7 Reasons why simulation is useful
Computational fluid dynamics (CFD) is the discipline of science devoted to predicting fluid flow, heat transfer, mass transfer, chemical reactions, and related phenomena by solving the mathematical models that govern these processes using a numerical process. CFD is becoming an increasingly important design tool in engineering and also a substantial research tool in certain physical sciences. Due to the advances in numerical solution methods and computer technology, geometrically complex cases can be treated.
Glass temperature distribution including velocity vectors for the spout lip area within the glass floating process. In this area the glass flows from the spout lip onto the molten liquid tin.
By using these new techniques, designers can verify that their products will comply with customer’s specifications early in the design cycle. So, the product development process will be accelerated and the costs will be reduced by avoiding production trials. CFD can be used to compute material properties, heat transfer rates and chemical reactions during the process and for the final product. Those advantages are very important and have helped engineers to obtain insight in problems where analytical solutions are impossible and/or experimental measurements are too difficult or too expensive to obtain. For complex temperature problems (especially those involving thermal radiation) or simulation of systems with chemical reactions, very often CFD is really the only option because physical models are running usually at room temperature and for experiments in a productional environment the measurement of the temperature or species concentration is often very difficult and can contain very large inaccuracies. CFD models are run at the correct temperature always without parasitic drags, and take into account changes in density, viscosity, thermal conductivity, and the heat transfer coefficient.
7 reasons why simulation is useful:
Development Time Reduction
Results at any Point and Time
Only CFD can look into
Fast Forecast and Prototyping
CFD modeling is almost always faster than physical modeling or performing production trials. In many cases, design results from a CFD model are available several weeks or months before similar results from experiment. And the more complicated or repetitive the model geometry is, the more advantage the CFD model has. Once a CFD model is built, it can be run simultaneously on separate computers. Thus, several designs can be evaluated at the same time, while only one real design exists for evaluation. CFD model studies are generally 30-70% less than a comparable experimental effort, especially if a CFD model is already existing. This is tied quite strongly to the product and the production process that influences the schedule. Also, many CFD tasks can be automated with the computer, including the design optimization process, whereas experiments or real design changes are mostly done manually.