Prill, T.T.PrillIliev, O.O.IlievNessler, K.K.NesslerLakdawala, Z.Z.Lakdawala2022-03-132022-03-132016https://publica.fraunhofer.de/handle/publica/393324Fibrous, sponge, granular and other types of filtering media usually have complex microstructures. In all applications, the morphology of the filtering media influences its performance in one way or anothe. This is especially true for surface activated filtering media, and/or for processes where adsorption and/or desorption mechanisms play a critical role. Understanding the flow, transport and reaction/adsorption processes at the pore scale is important for explaining and interpreting the overall performance of such filtering media. In certain cases an effective media approach, which accounts for the filter media/membrane morphology in an average way (e.g., via porosity) can provide useful information. However, increasing the filtration efficiency needs a more detailed knowledge of the impact of the microstructure. Mathematical modelling and computer simulations are useful approaches, supporting researchers and manufacturers in their work on designing better filtering media and on selecting appropriate ones for a particular application. Reactive flows in porous media are an important process in many filtration areas, e.g. BL In water management, including functionalized membranes for water purifications; BL Air treatment, e.g., active carbon air filters; BL Antibacterial barriers for medical purposes; BL Catalytic filters, etc. Understanding these processes and their dependence on chemical and morphological parameters poses a number of research and development challenges. Since, these processes are usually truly multiscale, developing algorithms for simulating them poses problems that have be addressed. An important component of these algorithms is the pore scale simulation on images coming from 3D-mCT. Such simulations can be used either in solving the so called cell problems in the case of homogenization for problems with scale separation, or can be used as fine scale solvers in coupled micro- and macro- scale simulations.enconference paper