scholarly journals Soft particle model for block copolymers

2007 ◽  
Vol 127 (13) ◽  
pp. 134905 ◽  
Author(s):  
F. Eurich ◽  
A. Karatchentsev ◽  
J. Baschnagel ◽  
W. Dieterich ◽  
P. Maass
2007 ◽  
Vol 20-21 ◽  
pp. 341-344
Author(s):  
M.N. Chandraprabha ◽  
Jayant M. Modak ◽  
K.A. Natarajan

Applicability of Ohshima’s soft-particle model to evaluate the surface potential of Acidithiobacillus ferrooxidans cells is discussed here. The electrokinetic properties were examined by electrophoretic mobility measurements and analyzed using the soft particle electrophoresis theory. As the ionic concentration increased, the mobility of the bacterial cells converged to nonzero values suggesting that the particles exhibited typical soft-particle characteristics. Also, cell surface potentials based on soft-particle theory were lower than those estimated using the conventional Smoluchowski theory. Effect of removal of LPS from the cell surface on surface softness and charge density are investigated and discussed.


Author(s):  
Anurag Kumar ◽  
Yutaka Asako ◽  
Mohammad Faghri

Dissipative particle dynamics (DPD) is a mesoscopic particle-based simulation method, where each particle represents a group or packet of actual molecules of the flow field. Despite its usefulness, a fundamental problem of the DPD is that there is no straightforward procedure to relate the soft-particle model to a realistic continuum or molecular model. In the present work, we studied the dynamics of a simple fluid flow in a microchannel based on the coarse-graining of the molecules and expressed DPD units in terms of real units. To compare DPD methodology with continuum theory, a relation between the viscosity of the fluid and dissipative coefficient of DPD was established. DPD equations and parameters were expressed in non-dimensional forms and related to the known hydrodynamic parameters such as Reynolds number and Peclet number. Poiseuille flow of water in microchannel of height 35 μm was modeled for different parameters. Coarse-graining for water was ranged from 5×109 to 5×1010 for each DPD particle. Re and Pe of the flow were varied from 0.7 to 60 and 5 to 140, respectively. Simulated results were compared to the continuum results with a good agreement.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Yuto Tamura ◽  
Marie Tani ◽  
Rei Kurita

AbstractComposite materials have been actively developed in recent years because they are highly functional such as lightweight, high yield strength, and superior load response. In spite of importance of the composite materials, mechanisms of the mechanical responses of composites have been unrevealed. Here, in order to understand the mechanical responses of composites, we investigated the origin and nature of the force distribution in heterogeneous materials using a soft particle model. We arranged particles with different softness in a lamellar structure and then we applied homogeneous pressure to the top surface of the system. It is found that the density in each region differently changes and then the density difference induces a nonlinear force distribution. In addition, it is found that the attractive interaction suppresses the density difference and then the force distribution is close to the theoretical prediction. Those findings may lead material designs for functional composite materials.


1982 ◽  
Vol 90 (1) ◽  
pp. 289-292 ◽  
Author(s):  
J.A de Feijter ◽  
J Benjamins
Keyword(s):  

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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