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Supplement material for a journal article in MPDI Applied Science.
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 includes predictions of a frequency response function model, which can be used as a benchmark for comparison with novel algorithmic approaches. The dataset contains measurements from a three-component servo-hydraulic fatigue test bench for suspension hydro-mounts. The sensor setup of this test bench consists of 3 inertia compensated force and 3 displacement sensors. Various non-linear influences affect the system behavior. The hydro-mounts are filled with oil to provide highly non-linear dampening, while the pendulum kinematics of the test bench introduce non-linear interactions between the excitations in different spatial directions. The most impactful non-linearity results from the system stiffness.
Thermionic Emission measurement data of thick film C12A7:e- paste (t=100 µm) on titanium substrates. Samples prepared by Fraunhofer IKTS. Tests conducted by Institute of Aerospace Engineering (TU Dresden).
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.
Bead foams with their hierarchical geometrical structure are a challenge in statistical reconstruction and finite element modelling. For the purpose of providing fundamental micro- and meso-structural descriptors of expanded polypropylene bead foams of different density, 3D-images from X-ray computed tomography (CT) are acquired. The data provided comprise reconstructed volume data as well as segmented data of three specimens of different density. Coarse scans of the specimen volume, definitions of certain regions of interests (ROI) as well as high resolution scans of the ROIs are included.
Metallic samples with unique micro- and nano-scale surface structures can easily be fabricated with Direct Laser Interference Patterning. Like in all laser processes, the material interacts with the laser radiation and as a result, thermal effects occur. These effects have a significant influence on the resulting quality of the surface patterns. In this study, the thermal effects occurring during Direct Laser Interference Patterning of stainless steel and aluminum sheets are investigated. The used experimental setup consisted of a picosecond pulsed laser source operating at 532 nm wavelength, combined with a two-beam interference optical head. An infrared camera in an off-axis position is used to detect the resulting thermal radiation of the laser process varying different process parameters such as laser power and repetition rate. The obtained results reveal a correlation between the recorded signal by the infrared camera and the reached surface quality. They show an impact of the thermal effects on the quality of the surfaces and the amount of solidified material on the resulting line-like pattern. Threshold values of the detected infrared signal detected are determined to classify the obtained surface conditions.