Computational fluid dynamic (CFD) modeling of full-scale catalytic converters with realistic chemistry has remained elusive primarily due to the extreme computational requirements. In this work, a new low-memory coupled implicit solver, based on the conservative unstructured finite-volume method, was utilized to simulate laboratory-scale catalytic converters with implicit coupling between fluid...

Abstract The aim of this work is to propose a provably convergent finite volume scheme for the so-called Stefan–Maxwell model, which describes evolution composition multi-component mixture and reads as cross-diffusion system. proposed here relies on two-point flux approximation, preserves at discrete level some fundamental theoretical properties continuous models, namely non-negativity solution...

In the field of computer graphics, the problem of generating realistic images of virtual environments has been studied extensively. One important factor determining the realism of such images is how the interaction between light and an environment is simulated. The focus of this thesis is on the real time simulation of diffusely reflecting dynamic objects in static lighting environments. The si...

Two-dimensional Euler equations have been solved on an unstructured grid. An upwind finite volume scheme, based on Roes flux difference splitting method, is used to discretize the equations. Using advancing front method, an initial Delaunay triangulation has been made. The adaptation procedure involves mesh enrichment coarsening in regions of flow with high low gradients of flow properties, acc...

Large-scale parallel computation can be an enabling resource in many areas of engineering and science if the parallel simulation algorithm attains an appreciable fraction of the machine peak performance, and if undue cost in porting the code or in developing the code for the parallel machine is not incurred. The issue of code parallelization is especially significant when considering unstructur...

In this paper a brushless permanent magnet motor is designed considering minimum thrust ripple and maximum thrust density (the ratio of the thrust to permanent magnet volumes). Particle Swarm Optimization (PSO) is used as optimization method. Finite element analysis (FEA) is carried out base on the optimized and conventional geometric dimensions of the motor. The results of the FEA deal to ...