Abstract
The computational fluid dynamics (CFD) simulators emerged as an excellent tool to support engineering problem-solving in the past decades. There are limits to the application of a CFD simulator, for example, the validation need of the model, and the computation demand of the simulation. With multiple core computers, the computation time can be lowered, and GPU computing can also be a way to decrease the computation demand. But in some cases, for example in catalyst beds, the number of individual particles is too high to calculate with a CFD simulator. In this study, we show a way to segregate the geometry of the device into smaller parts (decomposition of the geometry) and calculate only the parts of the simulation at a time, instead of whole. In this way, the computation need can be significantly lowered, without losing the crucial information, which can be stored between the geometrical steps. In this article, a framework was developed for the segregation of the geometry. The operation of the framework is shown using different case studies.
Disclosure statement
No potential conflict of interest was reported by the authors.