Why Computational Fluid Dynamics

Numerical methods are a working tool which we encounter almost daily in the fields of engineering and science. The complexity of numerical methods ranges from simple spreadsheets to the solution of complex, non-linear differential equation systems that occur in flow dynamics. The aim of computational fluid dynamics, or CFD, is to obtain a deeper understanding of the flow processes that take place within the extruder and to combine the findings with experiments to produce reliable and economic extruder designs. 

Correctly applied, computational fluid dynamics offer a range of benefits  

In experiments, the measurement result is frequently obtained with an overlapping of different individual effects which cannot be entirely separated from one another. The complexity of a computational model, however, can be increased incrementally to enable the identification of process values decisive for product quality. 

Along with the above benefits, the disadvantages of computational fluid dynamics also require mention and must be taken into account  

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. 

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