Abstract: In order to separate excess material from an additively manufactured component, spatially resolved structural data on the component are received. On the basis of the structural data, a process for emptying material from the component is simulated, wherein a sequence of emptying poses of the component is determined. For an associated emptying pose: the component is moved into the associated emptying pose in accordance with the simulated emptying process, movement of material is detected by sensors, as a result of a detection of a decrease in the movement of material, a trigger signal is generated, and a movement of the component into a subsequent emptying pose is initiated by the trigger signal, the trigger signal being considered higher priority than the simulated emptying process.

Abstract: To separate excess material, the component moved by a movement device that is controlled by movement data, and a fill level of the component with material is measured. A process for emptying material from the component simulated for each different initial fill level with material, wherein movement data, which specify a simulated movement of the component, and a simulated fill level progression resulting from the simulated movement are assigned to the associated initial fill level. In addition, a corresponding initial fill level is selected in accordance with the measured fill level, and the movement device is controlled by movement data which are assigned to the selected initial fill level. The fill level is measured and compared to a simulated fill level progression assigned to the selected initial fill level. The steps of selecting a corresponding initial fill level (SAFG) and controlling the movement device (BV) are carried out.

Abstract: A rotor of an exhaust-gas turbocharger includes a rotor hub and rotor blades disposed on the rotor hub. The rotor blades have a blade thickness distribution selected in such a way that the rotor blades have along their extent from a fluid inlet or leading edge to a fluid outlet or trailing edge at least one transition between a stiffness or rigidity-oriented blade thickness distribution and an inertia and stress-oriented blade thickness distribution over the height of the blade.

Abstract: An apparatus and method are provided for automatically generating a deterministic target differential equation system for evaluating an output differential equation system with stochastic input parameters with a device for providing a weighted sum of orthogonal basic functions inserted into the output differential equation system, which forms a stochastic random variable. A multiplication device for multiplying the output differential equation system by the orthogonal basic functions and an integration device for integrating the output differential equation system which is multiplied by the orthogonal basic functions to generate the deterministic target differential equation system are provided. A control device calculates stochastic output parameters based on the deterministic target differential equation system generated and accordingly controls a mechanical or electronic adjustment element. The apparatus may be suitable for use in a robust regulating and control circuit for regulating an installation, e.g.

Abstract: A rotor of an exhaust-gas turbocharger includes a rotor hub and rotor blades disposed on the rotor hub. The rotor blades have a blade thickness distribution selected in such a way that the rotor blades have along their extent from a fluid inlet or leading edge to a fluid outlet or trailing edge at least one transition between a stiffness or rigidity-oriented blade thickness distribution and an inertia and stress-oriented blade thickness distribution over the height of the blade.

Abstract: An apparatus and method are provided for automatically generating a deterministic target differential equation system for evaluating an output differential equation system with stochastic input parameters with a device for providing a weighted sum of orthogonal basic functions inserted into the output differential equation system, which forms a stochastic random variable. A multiplication device for multiplying the output differential equation system by the orthogonal basic functions and an integration device for integrating the output differential equation system which is multiplied by the orthogonal basic functions to generate the deterministic target differential equation system are provided. A control device calculates stochastic output parameters based on the deterministic target differential equation system generated and accordingly controls a mechanical or electronic adjustment element. The apparatus may be suitable for use in a robust regulating and control circuit for regulating an installation, e.g.

Abstract: A nonlinear technical product or process described by stochastic system output target values dependent on stochastic system input parameter values, thereby stating discrete technical system dependencies, is optimized by using a Response Surface Methods based on discrete technical system dependencies to generate at least one continuous auxiliary function for the real dependencies of the target values on the input parameter values. Next, an auxiliary function is used to generate at least one optimizing parameter for optimization by an objective function, thereby generating an additional discrete technical system dependence. The technical system is adaptively optimized by repeating the above, using the additional discrete technical system dependence, until the difference of successive optimized optimizing parameters is below a threshold. The final additional discrete technical system dependence is an optimal technical system operating point.

Abstract: A nonlinear technical product or process described by stochastic system output target values dependent on stochastic system input parameter values, thereby stating discrete technical system dependencies, is optimized by using a Response Surface Methods based on discrete technical system dependencies to generate at least one continuous auxiliary function for the real dependencies of the target values on the input parameter values. Next, an auxiliary function is used to generate at least one optimizing parameter for optimization by an objective function, thereby generating an additional discrete technical system dependence. The technical system is adaptively optimized by repeating the above, using the additional discrete technical system dependence, until the difference of successive optimized optimizing parameters is below a threshold. The final additional discrete technical system dependence is an optimal technical system operating point.