This dataset highlights a specialized application of automation and optimization of infill structures using the Synera platform. By developing a Synera code to automatically apply infill structures to any model, the design process becomes significantly more efficient, allowing engineers to expedite the transition from concept to production. The practical relevance of this technology is demonstrated in its application to injection molds for bipolar plates within the Metal Injection Molding (MIM) process. Bipolar plates are critical components in fuel cells that require precisely manufactured parts to ensure structural integrity and optimal material usage. Furthermore, the use of Material Extrusion of Metals (MEX/M) processes emphasizes the interdisciplinary integration of additive and traditional manufacturing technologies. Insights from automated infill generation can thus be directly applied to the physical production of prototypes or end-use parts, showcasing the potential of Synera in design automation and the synergy between digital design and conventional manufacturing methods.

Experimental data corresponding to the manuscript "Chemical Interface Damping by Electrochemical Gold Oxidation". The dataset contains ellipsometric measurements and fits together with electrochemical potential and current curves that indicate the chemical itnerface damping effect originating from electrochemical oxidation of gold samples.

This artefact provides data and a detailed description of a wave flume experiment with and without an artifical Gaussian-shaped bathymetry. Provided a wave height measurements at four sensor points over time. Included in this data set are (1) the data itself in TXT format, (2) a video showing the waves in the flume in MP4 format and (3) a description of the experimental setup in PDF format.

Understanding how various ice shapes affect loads experienced by a ship hull or structure is crucial. Therefore, ice-structure interaction with a focus on the shape of the impacting ice was investigated. In the study drop tower experiments were conducted at the Institute of Ship Structural Design and Analysis of the Hamburg University of Technology to investigate ice impacts on a small scale. Ice specimens with diverse shapes (cylinder, cone, dome, wedge, ellipse, and other variations) were subjected to single impacts against a steel plate. Analysis revealed two main failure modes based on ice geometry, showcasing significant differences in load magnitude. Correlations between contact area, cone angle, specimen length to peak force, pressure, and energy were observed. The experimental setup, test matrix including the dimensions of the tested ice shapes and the data analysis are soon to be published. The experimental data are provided here. The data include the summed up force signal of the load cells and the displacement signal of the drop hammer. The data have been cropped to focus on the relevant portion around the impact load peak. Each file contains a single test run encompassing the time signal in seconds, force signal in kilo Newtons, and displacement signal in millimeters.

The datasets included in this work focus on the study of the imbibition dynamics of water in nanoporous Vycor glass. Specifically, this refers to the filling dynamics of water, driven by capillary forces, into a hydrophilic nanoporous Vycor glass sample (porous silica glass). The samples (2) used in these experiments are cylindrical monoliths. Both are identical (mean pore size , porosity), differing only in length. The experiments were designed to study capillary rise dynamics. Since Vycor glass is translucent, this can be directly observed by tracking the filling front via changes in the transparency of the samples (optical experiments). It can also be indirectly monitored by measuring properties of the sample that change proportionally to the filling front length. For this, we performed mass uptake experiments, measuring the changes in the mass of the sample during filling. We also used a high-precision dilatometer to measure changes in the length of the sample (strain) during imbibition (dilatometry).

This dataset is supplementary material to the dissertation titled: "Development of an Aerated High-Pressure Reactor for Biotechnological Applications". It includes the raw data from this study, the processed data, the corresponding MATLAB scripts, and the figures presented in the dissertation. Abstract: A key element in the development of sustainable chemical products is the biotechnologization of chemical synthesis processes. One approach to intensifying biotechnological processes to make them competitive with established synthesis methods involves utilizing the process parameter of pressure. This is particularly of interest for enzymatically catalyzed oxidation reactions, which often face limitations due to low oxygen solubility, resulting in mass transport limitations. This work presents and characterizes an aerated high-pressure batch reactor designed for the investigation of enzymatic systems at laboratory scale up to a pressure of 15.0 MPa. The characterisation is divided into three parts: Firstly, the use of optical sensors for online measurement of dissolved oxygen concentration under pressure is considered. Showing that the optical sensors used can reliably measure an oxygen concentration of up to 227 mg l−1 even under significant pressure fluctuations. The second section deals with the characterisation of mass transfer in the used high-pressure bubble column. Through optical access to the bubble column, the bubble size distribution is measured, and essential factors for mass transport, such as gas hold-up and interfacial area for mass transfer, are determined, highlighting in particular the influence of pressure on bubble diameter. The volumetric mass transfer coefficient is also determined using optical sensors. In the context of validation experiments, the results of the preceding sections are combined, and the functionality of the setup with immobilized glucose oxidase is demonstrated. It is shown that the reaction can be monitored using optical sensors and that process intensification can be achieved through increased oxygen availability. It also becomes evident that the mass transport performance of the used bubble column is not sufficient to circumvent mass transport limitation. Based on these results, a scaled-up reactor concept of 2 liters is finally presented, based on a compact and high-performance jet loop reactor.

The dataset presented here belong to an electrochemical impedance spectroscopy (EIS) study of mesoporous silicon in aqueous electrolyte solution (perchloric acid). The dataset contains EIS measurements performed at various static applied potentials so that a Mott-Schottky analysis of the electrode can be performed. Moreover, the dataset has an EIS study on a bulk silicon electrode, synthesized under equal conditions as the porous silicon electrode, so that a direect comparison between the two electrode types is possible.

Appendix containing experimental data

The data set was collected within the context of the research project ELMOD - “Simulation and analysis of the hydrological and morphological development of the Tidal Elbe for the period from 2013 to 2018”. In total, 34 erosion experiments have been conducted with homogenized cohesive sediment samples collected at two sites in the Port of Hamburg. The samples have been diluted to specific densities between 1050 - 1250 kg/m³ for the experiments. During the erosion experiments, a maximum of 13 loadsteps with a duration of 15 minutes each and bed shear stresses between 0.03 - 0.40 N/m² has been applied. The experimental procedure and the utilized erosion device (C-GEMS) are describe in detail in Witt et al, 2024 (https://doi.org/10.3389/fmars.2024.1386081). The data set consists of: 1. The (raw) experimental data collected in 34 erosion experiments with cohesive sediment samples from two locations in the Port of Hamburg (Norderelbe (NE) and Suederelbe (SE), see Witt et al, 2024). 2. The erosion thresholds (TauC) derived from the experimental data, following the methodology presented in Witt et al, 2024 (SSC-method). 3. The Python-Code used to derive the erosion thresholds from the raw data. 4. The grain size distribution (GSD) of the sediment samples from location NE and SE. 5. Visualizations of i) exemplary evolutions of the suspended sediment concentration (SSC) and erosion rates (ER) measured in selected experiments and ii) the derived erosion thresholds vs. the bulk density of the sediment samples for all experiments. Additional information: To 1: The files Experiments_raw_(NE).csv and Experiments_raw_(SE).csv contain the raw SSC-data of the experiments. During the experiments with the C-GEMS, the SSC was recorded in a frequency of 0.2 Hz by a Hach Solitax sc probe. The background SSC (measured before the start of each experiment) has already been substracted from the values included in the files, thus the values describe the increase in SSC in relation to the beginning of the experiments. Column "Time [s]" is the experimental duration, "Tau [N/m²]" is the nominal applied bed shear stress (*,more information below) and e.g. column "NE1-2_3-1100" contains the SSC-data (in mg/l) for one experiment with sediment from site NE and a homogeneous density of 1100 kg/m³. The term NE1-2_3 describes the exact sediment sample used for all experiments from site NE (the same applies for SE accordingly). The number in brackets following the described nomenclature, describes the number of the repetition experiment. For sediments from site SE densities from 1050 kg/m³ to 1200 kg/m³ and for sediments from site NE densities from 1100 kg/m³ to 1250 kg/m³ have been tested. The intervall between the tested desities was 25 kg/m³ each. For each tested density at least two repetitions have been conducted. For single experiments with sediment from site NE more repetitions have been carried out (up to 7). The water used for the experiments was site specific water collected in the Elbe. More information in Witt et al, 2024. *Two setups of the C-GEMS were used. For setup 2 the nominal applied bed shear stress has to be multiplied by the factor of 1.22. This applies to all experiments with repitition number "(2)" and additionally experiments NE1-2_3-1150 (4) and NE1-2_3-1150 (6). The relationship described above has already been taken into account in the further analyses and provided python-code. To 2: The files TauC_(NE).csv and TauC_(SE).csv contain the erosion threshold for each experiment derived by applying the SSC-method presented in Witt et al, 2024. Column "Density [kg/m³]" describes the density of the tested sample, column "TauC [N/m²]" the derived erosion threshold and "R^2" the coefficient of determination derived from the log-log regression of loadstep averaged SSC (see Witt et al, 2024). To 3: The files Calculation_TauC_SSC_(NE).py and Calculation_TauC_SSC_(SE).py contain the python-code, which was used for post-processing of the raw-data and calculation of the erosion thresholds. Python version 3.12.3 was used. The files need to be executed in the same folder as the respective raw-data file (or the path has to be adjusted in the code accordingly). If needed (e.g. for visualization), also files with moving-averages (60s) of the measured SSC and ER or load-step averaged values for SSC and ER can be written to separate files. To do so, the resp. lines in the code need to be un-commented. To 4: Files GSD_NE.txt and GSD_SE.txt contain information on the grain size distribution of the sediment samples from sites NE and SE. The GSD were derived by a combined hydrometer and sieve analysis. To 5: File Examples_SSC_ER_evolutions_(SE+NE).jpeg gives an impression of the results of the erosion experiments in terms of the SSC and ER evolutions for selected experiments with samples from both NE and SE site. File Visualization_Erosion_Threshold_(SE+NE).png visualizes the derived erosion thresholds for experiments with samples from both sites.

The dataset contains the experimental data analyzed in the creators' article titled "Bilateral communication in procurement auctions".

This extensive dataset contains the results of 175 triaxial tests on dense cemented sand samples with measurements of a height of 72 mm and a diameter of 36 mm. The sands used include Hamburg Sand (HH), known for its coarser grain size, and Cuxhaven Sand (CX), which has a finer grain size as also shown in Figure 2. The cement paste consists of Dyckerhoff MIKRODUR R-U Mikrozement and water. The tests were conducted to analyze the mechanical properties of cemented Hamburg sand and cemented Cuxhaven sand under various conditions, specifically focusing on the effects of confining pressure and cementation degree, as shown in Table 1. The sample preparation involved layering and compacting the sand-cement-water mixture in Plexiglas molds, followed by a curing process with initial sealing and subsequent water immersion for 28 days.

The buckling failure of cylindrical CFRP shells in combined load cases is only considered in very few experimental studies, despite combined loading occurring frequently in both aerospace and civil applications. Hence, validation and verification of numerical models for these scenarios is challenging. In order to support the validation of FE models and possibly enable the development of new design approaches, the thoroughly documented results of a large number of buckling tests with CFRP shells in multiaxial loading are provided herein. The extensive experimental campaigns on the buckling of cylindrical CFRP shells in multiaxial load cases were conducted on a set of nominally identical specimens. These shells were manufactured at the Institute of Composite Structures and Adaptive Systems of DLR in Braunschweig and have been tested in a previous campaign in pure axial compression. In this study, various combined load cases comprised of axial compression and bending, axial compression and torsion, as well as combinations of all three buckling inducing load types were investigated. This publication contains a separate sheet for each considered shell, listing for all individual tests the achieved buckling loads and the loading imperfections determined from measurement data as well as the mean values and standard deviation of these data for each test point.

As part of the FAUST project, both field and laboratory investigations were conducted on the sediment exchange behavior of cohesive sediments in the Weser estuary. A particular focus of the work was the examination of vertical exchange processes at the interface between the water column and highly concentrated suspensions. Since the transitions between the sub-processes of sediment exchange are partially fluid or directly connected, investigations were carried out not only on the predominant aspects of settling and erosion behavior but also on consolidation behavior and rheology of cohesive sediments. The methodology to generate the density profiles is described in the corresponding publication, where the results were published and discussed first hand (https://doi.org/10.3389/feart.2022.916056). In general, an Anton Paar DMA Standard Densimeter has been used to measure the suspensions densities. For very high (approx. >1300 kg/m³) densities a suspension balance has been used as alternative. Lutocline evolution curves are generated by digitization of photographic observations of the lutoclines evolution over time. Information on the composition (approximate fractions of sand, silt and clay) of the sediments used is also given in https://doi.org/10.3389/feart.2022.916056. Data abbreviations are location based: BB - Blexer Bogen, NH - Nordenham, H - Harbour, S - Ship, L - Laboratory, MW - Measurementtrip Weser; Numbers are sample and field trip specific. Natural profiles: e.g. MW-II, NH-13H: Sample number 3 from the second field trip (first 0, second 1,...) on the Weser (MW-II) collected at Position Nordenham. Density profile generated immediately after returning in the harbour (H). Lab generated development of density-depth-profiles: e.g. BB-05 rho_0 = 1065 kg/m³: Sample number 5 from the first field trip on the Weser collected at Position Blexer Bogen having an initially homogeneous density profile of rho_0 = 1065 kg/m³

Context: This data is supplementary material to the publication with the title ‘Design guidelines for Material Extrusion of Metals (MEX/M)’ The corresponding paper investigates systematic framework for developing design guidelines for filament-based Material Extrusion of Metals (MEX/M), an additive manufacturing (AM) process classified under ISO/ASTM 52900. MEX/M presents a cost-efficient and sustainable alternative to conventional manufacturing techniques, particularly in the context of rapid prototyping. While AM inherently provides extensive design freedom, the MEX/M process introduces unique geometrical and process-related constraints that must be addressed for optimized component fabrication. This research formulates and validates design principles for the MEX/M process utilizing an austenitic steel 316L (1.4404) alloy filament. The feedstock comprises a homogeneous mixture of 316L stainless steel powder and a polymeric binder within a thermoplastic matrix, which is extruded and deposited in successive layers. To systematically evaluate the geometric feasibility of MEX/M, benchmark specimens were fabricated, analysing critical parameters such as minimum printable wall thickness, feature inclination, borehole formation, overhang stability, and the resolution of horizontal and vertical gaps. The green-state components, post-fabrication, undergo a two-stage thermal treatment comprising de-binding and sintering at elevated temperatures to achieve near-full densification. The process parameters for fabrication and sintering were adapted from prior empirical studies. A quantitative assessment of geometric deviations was conducted through 3D scanning, correlating the fabricated components with their corresponding CAD models to determine deformation (mm) and shrinkage rates (%). To further validate the practical applicability of the developed guidelines, an impeller was manufactured, incorporating key geometrical constraints intrinsic to MEX/M. As an outcome, this study proposes ten design guidelines that not only reinforce existing best practices but also extend their applicability, contributing to the enhancement of process reliability and structural integrity in MEX/M-based additive manufacturing

The data set was collected within the context of the research project ELMOD - “Simulation and analysis of the hydrological and morphological development of the Tidal Elbe for the period from 2013 to 2018”. The aim was to: i) obtain information on the settling and consolidation behavior of the site-specific coehsive sediment and ii) create a data set for the calibration of numerical models. The dataset consists of time-dependent density profiles of six cohesive sediment samples, collected in the Elbe estuary in the area of the Port of Hamburg. The sediment of three samples each was collected on the "Suederelbe" (SE) and the "Norderelbe" (NE). The exact sampling positions are shown in Figure 1 in the following related publication: https://doi.org/10.3389/fmars.2024.1386081. The grain size distributions (GSD) of the sediment samples are included in the dataset. The sediment samples were diluted in the laboratory to densities between 1035 kg/m³ and 1080 kg/m³. The samples were thoroughly homogenized in a 20 cm diameter settling column, by mixing the suspension for 10 minutes with a stirring machine. After 15 minutes of settling the first density profile was taken. For this purpose, a small amount of suspension (~5 ml) was extracted from defined heights in the settling column (every 5 cm). This procedure was performed by inserting thin alloy tubes from the top of the suspension and aspirating the suspension with a syringe from the desired depth. Since this procedure disturbs the sediment sample/suspension above the extraction depth, the subsamples are taken from top to bottom. The densities of the subsamples are measured using an Anton Paar DMA 35 density meter. After the density measurement the subsamples are returned to the settling column. Since the whole sample is disturbed after a complete density profile has been taken, the sample is homogenized again using the same procedure (10 minutes stirring) and the next profile can be taken after e.g. 30 minutes of settling. The described procedure was first presented in https://doi.org/10.3389/feart.2022.916056. In order to improve the data quality, slight modifications of the procedure have been introduced for the collection and evaluation of the presented data set: From the suspension/water surface to the lutocline, the density is set to the measured water density, since the variations in this area are < 1 g/l. To capture the area of the lutocline, where the largest gradients of the density profiles occur, the first subsample was taken 1 cm below the lutocline for each profile. Subsequent subsamples were taken at the fixed depths, 5 cm apart. For the updated version of the dataset, the profiles for 24h settling time for NE-sediment with initial densities of 1050 kg/m³ and 1065 kg/m³ have been repeated and corrected. The results of the previous version suggested irregularities in the recording of these two single profiles, since the integration of the measured densities over the settling column height showed an unusual deviation, compared to the other profiles of the same density. To test the repeatability of the results, the measurement of the 24h profile of sample NE1-8 with an initial density of ~1042 kg/m³ was repeated five times (sample homogenized and allowed to settle for 24h each time). The file NE1-8_1042_24h_Repetitions_DensityProfiles.csv contains the single density profiles of the five repetitions. Examplary explanation of the nomenclature of the files: GSD_NE1-8.txt -> Grain size distribution data for sample NE1-8 (NE1-8 indicates the eighth sample taken during campaign NE1) NE1-8_1035_DensityProfiles.csv -> Time-dependent density profiles of sample NE1-8 with an initial density of 1035 kg/m³. The initial height of the suspension is given in the .csv file (70-80 cm). NE1-8_1042_24h_Repetitions_DensityProfiles.csv -> Repetitions of the density profile of sample NE1-8 with an initial density of ~1042 kg/m³ after 24 hours of settling/consolidation.

Dataset that contains different data on electrochemical and x-ray diffraction experiments of the synthesis and structure investigations of hybrid materials made out of conductive polymers and porous silicon. The mesoporous silicon epilayers are filled electrochemically with the polymers polypyrrole and poly-3,4-ethylendioxythiophen. Polyaniline could only be deposited on top of the porous silicon and not inside the mesopores. If applicable, the galvanostatic raw datasets have to normalized by the epilayer surface area of 7.89cm². The x-ray diffraction data contains both powder diffraction data sets (counts vs. 2-theta) and 2D detector images (P08 DESY synchrotron, 25 keV) of the monomer 2,5-Dibromo-3,4-ethylenedioxythiophene and the polymer poly-3,4-ethylendioxythiophen after solid state polymerization at 60°C. The samples investigated at the synchrotron (2D datasets) are hybrid materials in which the mesoporous pore space of the silicon is filled via spontaneous imbibition of the DBEDOT and subsequently polymerized to PEDOT. Each 2D image is taken at a different z position in order to mitigate beam damage.