Computational fluid dynamics advantages

The advantages of this type of system are obvious the pore space is of sufficient complexity to represent any natural or technical pore network. As the model objects are based on computer generated clusters, the pore spaces are well defined so that point-by-point data sets describing the pore space are available. Because these data sets are known, they can be fed directly into finite element or finite volume computational fluid dynamics (CFD) programs in order to simulate transport properties [7]. The percolation model objects are taken as a transport paradigm for any pore network of major complexity. 

A comparison of the advantages and disadvantages of computational fluid dynamics reveals that simulation cannot replace experimentation even in the long term (see also Chapter 6). However, effective application of numerical and real experiments will minimize the overall expenditure on process development. 

Many attempts have been made to obtain (semi-)analytical descriptions for non-Newtonian coating flows. These are necessarily approximate and the approximations made to obtain tractable mathematics are sometimes non-physical [58]. These models do not predict the coating behaviour very well from the rheological parameters. The thickness is usually considerably overestimated. It seems more advantageous to simulate non-Newtonian coating flows by computational fluid dynamic methods (see also Ref. [58]). 

The lattice Boltzmann method (LBM) is a relatively new simulation technique for complex fluid systems and has attracted great interests from researchers in computational physics and engineering. Unlike traditional computation fluid dynamics (CFD) methods to numerically solve the conservation equations of macroscopic properties (i.e., mass, momentum, and energy), LBM models the fluid as fictitious particles, and such particles perform consecutive propagation and collision processes over a discrete lattice mesh. Due to its particulate nature and local dynamics, LBM has several advantages over conventional CFD methods, especially in dealing with complex boundaries, incorporation of microscopic interactions, and parallel computation [1, 2]. 

Advantages of a new burner concept were developed for the FlammaTec Flex Burner in the years 2006 and 2007. The Flex Burner utilizes two (2) fully separate gas inlets and gas flows into the burner which would be controlled and measured independently. The burner tip was optimized utilizing computational fluid dynamic modeling to minimize turbulence at the burner tip. The burner nozzle was also designed to be fully adjustable. Hence, the new burner design offered some technological advanti es. 

We begin our discussion of LG computers by considering some of the generic advantages and disadvantages of using LGs to simulate fluid dynamics. Later on ill this section we will provide a brief overview of some of the more popular LG computers that are now in use. 

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