11 to 20 of 27 Results
Oct 29, 2024 - Rebekka Neumann Dataverse
Neumann, Rebekka; Wortmann, Andreas; Zhang, Jinxi; Chen, Shengjian Patrick; Ellwein, Carsten; Klingel, Lars, 2024, "Replication Package for "Digital Twins for Machine Tools: A Systematic Mapping Study"", https://doi.org/10.18419/DARUS-4542, DaRUS, V1
Replication package for the paper "Digital Twins for Machine Tools: A Systematic Mapping Study". It includes the meta data of all considered literature. |
Sep 25, 2024 - 2023_ICM_RoboCable
Zürn, Manuel, 2024, "Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking", https://doi.org/10.18419/DARUS-4236, DaRUS, V1
Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking. 4K Images from 3 Camera Perspectives including Annotation data for Reproduction of the Learning for the ML Model. It includes the tensorboard logfile representing the quantitative loss during training, the qualitative spline prediction during training and the final trained model we... |
Jul 25, 2024 - Dissertation Reiff
Reiff, Colin, 2024, "Prozessparameter und Farbwerte für einen Laserprozess auf Edelstahl", https://doi.org/10.18419/DARUS-4338, DaRUS, V1
Bei diesem Versuch wurde eine Edelstahlplatte mit unterschiedlichen Prozessparametern eines Lasersystems belichtet und die resultierende Farbe mit einem Mikroskop ausgewertet. Die zentralen Komponenten der Laseranlage sind ein Galvanometerscanner (MINISCAN III mit einer Strahleintrittsapertur von 14 mm) der Firma Raylase, ein f -Theta Objektiv (Bre... |
Jul 25, 2024 - Dissertation Reiff
Reiff, Colin, 2024, "Modell zur Vorhersage von Prozessparametern eines Laserprozesses auf Basis von RGB-Farbwerten", https://doi.org/10.18419/DARUS-4339, DaRUS, V1
Künstliches neuronales Netz mit zwei verdeckten Schichten mit 50 bzw. 25 Neuronen und einer ReLU-Aktivierungsfunktion. Die Ausgabeschicht hat eine sigmoide Aktivierungsfunktion. Für das Training wird ein Adam-Optimierer verwendet, der den mittleren quadratischen Fehler der Vorhersage gegenüber der erwarteten Ausgabe minimiert und so die Gewichte de... |
Apr 2, 2024 - 2018_DFG_IMPULS
Schulte, Alexander, 2024, "Replication Data for: Control Comparison of Impact Actuator", https://doi.org/10.18419/DARUS-3763, DaRUS, V1, UNF:6:bIJ2jkFx4tiIxBORfqfLSw== [fileUNF]
The Dataset contains the data, that was created simulating and measuring different control strategies for the impact actuator. Each table contains the time value, the set position and the actual position for the base axes as well as the actuators when executing a reference contour. There are two tables for each of the four control strategies, both... |
Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures
König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/DARUS-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]
This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics... |
Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation
Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF]
This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p... |
Jan 16, 2024 - 2023_DFG_TopGen3
Helfesrieder, Nico, 2024, "Replication Data for: Anisotropic Damping and Stiffness of laminated steel parts using adhesive bonding - an empirical influence study", https://doi.org/10.18419/DARUS-3365, DaRUS, V1, UNF:6:iW1hKCadh2Z5CUi91DMIyg== [fileUNF]
This dataset contains all experimental data that is shown within the paper "Anisotropic Damping and Stiffness of laminated steel parts using adhesive bonding - an empirical influence study". Bending beams manufactured by Layer Laminated Manufacturing (LLM) were investigated in order to analyze the influence of different manufacturing parameters on... |
Oct 17, 2023 - 2022_DFG_IKEPa
Reichenbach, Thomas; Trautwein, Felix; Pott, Andreas; Verl, Alexander, 2023, "Measurement data for: Development of a Cable Actuator Test Rig for Identification of Dynamic Running Properties of Synthetic Fiber Ropes", https://doi.org/10.18419/DARUS-3600, DaRUS, V1
Measurement data and analysis scripts to investigate slip and friction effects of running synthetic fiber ropes. All measurements data is provided in the folder "Data" in form of csv files. Additionally, the motion profile is stored as nc file. The data is structured according to the directory names; "WF" stands for applied cable forces and "F" for... |
Aug 15, 2023 - SliMoReK Dataverse
Xu, Haijia; Hinze, Christoph, 2023, "Replication Data for: Robust µ parameterization with low tuning complexity of cascaded control for feed drives", https://doi.org/10.18419/DARUS-3252, DaRUS, V1
Experimental dataset for model identification and validation of position controllers on a ball screw test bench. This dataset belongs to the Open Access publication "Robust µ parameterization with low tuning complexity of cascaded control for feed drives" (doi: 10.1016/j.conengprac.2023.105607). A detailed description of the setup can be found in t... |
