NOESIS developed and demonstrated a new generation of vibration and seismic protection devices for all spatial directions. The project was built around the KDamper concept, an innovative isolation and absorption architecture that uses negative-stiffness elements to protect structures, equipment and sensitive installations from seismic and other low-frequency excitations.
MD-Lab provided laboratory testing and engineering validation for maritime UAV prototypes developed with A.S. Prote Maritime Ltd. The work covered prototype preparation, static structural checks, dynamic vibration measurements, FFT-based response processing, reverse engineering and aerodynamic simulation support, creating a coherent pathway from physical testing to numerical validation.
A controlled experimental characterization project for ELVAL COLOUR S.A., focused on the damping behavior of composite aluminium plates. MD-Lab developed the mechanical test setup, manufactured a dedicated auxiliary aluminium plate and fixture system, and carried out vibration measurements according to DIN EN ISO 6721-1 and -3. Detailed numerical results and material comparisons are omitted from this public summary due to confidentiality.
Multi-objective optimization of gear tooth profiles to improve weight, efficiency, dynamic behavior, and wear performance, focusing on both involute macro-geometry and free-form non-involute profiles. Key results include more than 40% reduction in power losses and 35% reduction in vibration RMS for optimized involute gears. For free-form gears, reductions of up to 55% in average wear depth and 70% in maximum wear depth have been achieved.
MD-Lab research on gear dynamics develops reduced-order, nonlinear and optimization-ready simulation models for spur gear transmissions. The work connects static and dynamic transmission error, load-dependent mesh stiffness, intermittent contact, tooth eigenvibrations, macro-geometry optimization and high-pressure-angle gear design.
MD-Lab research on coaxial magnetic gears develops fast analytical and hybrid electromagnetic models for torque prediction, topology evaluation, nonlinear dynamic response and eddy-current loss estimation. The work supports the design of contactless transmissions with reduced wear, low noise, inherent overload protection and computationally efficient early-stage optimization.
