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2037 research outputs found
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Replication Data for: Real-time capable feedrate optimization for laser processes with redundant axes via two-stage regularized linear programming
No full textSimulation and experimental dataset for feedrate planning in redundant-axis laser machines.
This dataset belongs to the Open Access publication "Real-time capable feedrate optimization for laser processes with redundant axes via two-stage regularized linear programming" (doi: 10.1016/j.ijmachtools.2025.104342) A detailed description of the setup can be found in the publication.
The dataset contains the following folders (Feel free to contact the dataset owner if you have any questions about the dataset.):
Simulation - Section 4_1
Simulation results in section 4.1 of the paper, showing the feasibility and computational requirements.
Simulation - Section 4_2
Simulation results in section 4.2 of the paper, comparing the time optimality of different planning methods.
Simulation - Section 4_3
Simulation results in section 4.3 of the paper, analyzing the motion smoothness achieved by numerical regularization.
Experiments - Section 4_4
Experimental results in section 4.4 of the paper, validating the planning algorithms on the test benches compared to the industrial CNC kernel.
Simulation - Section 4_5
Simulation results in section 4.5 of the paper, comparing the presented method with the state of the art.
Videos
Illustrative animation of the presented algorithm and recorded videos of the laser engraving experiments.
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Fiber-optic Strain Sensor Data Collected from Loop Specimens under Various Loading Conditions
No full textThis dataset includes strain and cross-sectional data from two CFRP loop specimens fabricated using coreless filament winding (CFW).
Specimen 1 features both anchors positioned in the same plane, resulting in a “straight” configuration, while specimen 2 has one anchor elevated, creating an “angled” configuration.
Both specimens contain fiber-optic sensors (FOS) operating on the Rayleigh backscattering principle. As the specimens are loops, both sides contain sensors.
The specimens were mechanically tested under different clamping conditions and at various non-destructive load levels. During testing, strain signals were obtained along the entire sensor length, mapped to the geometry, and resampled to 100 measurement points per segment. After testing, the specimens were cut, and their cross-sectional shapes, cut thicknesses, and FOS cross-sectional positions were measured.
The dataset contains 504 text files with strain data, each including a header indicating the measurement location and configurations. All strain values are provided in microstrain. Additionally, the dataset contains 76 text files with the coordinates of each cut (cut 1 of specimen 1 was removed). Each file includes the y and z coordinates in mm of one contour. To estimate the x coordinate, the thickness of the cuts, measured in µm, is provided in a tabular file. Another tabular file contains the positions of the FOS within each cross-section.
To aid understanding of the process and FOS implementation, two illustrative photos are included. To better visualize the sensor locations and configurations during testing, two additional figures are also provided in this dataset.</p
Jose et al. MLST 2025 - Code, Data and Models
No full textThis dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics from soot filaments in an RQL-type model combustor to enhance the fundamental understanding soot formation, transport and oxidation. B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025
Replication Data for: Spatially resolved ionization current measurements using an active-matrix transimpedance amplifier array
No full textThis dataset holds all measurement data, as well as the evaluation and plotting scripts to replicate all figures of the paper.
The data is structered in folders of the figures. In the most cases a folder inlcudes the figure (.pdf), a subfolder named Plot and a subfolder named Raw data and evaluation script. The Plot folder contains the plotting script (.py) and the plotted data (.txt). The Raw data and evaluation script folder contains the recorded (unprocessed) data (.csv, .xlxs) and a python script (.py), which generates the plotted data from the raw data
Model for Bioconcrete Production
No full textThis dataset contains the code for the REV-scale model for "A numerical 1D reactive flow and transport model for cementation processes in bio-concrete production".
The model was (and can be) applied for various experimental setups, for which input files are provided as well. The setup of these is described in the Readme.
Related datasets and repositories:
DuMux: Website, git repository</a
XPTV data set of the flow inside a nozzle of an FFF printer
No full text This dataset contains raw image data and particle tracking results from X-ray imaging experiments conducted to investigate the flow behavior of molten polymer through a heated nozzle during continuous extrusion, as used in Fused Filament Fabrication (FFF). The data was acquired using 2D projectional radiography inside a μ-CT scanner, with tracer particles embedded in the polymer melt and tracked via X-ray particle tracking velocimetry.
The experimental setup includes a custom-designed aluminum nozzle tailored for X-ray transparency and mounted in a YXLON FF20 CT scanner. Four distinct filament feed velocities (0.5, 1.0, 1.5, and 2.0 mm/s) were tested nozzle temperatures of 220 °C, 240 °C, and 260 °C. X-ray recordings were performed at 190 kV and 60 μA with 2×2 pixel binning, resulting in a frame rate of 15 Hz and an effective pixel size of 18.5 μm.
The raw data comprises image sequences cropped to the nozzle region of interest, along with background-subtracted image stacks used for particle detection. Tracer velocities were extracted using the TrackMate plugin in Fiji and further processed in Python to remove spurious tracks based on geometric and trajectory consistency criteria.
This dataset supports the analysis of velocity fields in polymer extrusion and enables further validation or extension of the presented tracking and image processing methodologies.</p
Data repository for "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects"
No full text
This dataset provides reproduction code and experimental data for the publication "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects". The repository contains an exact snapshot of the code version used to generate all results in the paper, ensuring full reproducibility.
The repository is organized into three zip archives:
code.zip: Contains the code used to generate and evaluate the data. This archive includes a README with instructions on how to use the code and integrate the two data archives.
data_quantum_devices.zip:Contains the raw and partially preprocessed experimental data obtained from quantum devices, as well as calibration data for the devices.
data_simulations.zip: Contains experimental data generated from simulations.
For reference, this dataset includes a separate PDF file for each figure presented in the publication. These files were generated directly from the enclosed code and data, and they serve as benchmarks for visually verifying reproduced results.
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Replication Data for: Highly efficient real-time spatially resolved sensing of ultraviolet light
No full textThis dataset holds all measurement data, as well as the evaluation and plotting scripts to replicate all figures of the paper.
The data is structured in folders of the figures. In the most cases a folder includes the figure (.pdf), a subfolder named Plot and a subfolder named Raw data and evaluation script. The Plot folder contains the plotting script (.py) and the plotted data (.txt). The Raw data and evaluation script folder contains the recorded (unprocessed) data (.csv, .xlxs) and a python script (.py), which generates the plotted data from the raw data
Supplemental Material for "A Multimodal Framework for Understanding Collaborative Design Processes"
No full textThis repository provides the supplemental material for the paper "A Multimodal Framework for Understanding Collaborative Design Processes," published in IEEE Transactions on Visualization and Computer Graphics. The supplemental material comprises the following data:
PDF document discussing alternative visual designs and additional details about our conducted workshop on band-practice visualization.
Source code of the visualization system and preprocessing scripts
Teaser video (with subtitles) showcasing our visualization system
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Numerical Data for: What governs droplet spreading on a wetted wall
No full textSupplementary material to Jonathan Lukas Stober, Kathrin Schulte, "What governs droplet spreading on a wetted wall" (https://doi.org/10.1063/5.0258742), referred to as "related publication" in the following:
Direct Numerical Simulation of a droplet impact onto a thin wall film (Isopropanol, air) performed with the ITLR in-house program package Free Surface 3D (FS3D). The code solves the incompressible Navier-Stokes equations in a one-field formulation with a Volume of Fluid (VoF) approach, see related publication. The simulation was performed in three dimensions (768³) cropped to 410*111*410.
The data is saved in hdf5 files. For each timestep, there is one file storing the VoF-variable, which is a scalar field with values between 0 and 1 indicating the phases being ambient gas (0) or drop liquid (1), (funs00*.hdf). Additionally, there is another file for each timestep storing the velocity vector field (velv00*.hdf). In total, there are 8 timesteps starting with the moment of first contact of the droplet with the wall film.
#1: tau = 0.0 (moment of first contact of droplet with film)
#5: tau = 1.0
#9: tau = 2.0
#13: tau = 3.0
#17: tau = 4.0
#21: tau = 5.0
#25: tau = 6.0
#29: tau = 7.0
The simulation results of three cases from the related publication are published. Case No. 1 (Reference), No. 5 (1/10 of Viscosity), and No. 6 (free-slip boundary condition)
The simulation was performed as part of the GRK 2160 within the subproject SP-C2