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    Item type:Research Data, Access status: with files ,
    Dataset for Magnetic Resonance Imaging Investigation of Hydrodynamic Scale-up in Gyroid Triply Periodic Endo-Skeleton Surface Geometries
    This dataset contains experimental data of Magnetic Resonance Imaging Investigation of Hydrodynamic Scale-up in Gyroid Triply Periodic Endo-Skeleton Surface Geometries. The accompanying README file provides detailed descriptions of all included files and explains the research context, methodological information, and the measured variables.
    Data Type: Dataset
      31  33
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    Item type:Research Data, Access status: with files ,
    Data supplement for publication: Lagrangian µ-Particle Tracking Velocimetry Analysis of Microscale Flow over Structured Surfaces
    The TUHH Open Research (TORE) repository contains the raw and processed data underlying the publication "Lagrangian µ-Particle Tracking Velocimetry Analysis of Microscale Flow over Structured Surfaces". The dataset includes experimental particle tracking velocimetry (PTV) data, the design files of the investigated structured surfaces, and the corresponding MATLAB analysis scripts. The study investigates flow over micro- and nanostructured surfaces as a basis for improving (bio)reactor design, with a focus on mass transport near the surface. µ-PTV was used to obtain three-dimensional, time-resolved particle trajectories and velocity fields in a microreactor. The Lagrangian analysis shows that rectangular microgrooves increase particle contact with the wall. In particular, when the microgrooves are oriented perpendicular to the flow. The analysis reveals near-surface phenomena such as particle trapping and localized recirculation that are not captured by averaged Eulerian velocities alone. The dataset is accompanied by a detailed REadMe file and a separate folder structure file, which describe the file organization, the naming conventions used throughout the repository, and how the individual files relate to the results reported in the associated publication.
    Data Type: Experimental Data
      62  81
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    Item type:Research Data, Access status: with files ,
    Data supplement for publication: Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamics
    The TUHH Open Research (TORE) repository contains raw and processed data associated with the publication "Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamics". The dataset comprises experimental magnetic resonance imaging velocimetry data, numerical results from OpenFOAM simulations, and corresponding design files. The publication investigates the flow behaviour in additively manufactured TPMS structures using a large-bore vertical 3 T MRI system. Cross-validation between experimental measurements and numerical simulations is performed. Three different TPMS geometries are analysed within the Darcy-Forchheimer regime. The folder is accompanied by a ReadMe file and a separate folder structure file, which provide detailed information on file organisation, naming conventions, and their relation to the reported results.
    Data Type: Experimental Data ; Data Type: Simulation Data
      73  34
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    Item type:Research Data, Access status: with files ,
    Supplementary material to publication with title: Design Guidelines for Laser Powder Bed Fusion of Triply Periodic Minimal Surface Structures for Applications in Smart Reactors. - Project: SFB1615 - Subproject: C01-Integration of components into adaptive geometries
    This study investigates the design and manufacturability of TPMS structures using 316L stainless steel via PBF-LB/M, focusing on the interaction of key parameters: porosity, unit cell size, and sheet thickness, of which two are independent variables while the third is a dependent variable. Through numerical simulations, experimental validation, and process optimization, practical design guidelines are developed. The design parameters of Gyroid-TPSf and Schwarz-Diamond-TPSf samples include porosities ranging from 70 % to 90 % and unit cell sizes from 2 mm to 20 mm. The results indicate that specifically, at large unit cell sizes (e.g., 20 mm), the decreased curvature radius reduces self-supporting effects, leading to insufficient mechanical stability during printing and resulting in local deformation. Conversely, at small unit cell sizes combined with high porosity levels (e.g., 2 mm and 90 %), the sheet thickness becomes critically thin, often below the printable resolution, resulting in incomplete or fragile structures.
    Data Type: Dataset
      111  33
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    Item type:Research Data, Access status: with files ,
    Data supplement for publication: Wireless and passive pressure detection using magneto-mechanical resonances in process engineering
    The TUHH Open Research (TORE) repository entails the raw files and the result files for the publication "Wireless and passive pressure detection using magneto-mechanical resonances in process engineering". A custom-developed magneto-mechanical resonator (MMR) for wireless pressure measurement is investigated for potential applications in process engineering. The MMR sensor utilises changes in the resonance frequency caused by pressure on a flexible 3D printed membrane. The thickness of the printed membrane plays a crucial role in determining the performance and sensitivity of MMRs, and can be tailored to meet the requirements of specific applications. The study includes static and dynamic measurements to determine the pressure sensitivity and temporal resolution of the sensor. The results show a minimum sensitivity of 0.06 Hz/mbar and are in agreement with theoretical calculations and measurements. The maximum sensor readout frequency is 2 Hz in this study. Additionally, the temperature dependence of the sensor is investigated, revealing a significant dependence of the resonance frequency on temperature. The developed MMR offers a promising and versatile method for precise pressure measurements in process engineering environments.
    Data Type: Experimental Data
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