Abstract: A device for projecting a laser beam onto a workpiece includes at least one first optical element, at least one second optical element, and at least one third optical element. The at least one first optical element is configured to project the laser beam onto the at least one second, in particular diffractive, optical element. The at least one second optical element is configured to convert an intensity profile of the laser beam. The at least one third optical element is configured to project the laser beam onto the workpiece. The device is configured such that a diameter of the laser beam on the workpiece can be varied while maintaining the intensity profile with a stationary workpiece.

Abstract: A method for training a data-based model to ascertain an energy input of a laser welding machine into a workpiece as a function of operating parameters of the laser welding machine. The training is carried out as a function of an ascertained number of spatters.

Abstract: A computer-implemented method for operating a laser material processing machine. Process parameters are varied with the aid of Bayesian optimization until a result of the laser material processing is sufficiently good. The Bayesian optimization taking place with the aid of a data-based process model, and it being taken into consideration during the variation of the process parameters how probable it is that a variable which characterizes a quality of the result is within predefinable boundaries.

Abstract: The invention relates to an apparatus for the additive manufacture of a three-dimensional workpiece from a metal melt (1) containing aluminum, in particular an aluminum melt, comprising a compression chamber (2) which receives the metal melt (1) and is delimited by a piston (3) that is movable back and forth and by a nozzle body (4) having a nozzle bore (5) for discharging the metal melt (1) in drop form, wherein the nozzle body (4) has a metallophobic, in particular aluphobic structure (18), at least in the region (8) of a surface (7) adjoining the nozzle bore (5), which surface is arranged on the side facing away from the compression chamber (2),

Abstract: A computer-implemented method for operating a laser material processing machine. Process parameters are varied with the aid of Bayesian optimization until a result of the manufacturing, in particular the laser material processing, is sufficiently good. The Bayesian optimization is carried out with the aid of a data-based process model in a first phase, the data-based process model being trained as a function of estimated results. In a second phase, the data-based process model is trained as a function of the ascertained result resulting upon activation of the laser material processing machine.

Abstract: A computer-implemented method for operating a laser material processing machine. An estimated result is ascertained as a function of predefined process parameters, which characterize how good an actual result of the laser material processing will be, and the process parameters are varied by means of Bayesian optimization with the aid of a data-based model, until an actual result of the laser material processing is sufficient enough.

Abstract: A device for projecting a laser beam onto a workpiece includes at least one first optical element, at least one second optical element, and at least one third optical element. The at least one first optical element is configured to project the laser beam onto the at least one second, in particular diffractive, optical element. The at least one second optical element is configured to convert an intensity profile of the laser beam. The at least one third optical element is configured to project the laser beam onto the workpiece. The device is configured such that a diameter of the laser beam on the workpiece can be varied while maintaining the intensity profile with a stationary workpiece.