The effect of thermal and solutal buoyancy induced by a discrete source of heat and mass transfer in a square duct under the influence of magnetic field, especially at the turbulent regime for the first time is reported. Al2O3/water nanofluid is used with constant heat flux from three discrete heat sources. In the present study, the effects of Reynolds number (100 to 3000), particle volume frac...

Introduction Both particle packing and particle contact parameters play important roles in determining the mechanical behavior of a discrete particle assembly. One common approach to calibrate discrete element models (DEM) of rock is to hold particle packing constant while contact parameters are changed to match observed macroscopic mechanical behavior. This often leads to non-unique material c...

In this study, a hybrid multi-scale model has been developed for a continuous fluid bed wet granulation process by dynamically coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and population balance model (PBM). In this process, the granules are formed by spraying the liquid binder on the fluidized powder bed. The fluid flow field has been solved implementing CFD ...

We consider a discrete-continuum model of biomembrane with embedded particles. While the membrane is represented by continuous surface, particles are described rigid discrete objects which free to move and rotate in lateral direction. For we linearized Canham-Helfrich energy functional height slope boundary conditions imposed on particle boundaries resulting coupled minimization problem for sha...

This paper considers the problem of liquid flow simulated in a tube using a simplified graphics model capable of fast rendering. A liquid model is represented by a set of particles whose position, speed and acceleration are derived from Navier-Stockes equations. The equations are solved by explicit numerical integration in discrete time steps. Finally, each particle used in the model is represe...

We propose a unifying rheological framework for dense suspensions of non-Brownian spheres, predicting the onsets of particle friction and particle inertia as distinct shear thickening mechanisms, while capturing quasistatic and soft particle rheology at high volume fractions and shear rates respectively. Discrete element method simulations that take suitable account of hydrodynamic and particle...

This paper presents a solution for discrete domain representations of 3D geometric models, and techniques for shape instance extraction from a distribution domain. The discrete domain representation captures modality, impreciseness and uncertainty. It facilitates both shape conceptualization and computer processing. We model the elements of the shape by particle clouds, which are generated from...

In this paper we present a new Discrete Particle Swarm Optimization (DPSO) approach to face the NP-hard single machine total weighted tardiness scheduling problem in presence of sequence-dependent setup times. Differently from previous approaches the proposed DPSO uses a discrete model both for particle position and velocity and a coherent sequence metric. We tested the proposed DPSO mainly ove...

This study reports experimental and Computational Fluid Dynamics (CFD) investigations of the laminar convective heat transfer coefficient of Al2O3/water nanofluids in a circular tube under uniform and constant heat flux on the wall. Three different models including a constant physical properties single-phase (CP-SP) model, a variable physical properties single-phase (VP-SP) model and a discrete...

Finding an optimal schedule of tasks for an application in distributed environment is critical in general. Task assignment is an extremely NP complete problem. This type of problem can be resolved by heuristic algorithms efficiently because the traditional methods such as dynamic programming and the back tracking need more time for solving this NP complete problem. Particle Swarm Optimization (...