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1 to 10 of 20 Results
Prozessparameter und Farbwerte für einen Laserprozess auf Edelstahl
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 Strahlein...
Modell zur Vorhersage von Prozessparametern eines Laserprozesses auf Basis von RGB-Farbwerten
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 Vorher...
2023_DFG_SeilroStrKonfig2(Universität Stuttgart)
Jul 18, 2024
Dissertation Reiff(Universität Stuttgart)
Jul 1, 2024
Replication Data for: Control Comparison of Impact Actuator
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 contou...
2018_DFG_IMPULS(Universität Stuttgart)
Mar 27, 2024
Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives
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 lo...
2019_DFG_ZRA_Gleichlaufkompensation(Universität Stuttgart)
Mar 18, 2024
Replication Data for: Anisotropic Damping and Stiffness of laminated steel parts using adhesive bonding - an empirical influence study
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 or...
Measurement data for: Development of a Cable Actuator Test Rig for Identification of Dynamic Running Properties of Synthetic Fiber Ropes
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...
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