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The demands on maritime shipping, one of the oldest and most international industries in the world, are increasing. The complexity of the transport chains, their constantly increasing size and the evolving regulatory requirements with regard to safety and sustainability continuously present new challenges. In addition, unforeseeable developments and the increasing utilization of the seas by other industries cause a constant uncertainty, by political and military conflicts along main shipping routes, as well as changed routing schemes caused by introduction of new environmental protection areas. Highly automated, remote-controlled or fully autonomous ships are intended to improve safety at sea and lead shipping into a more sustainable future. Experts in the maritime domain recommend the automation of ships (completely or partly unmanned) and the implementation of Artificial intelligence (AI) for more safety in navigation with a harmonized Maritime Cyber Risk Management. In a technology development platform such highly complex maritime systems can be validated and tested under realistic conditions, for instance to engage in determining positions more reliably and resiliently in view of the susceptibility and vulnerability of satellite-based Global Navigation Satellite Systems (GNSS), such as GPS, GLONASS or Galileo.

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Additively manufactured particle dampers can significantly improve component damping. However, if designed incorrectly, the damping can be worsened. For the design of additively manufactured particle dampers, there are not yet sufficient design rules and models to describe the effect due to numerous design parameters. The research question answered in this paper describes how the effect of particle damping can be characterised as a function of excitation force and excitation frequency for different cavity sizes. To characterise the effect of particle damping, a 33 full factorial test plan is constructed, and the damping is determined experimentally. It is shown that the damping can be reliably evaluated with the circle-fit method. The effect of particle damping is investigated for beams made of AlSi10Mg, 1.2709 and Ti6Al4V. As a result, a positive effect of the particle damping in a frequency range from 500 to 30,000 Hz and partly up to the 9th bending mode can be proven. It is shown that, for the first bending mode, there is an optimum at approx. 2000 Hz. For the optimum, the increase of the damping for the tool steel 1.2709 to 28 and for the aluminium alloy AlSi10Mg to 18 can be proven.

The deep-drawability of a sheet metal blank is strongly influenced by the tribological conditions prevailing in a deep-drawing process. Therefore, new methods to influence the tribology represent an important research topic. In this work, the application of a process-integrated lubrication in a deep-drawing process is investigated. Most promising geometries of the lubrication channels and outlet openings are first identified by means of numerical simulation at the example of a demonstrator process. Cylindrical test specimens with the specified channel geometries are additively manufactured and installed in a strip drawing test stand. Additive manufacturing enables the possibility of manufacturing complex channel geometries which cannot be manufactured by conventional methods. A hydraulic metering device for conveying lubricant is connected to the cylindrical test specimens. Thus, hydraulically lubricated strip drawing tests are performed. The tests are evaluated according to the force curves and the fluid mechanical buildup of pressure cushion. The performance of process-integrated lubrication is thus analyzed and evaluated. By means of a coupled forming and SPH simulation, the lubrication channels could be optimally designed. From the practical tests, it could be achieved that the drawing force decreases up to 27% with pressure cushion build up. In this research, a hydraulic lubrication in the area of highest contact normal stresses is the most optimal process parameter regarding friction reduction.