Financing: Hamburg Authority for Science, Research, and Equal Treatment (BWFG)
Duration: 05/17 - 04/21
Dr. Torsten Brinkmann, Dr. Sergey Shishatskiy, HZG, Institute of Polymer Research;
Prof. Bodo Fiedler, Institute of Polymer and Composites (KVWEB);
Prof. Georg Fieg, Dr. Thomas Waluga, Insitute of Process and Plantengineering (IPAT);
Prof. Michael Fröba, UHH, Institute for Inorganic and Applied Chemistry;
Prof. Stefan Heinrich, Institute of Solids Process Engineering and Particle Technology (SPE);
Prof. Raimund Horn, Institute of Chemical Reaction Engineering (ICRT);
Prof. Andreas Liese, Institute of Technical Biocatalysis (ITB);
Prof. Gerrit Luinstra, UHH, Institute for Technical and Macromolecular Chemistry
Prof. Christian Schroer, DESY Photon Science;
Prof. Irina Smirnova, Dr. Sven Jakobtorweihen Institute of Thermal Separation Processes (TVT);
Prof. Hoc Khiem Trieu, Institute of Microsystem Technology (MST);
Prof. An-Ping Zeng, Institute of Bioprocess and Biosystems Engineering (IBB);
In this project, a research network is to be promoted, which bundles the competences of the various departments based in the Hamburg Metropolitan Region. The technologies range from biochemical reactors via micro, membrane, profile, cascade and fluidized bed reactors to 3D printed reactors made of functional materials. The aim of this research project is the knowledge-based development, characterization and application of new reactor technologies in complex multiphase systems by modern in situ spectroscopy and imaging techniques, as well as mathematical modeling. Specific applications include the epoxidation of propylene to propylene oxide, chemo-enzymatic reactions, electro-biochemical fermentation of glycerol and the conversion of biomass. The resulting scientific collaborations culminate in the preparation of a CRC (SFB) application.
Subproject DT04 is about the design, characterization and optimization of 3D printed periodic open-cell structures (POCS). One major property of the POCS is that these structures serve to tailor residence time distributions, catalytic reaction surfaces, and exchange processes of multiphase flows close to the boundary layer to the process. In addition, POCS increase the mass transport and thus the selectivity and yield. The most up-to-date additive manufacturing technologies, such as rapid prototyping, can be used to produce the POCS. Moreover, high-resolution imaging techniques, such as laser-induced fluorescence (LIF) or particle image velocimetry (PIV), enable the study of the interaction of boundary-layer dynamics and the reaction in the millisecond range. Furthermore, numerical simulations are performed to support the experiments and to optimize various reactor configurations.
The structures thus developed are used in various collaborations: for example, as a catalyst support and for the definition of the residence time in the profile reactor of propylene epoxidation (Prof. Horn) in cooperation with selective membrane technology (HZG) or as a carrier of immobilized enzymes in the biochemical process (Prof. Liese) or even to support electro-biochemical synthesis (Prof. Zeng). Knowhow in the selection and evaluation of materials (Prof. Fiedler) as well as the expertise in 3D printing (Prof. Luinstra / UHH) are essential.
|Title: Reactive liquid flow simulation of micromixers based on grid deformation techniques..|
|Written by: Mierka, O.; Munir, M.; Spille, C.; Timmermann, J.; Schlüter, M.; Turek, S.|
|in: <em>Chemical Engineering & Technology</em>. (2017).|
|Volume: <strong>40</strong>. Number:|
|on pages: 1408-1417|
Abstract: Process intensification of engineering applications in the framework of reacting flows in micromixer devices attracts the attention of engineers and scientists from various fields. With the steadily increasing available computational resources, the traditional experimentally supported investigations may be extended by computational ones. For this purpose, a simulation framework based on state?of?the?art numerical techniques extended with special grid deformation techniques has been developed. Its validation in terms of comparison with computational and experimental results in reacting as well as in non?reacting frameworks has been performed on the basis of the T?mixer and SuperFocus mixer, respectively. The computational efficiency of the developed tool is shown to be applicable for optimization tasks, such as reverse engineering purposes.