scholarly journals Particle-particle interactions in large, sparse arrays of randomly distributed plasmonic metal nanoparticles: a two-particle model

2017 ◽  
Vol 25 (16) ◽  
pp. 19354 ◽  
Author(s):  
Emil H. Eriksen ◽  
Brian Julsgaard ◽  
Søren P. Madsen ◽  
Harish Lakhotiya ◽  
Adnan Nazir ◽  
...  
Keyword(s):  
Metal Nanoparticles ◽  
Particle Model ◽  
Particle Interactions ◽  
Sparse Arrays

High-performance biosensor exploiting a light guidance in sparse arrays of metal nanoparticles

2019 ◽  
Vol 44 (7) ◽  
pp. 1568 ◽  
Author(s):  
Barbora Špačková ◽  
Maria Laura Ermini ◽  
Jiří Homola
Keyword(s):  
Metal Nanoparticles ◽  
High Performance ◽  
Sparse Arrays ◽  
Light Guidance

Modeling fine particles and alkali metal compound behavior in a kraft recovery boiler

TAPPI Journal ◽  
2012 ◽  
Vol 11 (7) ◽  
pp. 9-14 ◽  
Author(s):  
AINO LEPPÄNEN ◽  
ERKKI VÄLIMÄKI ◽  
ANTTI OKSANEN
Keyword(s):  
Alkali Metal ◽  
Computational Models ◽  
Fine Particles ◽  
Black Liquor ◽  
Melting Behavior ◽  
Metal Compound ◽  
Effect Of Temperature ◽  
Particle Model ◽  
Boiler Furnace ◽  
Recovery Boiler

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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