In one example, a process for loading a build material powder supply container for 3D printing includes, with a floor of the supply container at or near a top of the supply container, dispensing build material powder into a loading chamber surrounding the top of the supply container and on to the floor, compacting powder in the loading chamber, and lowering the floor with the compacted powder into the supply container.

In one example, a process for loading a build material powder supply container for 3D printing includes, with a floor of the supply container at or near a top of the supply container, dispensing build material powder into a loading chamber surrounding the top of the supply container and on to the floor, compacting powder in the loading chamber, and lowering the floor with the compacted powder into the supply container.

A three-dimensional (3D) printer includes a nozzle and a camera configured to capture a real image or a real video of a liquid metal while the liquid metal is positioned at least partially within the nozzle. The 3D printer also includes a computing system configured to perform operations. The operations include generating a model of the liquid metal positioned at least partially within the nozzle. The operations also include generating a simulated image or a simulated video of the liquid metal positioned at least partially within the nozzle based at least partially upon the model. The operations also include generating a labeled dataset that comprises the simulated image or the simulated video and a first set of parameters. The operations also include reconstructing the liquid metal in the real image or the real video based at least partially upon the labeled dataset.

A three-dimensional (3D) printer includes a nozzle and a camera configured to capture a real image or a real video of a liquid metal while the liquid metal is positioned at least partially within the nozzle. The 3D printer also includes a computing system configured to perform operations. The operations include generating a model of the liquid metal positioned at least partially within the nozzle. The operations also include generating a simulated image or a simulated video of the liquid metal positioned at least partially within the nozzle based at least partially upon the model. The operations also include generating a labeled dataset that comprises the simulated image or the simulated video and a first set of parameters. The operations also include reconstructing the liquid metal in the real image or the real video based at least partially upon the labeled dataset.

Use of a sensor read out system with at least one fiber optical sensor, which is connected via at least one signal line to a processing unit as part of an additive manufacturing setup, for in situ and real time quality control of a running additive manufacturing process. Acoustic emission is measured via the at least one fiber optical sensor in form of fibers with Bragg grating, fibre interferometer or Fabry-Perot structure, followed by a signal transfer and an analysis of the measured signals in the processing unit, estimation of the sintering or melting process quality due to correlation between sintering or melting quality and measured acoustic emission signals and subsequent adaption of ion and electron beams, microwave or laser sintering or melting parameters of a ion and electron beams, microwave or laser electronics of the additive manufacturing setup in real times via a feedback loop as a result of the measured acoustic emission signals after interpretation with an algorithmic framework in the processing unit.

A nozzle according to one embodiment has an inner surface and an outer surface, and is provided with a first passage through which an energy ray passes, and a second passage that is provided between the inner surface and the outer surface, and through which powder and fluid pass. The second passage includes a second open end on one end thereof in a first direction. A first surface that is one of the inner surface and the outer surface includes a first edge on one end thereof in the first direction. A second surface that is the other one of those includes a second edge on one end thereof in the first direction, and is distanced from the first edge toward the first direction. The fluid ejected from the second open end flows along the second surface, and separates at the second edge.

A system and method of monitoring a powder-bed additive manufacturing process using a plurality of energy sources is provided. A layer of additive powder is deposited on a powder bed and is fused using a first energy source, a second energy source, or any other suitable number of energy sources. The electromagnetic energy emissions at a first melt pool are monitored by a melt pool monitoring system and recorded as raw emission signals. The melt pool monitoring system may also monitor emissions from the powder bed using off-axis sensors or from a second melt pool using on-axis sensors, and these emissions may be used to modify the raw emission signals to generate compensated emission signals. The compensated emission signals are analyzed to identify outlier emissions and an alert may be provided or a process adjustment may be made when outlier emissions exceed a predetermined signal threshold.

Methods and apparatus for two-dimensional and three-dimensional scanning path visualization are disclosed. An example apparatus includes a parameter determiner to determine at least one of a laser beam parameter setting or an electron beam parameter setting, a melt pool geometry determiner to identify melt pool dimensions using the parameter setting, the melt pool geometry determiner to vary the parameter setting to obtain multiple melt pool dimensions, and a visualization path generator to generate a three-dimensional view of a scanning path for an additive manufacturing process using the identified melt pool dimensions. The visualization path generator adjusts the laser beam parameters based on the generated three-dimensional view.

Calibration systems, additive manufacturing systems employing the same, and methods of calibrating include a plurality of electron beam guns. One calibration system includes an imaging device positioned to capture one or more images of an impingement of electron beams emitted from the plurality of electron beam guns on a surface within a build chamber of the electron beam additive manufacturing system and an analysis component communicatively coupled to the imaging device. The analysis component is programmed to receive image data corresponding to the one or more images, determine one or more calibration parameters from the image data, and transmit one or more instructions to the plurality of electron beam guns in accordance with the one or more calibration parameters.

Calibration systems, additive manufacturing systems employing the same, and methods of calibrating include a plurality of electron beam guns. One calibration system includes an imaging device positioned to capture one or more images of an impingement of electron beams emitted from the plurality of electron beam guns on a surface within a build chamber of the electron beam additive manufacturing system and an analysis component communicatively coupled to the imaging device. The analysis component is programmed to receive image data corresponding to the one or more images, determine one or more calibration parameters from the image data, and transmit one or more instructions to the plurality of electron beam guns in accordance with the one or more calibration parameters.