The paper presents a numerical method to simulate singleand multi-component fluid flows around moving/deformable solid boundaries, based on the coupling of Immersed Boundary (IB) and Lattice Boltzmann (LB) methods. The fluid domain is simulated with LB method using the single relaxation time BGK model, in which an interparticle potential model is applied for multi-component fluid flows. The IB-...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

two  simple  protocols  for  the  synthesis  of  1,  2,  4,  5-  tetrasubstitutedimidazoles  using  nano-spa  as  a  reusable,  eco-  friendly,  inexpensive,  and  efficient  catalyst  are  reported.  short   reaction  times,  high  yields,  scale-up  and  easy  workup  are  the   advantages of these protocols.

In this article we analyse a fully discrete approximation to the time dependent viscoelasticity equations allowing for multicomponent fluid flow. The Oldroyd B constitutive equation is used to model the viscoelastic stress. For the discretization, time derivatives are replaced by backward difference quotients, and the non-linear terms are linearized by lagging appropriate factors. The modeling ...

This study reported the multi-component decaying behavior on high-b-value diffusion-weighted MR images. Signal intensity was measured in different regions of the brain. Results showed that gray matter and cerebrospinal fluid exhibited single exponential decaying characteristics while multi-component decaying behavior was observed in some white matter areas with complicated neural fiber orientat...

The use of lattice Boltzmann methods (LBM) for fluid flow and its coupling with finite element method (FEM) structural models for fluid-structure interaction (FSI) is investigated. A body of high performance LBM software that exploits graphic processing unit (GPU) and multiprocessor programming models is developed and validated against a set of twoand three-dimensional benchmark problems. Compu...

We discuss heat conductivity from the point of view of a variational multi-fluid model, treating entropy as a dynamical entity. We demonstrate that a two-fluid model with a massive fluid component and a massless entropy can reproduce a number of key results from extended irreversible thermodynamics. In particular, we show that the entropy entrainment is intimately linked to the thermal relaxati...