Auflistung Technische Universität Dresden nach Autor "Kästner, Markus"
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3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks
Heindel, Leonhard; Hantschke, Peter; Kästner, Markus (Technische Universität Dresden, 2021)This dataset was created to provide measurements of a non-linear dynamic system with multiple input and output signal channels for the developement and testing of virtual sensing and forward prediction algorithms. It also ... -
eBike measurements for fatigue monitoring and maneuver identification tasks
Heindel, Leonhard; Hantschke, Peter; Kästner, Markus (Technische Universität Dresden, 2022)This dataset provides acceleration and strain measurements from a sensor equipped eBike, which were collected for the development of new methods for fatigue damage monitoring and maneuver identification tasks. -
Experimental analysis of residual stress evolution under cyclic mechanical loading in 42CrMo4+QT (1.7225) including parametrization data
Schneider, Tom; Gibmeier, Jens; Kästner, Markus (Technische Universität Dresden, 2024)This data set contains various results from (cyclic) tests with 42CrMo4+QT/SAE4140. The first part contains the results of cyclic 4-point bending tests on cuboid specimens. They were used to measure the residual stress. ... -
Experimental characterization of fatigue behavior of 42CrMo4+QT material specimens and cross-rolled components
Schneider, Tom; Ellmer, Franz; Guilleaume, Christina; Hantschke, Peter; Brosius, Alexander; Kästner, Markus (Technische Universität Dresden, 2023)This dataset provides a cyclic material characterization from cyclic tests of material specimen made of 42CrMo4+QT. In addition, fatigue life data are included for cross-rolled components produced with different process ... -
Homogenized data magneto-active polymers
Kalina, Karl Alexander; Gebhart, Philipp; Brummund, Jörg; Linden, Lennart; Sun, WaiChing; Kästner, Markus (Technische Universität Dresden, 2023)Herein, homogenized datasets for magneto-active polymers (MAPs) with stochastic particle distribution and reversible magneto-elastic behavior are provided. The data have been generated by using an in-house finite element ...