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Mental Model Evolvement During Drivers’ First Experience with Conditionally Automated Driving Systems in Real-World Traffic
No full textData, RScript and mental model questionnaire for paper "Mental Model Evolvement During Drivers’ First Experience with Conditionally Automated Driving Systems in Real-World Traffic
Input files for simulations with SolidLBM
No full textThis data set contains the input files for the simulations conducted as part of the doctoral thesis.
The files are:
Python scripts for running simulations (lattice Boltzmann, finite elements) to produce raw data and the input files defining the specific simulation; and Python scripts for the post-processing of raw data and figure preparation.
This needs the SolidLBM- or SolidLBMeval-module, repsectively.
Input files are text-files with different file extensions (.geo, .par, .bc, .toml) that describe parameters of the simulation. Additionally, .msh and .bc_alt files are generated by the 'mesher'-module of SolidLBM and are needed as input for the 'solver'. The FE simulations require a ,toml file as input for the parameters.
The raw data is produced either as .vtu files (LB) or .xdmf files with HDF5 (FE). Examples of the produced raw output data is given for the TRT convergence study in trt-convergence-study.tar.
Otherwise, the scripts and input files are sufficient to run simulations and produce the output data.
The scripts for post-processing of data produce plots as visulisations of the simulation results. Intermediate results are saved as .npz (Numpy archives) for faster reproduction of plots without recalculation. Examples of this are also included in trt-convergence-study.tar.
The TRT parameter study (trt-param-study.tar) further builds upon the evaluation of data compiled in a spreadsheet (.ods).This data set contains the input files for the simulations conducted as part of the doctoral thesis
Störgrößenmodell Bohrentgraten
No full textDiese Anwendung erweitert das bestehende Bohrentgratmodell um ein Störgrößenmodell, das systematische und zufällige Einflussgrößen im Entgratprozess berücksichtigt. Die gesamte Anwendung wurde in Python entwickelt und nutzt die bestehende grafische Benutzeroberfläche zur Werkzeugauslegung, ergänzt um ein dynamisch konfigurierbares Störgrößenmodul.
Funktionen:
- Aufbauend auf dem bestehenden Bohrentgratmodell
- Erweiterung um ein Störgrößenmodell (Achs- und Winkelversatz)
- Parametrierung und Steuerung der Störgrößen über eine separate Settings-Datei
Systemanforderungen:
- Python-Version: 3.9
- Start der Anwendung: Durch Ausführen der Datei main.py
Verwendete Python-Bibliotheken:
- matplotlib (Version 3.9.4) Für die grafische Darstellung
- numpy (Version 2.0.2) – Für numerische Berechnungen
- numpy-stl (Version 3.2.0) – Für den Umgang mit STL-Dateie
Evaluation: Transcript of the interview with a project manager for the dismantling of core systems at a nuclear power plant
Full text linkBackground:
As part of the doctoral thesis "XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities," expert interviews were conducted for both requirements analysis and evaluation. The aim of the evaluation was to determine the extent to which the developed XR-KIS application is applicable to different nuclear facilities, as intended in the concept, in light of its implementation in the Mont Terri underground rock laboratory in Switzerland. Half of the interview partners had already been interviewed during the requirements phase, which ensures a balanced ratio of experts who were familiar with the concept from the outset and those who only became acquainted with the application after its completion.
Regarding the transcript "Interview with a project manager for the dismantling of core systems at a nuclear power plant":
The expert worked for many years as a systems and components manager at a nuclear power plant. Following the shutdown of the plant, he is now the project manager for the dismantling of its core systems. The evaluation discussion focused largely on the functions that XR-KIS provides for nuclear power plants and how these are mapped in software already in use at his site. This direct comparison highlights the innovative potential of XR-KIS and its ability to connect to existing software environments.
Note:
The interview partner(s) has/have given written consent to the publication of this anonymized transcript as part of an authorization process. The German version represents the original text
Evaluation: Transkript des Interviews mit einem Projektleiter für den Abbau von Großkomponenten in einem Kernkraftwerk
Full text linkHintergrund:
Im Rahmen des Dissertationsprojekts „XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities“ wurden zur Anforderungsanalyse sowie zur Evaluation Experteninterviews durchgeführt. Ziel der Evaluation war es, anhand der Umsetzung im Felslabor Mont Terri in der Schweiz zu ermitteln, inwieweit der entwickelte XR-KIS-Prototyp wie im Konzept vorgesehen auf verschiedene kerntechnische Anlagen anwendbar ist. Die Hälfte der Interviewpartner war bereits während der Anforderungsphase befragt worden, wodurch ein ausgewogenes Verhältnis zwischen Experten, die das Konzept von Anfang an kannten, und solchen, die die Anwendung erst nach ihrer Fertigstellung kennenlernten, gewährleistet ist.
Zum Transkript "Interview mit einem Projektleiter für den Abbau von Großkomponenten in einem Kernkraftwerk":
Der Experte arbeitete viele Jahre als System- und Komponentenverantwortlicher in einem Kernkraftwerk. Nach dessen Stilllegung ist er nun Projektleiter für den Rückbau der Kernsysteme. Die Diskussionsrunde zur Evaluation konzentrierte sich vor allem auf die Funktionen, die XR-KIS für Kernkraftwerke bereitstellt, und darauf, wie diese in der bereits an seinem Standort eingesetzten Software abgebildet sind. Dieser direkte Vergleich verdeutlicht das Innovationspotenzial von XR-KIS und die Möglichkeit, es in bestehende Softwareumgebungen zu integrieren.
Hinweis:
Der/die Interviewpartner(in) hat/haben im Rahmen eines Autorisierungsprozesses sein/ihr schriftliches Einverständnis zur Veröffentlichung dieses anonymisierten Transkripts gegeben. Die deutsche Fassung stellt die Originalfassung dar
Modal coupling of non-linear inviscid axisymmetric droplet shape oscillations
No full textRaw data for the Modal coupling of non-linear inviscid axisymmetric droplet shape oscillation
Data for "Calibration-free thickness and temperature measurement of oil films using broadband near-infrared absorption spectroscopy"
No full textData used for generating the figures in the article "Calibration-free thickness and temperature measurement of oil films using broadband near-infrared absorption spectroscopy" by M. Bonarens, G. Goet, A. Auernhammer, C. Hansemann, S. Wagner and K. J. Daun published in Measurement Science and Technology, 36(1), 015217 in 2025
Nanoscale pores introduced into paper via mesoporous silica coatings using sol–gel chemistry:Public-Data
No full textPowerPoint File of the public data of the paper, including responsive Origin Data. (In addition, there is a zip-archive including the raw data for the figures.
Requirements analysis: Transcript of the interview with the head of the Digitalization (Building Information Modeling) group at the Bundesgesellschaft für Endlagerung
Full text linkBackground:
As part of the doctoral thesis "XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities," expert interviews were conducted for both requirements analysis and evaluation. The goal of the requirements analysis was to gain in-depth insights into the current state of Knowledge Management in the German nuclear industry. In addition, the requirements for an Extended Reality-based information system to support Knowledge Management in nuclear facilities were examined. Care was taken in selecting interview partners to cover all relevant stakeholders. This includes perspectives from the most important types of nuclear facilities (nuclear power plants, interim storage facilities, final repositories, research facilities) as well as other stakeholders, including federal authorities and engineering service providers.
Regarding the transcript "Interview with the head of the Digitalization (Building Information Modeling) group at the Bundesgesellschaft für Endlagerung":
The expert is primarily responsible for the strategic implementation of Building Information Modeling at the Bundesgesellschaft für Endlagerung. Building Information Modeling is used for construction projects at different final repository sites. The focus was on understanding Building Information Modeling as a communication method, the current use of Building Information Modeling at repository sites such as Asse and Konrad, and the challenges of using Building Information Modeling for the operational phase (Digital Twin). The discussion also covered the mapping of design knowledge in building information models and the importance of systems engineering for configuration management.
Note:
The interview partner(s) has/have given written consent to the publication of this anonymized transcript as part of an authorization process. The German version represents the original text
Survey Data from the "Schülerinnen-Projekttage" (Girls’ Project Days, SPT) at TU Darmstadt: Exploring Female Students’ Interest in STEM
Full text linkThis dataset contains anonymized survey responses collected during the "Schülerinnen-Projekttage" (Girls’ Project Days, SPT) at the Technical University of Darmstadt. The SPT is an annual outreach program by the department of Electrical Engineering and Information Technology lasting several days that aims to encourage female secondary school students to take an early interest in STEM subjects. At each event, participants engaged in hands-on workshops covering electrical engineering, information technology, and related fields. They completed structured questionnaires before and after the workshops to capture their experiences and learning outcomes. The surveys assess self-perceived technical confidence, interest in STEM subjects, perceptions of gender roles, and intentions to pursue a degree or career in STEM. This dataset is particularly useful for evaluating the impact of outreach programs, promoting gender-sensitive STEM initiatives, and studying long-term changes in interest, motivation, and self-efficacy among young female students in STEM contexts.
Please find the full instructions for usage in the README file.Survey Data 2022-202