modelling

  • AccuFlow: Drug-delivery platform

    AccuFlow developed an innovative technology platform for drug-delivery devices intended for combined use with specialized pharmaceuticals. Within the project, MD-Lab focused on the mechanical pump subsystem: selecting suitable motion mechanisms, designing compact transmission stages, optimizing gear geometry and validating the resulting concepts through simulation and experimental rigs.

  • LESS Mechanism

    The LESS project examined a patented power-transmission mechanism proposed as an alternative to conventional crank-rod systems in reciprocating machines. The mechanism converts rotary to reciprocating motion and vice versa, with potential use in internal-combustion engines, pumps, compressors, and expanders. MD-Lab contributed by building the numerical modelling chain required to study contact, friction, and lubrication behavior.

  • Loss Factor Characterization

    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.

  • Gearless Differential

    The Gearless Differential project investigates a cam-track differential architecture that replaces conventional side and spider gears with identical wavy cam-track disks, guided rolling members and a geared retainer. The work formalizes the geometry required for rolling contact, verifies the kinematics through simulation, and evaluates a representative passenger-car configuration using contact stress and fatigue-life assessment.

  • Gear Dynamics

    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.

  • Plastic Gears

    Research on plastic gear transmissions at MD-Lab combines material-model development, finite-element and neural-network surrogate modelling, dynamic/NVH simulation, and additive manufacturing technologies. Key results include neural-network surrogates that reproduce finite-element static transmission error curves for polymer gears with 0.49% MAPE, dynamic simulations showing reduced vibration levels compared with metallic gearsets, and additive-manufacturing studies that quantify FDM and other 3D-printing accuracy limits while investigating wear resistance and wear patterns in printed gears.

  • Magnetic Gears

    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.