Project OPUS NCN

Innovative method for computer-aided rapid prototyping of tailor-made internals for Rotating Packed Beds

Even though the topic of rotating packed beds has been popular among researchers, as well as in chemical industry, for several decades, it is still a young and hardly optimized technology. Both the construction and the mode of operation of RPBs cause a lot of difficulties in measuring a variety of operational parameters, such as residence time or effective mass transfer area. Thus, researchers’ ability to create credible predictive models is very difficult, and sparse correlation functions are feasible for very few internal morphologies.

In traditional column processes, the efficiency of mass transfer is dictated mostly by the height of the internal (or number of mass transfer units), where the mass exchange takes place. Due to centrifugal force, in RPBs the mass transfer efficiency is analogously dependent on the radius of the rotor. Unfortunately, tension from centrifugal force also increases with the radius, which severely limits the feasible dimensions of an RPB internal. This implies that alternative paths for intensification need to be explored.

The vast majority of reported rotating packed bed processes use one of two well-researched types of internals: highly porous metal foam (monolithic internal) or wire mesh (coiled internal). Both solutions provide very high porosity while being cheap, but they are very suboptimal in terms of mass transfer, due to small interfacial areas and liquid residence times.

In order to further develop the RPB technology, a project by the name of TAMAR (Tailor-Made Rotating packed beds) was undertaken. The main objective of the project is designing a number of structural internals for RPB units and manufacturing them by 3D printing. The designed internals should be characterized by:

Both the hydrodynamics and the mass transfer efficiency will be investigated with the use of computational fluid dynamics tools such as ANSYS Fluent. The most promising internals will be manufactured by 3D printing and tested experimentally within a real RPB unit. CO2 capture by methyldiethylamine is the absorption process for evaluation. At the same time, experimental data will serve as validation for CFD simulations, which should allow for building a predictive tool to simulate the process in a CFD environment and building necessary correlations for not yet investigated RPB internals