANSYS/FLUENT software and its Fine Particle Model extension. We used the method to examine gaseous alkali metal compound and fine fume particle distributions in a kraft recovery boiler furnace. The effect of temperature and the boiler design on these variables, for example, can be predicted with the model. We also present some preliminary results obtained with the model. When the model is developed further, it can be extended to the superheater area of the kraft recovery boiler. This will give new insight into the variables that increase or decrease fouling and corrosion


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