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  • PSC522 Dataset

    Description:
    This dataset is part of the publication "A PLM-Integrated automated synthetic image generation pipeline for object detection" presented at the PLM conference 2025 in Sevilla. The paper presents an automated synthetic image data generation pipeline aimed at streamlining the training process of object detection models supporting manual assembly processes. By automating the rendering of images from CAD models instead of relying on manually created physical product images, the pipeline enables dataset creation in earlier phases of the product lifecycle while also significantly reducing manual effort. This approach enhances the accessibility for finetuned object detection model development. The pipeline integrates two core components: object similarity analysis and synthetic image generation. The similarity analysis groups visually similar objects into unified classes for the object detection model, reducing confusion during detection. The image generation process can be augmented with contextual information from virtual 3D workplace scenes, thereby significantly mitigating the sim-to-real gap. The pipeline is accessed via a REST API, enabling seamless integration with PLM systems for automated retrieval of CAD models and workplace scene data. A workflow manager orchestrates interactions between the user, the PLM system, and the generation pipeline. The effectiveness of the system is validated by evaluating object detection models trained on the synthetically generated datasets against real-world images, demonstrating its potential to improve detection accuracy and robustness in industrial environments. By publishing the data used, we aim to strengthen the traceability of the results obtained and that we can encourage further research in this field.
    Keyword:
    object detection, industrial object detection, synthetic data, plm, and product lifecycle management
    Publisher:
    Language:
    English and German
    Date Uploaded:
    2025-06-03
    Date Modified:
    2025-06-05
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset

  • Predictive capability of coupled rock behaviour – development of an experimentally based benchmark for numerical quality assurance (BeNuQuA)

    Description:
    Simulation tasks and numerical codes have become increasingly complex in the context of temporal and spatial upscaling for understanding and predicting subsurface rock mass mechanics, for example associated with radioactive waste disposal. Benchmark procedures based on laboratory datasets are required to verify the predictive capabilities of computational approaches. In this study, a high-quality laboratory dataset of conventional geomechanical experiments on granite was generated. Numerical simulations of the experiments were performed as proof-of-concept using COMSOL Multiphysics and RocScience RS to derive a benchmark procedure for numerical quality assurance that can be applied to computational approaches in the context of nuclear waste disposal and beyond. The laboratory schedule was specifically developed for the numerical simulation of time-dependent deformation characteristics in granite. Splitting tensile strength, uniaxial compressive strength, and triaxial compressive strength of carefully characterised specimens were investigated at different strain rates covering five orders of magnitude. Strength decreased with decreasing strain rate, and the presence of water decreased strength significantly. A significant contribution of end face friction in the experimental setup to the results of strength tests was verified and recommendations for preparational and experimental procedures in deformation experiments on granite were derived. Based on the laboratory dataset, 2D numerical simulations with RocScience RS2 successfully reproduced the effect of different lubricants to modify end face friction on strength, and COMSOL Multiphysics was able to reproduce the time-dependent deformation characteristics observed for granite. Using crack phase field damage modelling, COMSOL Multiphysics predicted triaxial compressive strength from uniaxial compressive strength by adjusting nothing but the boundary conditions. In both approaches, the adaptation of microstructural properties was required to successfully simulate the experimental findings pointing to a distinct need to further improve the understanding of microstructural processes causing the time-dependent deformation characteristics and to evaluate the potential for temporal upscaling to long-term processes exceeding those covered by laboratory experiments. The results of this study will significantly contribute to gaining more confidence in the predictive capabilities of numerical codes and identify code-specific parameters that are critical for successful prediction. and When referencing this report, please use the following citation: Witte L.C., Asghari Chehreh H., Backers T., Duda M., Aydin M. & Parvin S., 2024. Predictive capability of coupled rock behaviour – development of an experimentally based benchmark for numerical quality assurance (BeNuQuA). ReSeeD Research Data Repository, Ruhr University Bochum.
    Keyword:
    rock deformation, laboratory experiments, granite, Rocscience, nuclear waste, rocks, time-dependence, code comparison, benchmark, numerical simulation, and Comsol Multiphysics
    Subject:
    granite, Comsol Multiphysics, numerical simulation, laboratory experiments, rocks, nuclear waste, benchmark, Rocscience, time-dependence, rock deformation, and code comparison
    Publisher:
    Language:
    English
    Date Uploaded:
    2025-06-02
    Date Modified:
    2025-06-05
    License:
    Creative Commons BY-SA Attribution-ShareAlike 4.0 International
    Resource Type:
    Report

  • Unity Experiment Toolbox (UNEXT)

    User Collection
    Description:
    The Unity Experiment Toolbox (UNEXT) provides features to support the design of cognitive and spatial experiments with the game engine Unity.
    Keyword:
    Unity, Toolbox, Experiment Design, and Game Engine
    Resource Type:
    Software
    0Collections
    0Works

  • Density Measurements Helium / Neon

    Description:
    This dataset contains highly accurate density measurements for the system Helium / Neon down to temperatures of 100 K. Measurements were carried out with the apparatus described in LENTNER, Rafael, et al. Density measurements of liquefied natural gas (LNG) over the temperature range from (105 to 135) K at pressures up to 8.9 MPa. The Journal of Chemical Thermodynamics, 2017, 112. Jg., S. 68-76. Results of the measurements were published in VON PREETZMANN, Nils; SPAN, Roland. Measurement of the (p, ρ, T) behavior of Helium, Neon, and their mixtures at temperatures from (100 to 283.15) K and pressures up to 10.0 MPa. Cryogenics, 2024, 137. Jg., S. 103765.
    Keyword:
    Single-Sinker Densimeter, Density Measurements, Helium / Neon, and Cryogenic
    Publisher:
    Date Uploaded:
    2025-05-26
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Energy Levels Hydrogen

    Description:
    Rovibrational energies of the hydrogen molecule in the electronic ground state have been derived from a complete vacuum ultraviolet (VUV) spectrum. This purely experimentally based approach has been chosen to compare experimentally based quantum-mechanical predictions for caloric properties of hydrogen in the ideal-gas state with approaches fitting smoothing functions to IR data and with ab-initio calculations of rovibrational energy levels. Results of this comparison were found to agree essentially within 0.01% in the isobaric heat capacity and give an indication for the uncertainty ideal gas properties. The given energy levels allow for the calculation of properties of ortho, para and normal hydrogen as well as for calculations regarding the equilibrium ortho / para distribution as a function of temperature. The results form the basis for the development of a numerically less demanding empirical representation of the ideal gas properties as basis for the development of a new reference equation of state.
    Keyword:
    Hydrogen, Ideal Gas Properties, and Rovibrational Energy Levels
    Publisher:
    Date Uploaded:
    2025-05-22
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Viscosity Measurements H2 and H2-Mixtures

    Description:
    This data set contains viscosity measurements for hydrogen and for mixtures containing hydrogen and components relevant for blue-hydrogen production. Measurements were carried out with highly accurate gas-phase viscometers utilizing magnetic-suspension technology. Results are published in Betken, Benjamin; Khosravi, Bahareh; Sabozin, Fabian; Thol, Monika; Span, Roland; ,"Measurements of the Viscosity of n-Hydrogen and (n-Hydrogen+ Carbon Dioxide),(n-Hydrogen+ Methane), and (n-Hydrogen+ Ethane) Mixtures at Temperatures from (253.15 to 473.15) K and at Pressures up to 20 MPa",International Journal of Thermophysics,46,4,55,2025,Springer US New York
    Keyword:
    Hydrogen / Carbon Dioxide, Viscosity, Hydrogen / Methane, Viscosity Measurements, Hydrogen, Hydrogen / Ethane, and Gas Phase
    Publisher:
    Date Uploaded:
    2025-05-22
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Density Measurements

    User Collection
    Description:
    This sub collection contains results of density measurements performed in the ERC Advanced Grant ThermoPropHy
    Resource Type:
    Dataset
    0Collections
    0Works

  • Fluid Catalytic Cracking (FCC) Alarm Dataset

    Description:
    This dataset contains simulation data from a Fluid Catalytic Cracking (FCC) unit, specifically designed for alarm flood classification and alarm management research. The dataset is derived from a high-fidelity MATLAB-based FCC simulation model that has been enhanced with realistic process variations and a comprehensive alarm system. Key features of the dataset include: Size: 1,600 simulation runs across 16 different abnormal situations (100 runs per disturbance) Time Resolution: Process data sampled at 60-second intervals File Structure: In the timeseriesdata, each run includes three CSV files: process.csv: Contains 25 process variables (temperatures, pressures, flows, etc.) valves.csv: Contains 11 valve position variables disturbances.csv: Contains 15 variables related to disturbances and ambient conditions For the alarmseriesdata, each run consists of a single file alarms.csv: Contains 57 alarm status variables (low, high, low-low, high-high) The dataset captures realistic process dynamics with: Added measurement noise to all variables (e.g., 1% for level, 0.01°C for temperature) Comprehensive alarm configuration with thresholds based on operating limits 16 different abnormal situations including valve failures, catalyst deactivation, and equipment issues This dataset addresses the gap in publicly available alarm data for process industries and provides a valuable resource for developing and evaluating alarm management techniques, particularly alarm flood classification methods.
    Keyword:
    Alarm Flood Classification, Fluid Catalytic Cracking (FCC), and Process Simulation
    Publisher:
    Date Uploaded:
    2025-05-07
    Date Modified:
    2025-05-12
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset

  • Frag einen Hirnforscher!

    Keyword:
    Extinction Learning, CRC 1280, Memory, and Biopsychology
    Publisher:
    Language:
    Date Uploaded:
    2025-04-25
    Date Modified:
    2025-04-25
    License:
    Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
    Resource Type:
    Collection

  • Einsamkeit, oder: die Politik eines Gefühls

    Keyword:
    Loneliness, Mental Health, and Public Health
    Publisher:
    Language:
    Date Uploaded:
    2025-04-25
    Date Modified:
    2025-05-02
    License:
    Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
    Resource Type:
    Collection