(558aq) Coupling Computational Fluid Dynamics and Detailed Process Modeling to Efficiently Design and Improve Processes | AIChE

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(558aq) Coupling Computational Fluid Dynamics and Detailed Process Modeling to Efficiently Design and Improve Processes

Authors 

Eppinger, T. - Presenter, Siemens Industry Software Gmbh
Aglave, R., Siemens PLM Software
Many realworld processes are multi-scale processes, which means that they have important features at different scales in time and/or space. Typically not all features can be resolved, so that for simulations of such processes certain assumptions or simplifications have to be made and so-­called subgrid models are used to capture the effects of one scale onto the other. The benefit of combining different scales was previously shown e.g. for a wet granulation process [1].

In this contribution we show a new automated coupling method between the simulation tools STAR-­CCM+ by Siemens PLM and gPROMS by PSE, where STAR­-CCM+ solves for all flow properties and gPROMS evaluates the fine scales based on the solution provided by STAR-­CCM+. The coupling between both codes is done in an automatic way. This includes the domain decomposition, the calculation and the transfer of all relevant variables.

The details of the coupling are discussed and the benefit of this approach, reducing the runtime by 1-2 orders of magnitude, is demonstrated based on a stirred fermentor in full scale and a spray drying example. The numerical results are compared against experimental results and the effect of different ways of decomposing the domain is discussed as well as how the decomposition affects accuracy and runtime of the simulation.

References:

  1. Barosso, D. et al.: A multi­scale, mechanistic model of a wet granulation process using a novel bi­directionalPBM–DEM coupling algorithm, Eng. Sci. 2015, 123, 500–51

Topics 

Process Design & Development
Computing and Systems Engineering
Reactors

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