A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

Methods for direct writing of single crystal super alloys and metals are provided. The method can include: heating a substrate positioned on a base plate to a predetermined temperature using a first heater; using a laser to form a melt pool on a surface of the substrate; introducing a superalloy powder to the melt pool; measuring the temperature of the melt pool; receiving the temperature measured at a controller; and using an auxiliary heat source in communication with the controller to adjust the temperature of the melt pool. The predetermined temperature is below the substrate's melting point. The laser and the base plate are movable relative to each other, with the laser being used for direct metal deposition. An apparatus is also generally provided for direct writing of single crystal super alloys and metals.

A method and apparatus for identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure. Pyrometry data comprising images of the layers acquired during additive manufacturing of the structure is received. The pyrometry data is used to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers. The temperature data is used to identify shapes fit to high temperature areas in the images of the layers. Conditions of the shapes fit to the high temperature areas in the images of the layers are identified. Outlier shapes are identified in the shapes fit to the high temperature areas in the images of the layers using the conditions of the shapes.

Devices, systems, and methods for monitoring a powder layer in additive manufacturing are disclosed. A method of monitoring a powder layer includes receiving image data corresponding the powder layer supported by a powder bed within a build chamber from imaging devices, determining leading and trailing regions of interest located adjacent to a leading end and a trailing end of the moving powder distributor, respectively, the leading and trailing regions of interest moving according to movement of the moving powder distributor, selecting at least one point located in the leading region of interest from the image data, determining first characteristics of the point, when the point is located within the trailing region of interest, determining second characteristics of the point, and comparing the first characteristics to the second characteristics.

The invention refers to a deflection module comprising a first deflection unit (10a) comprising a first scanning device (12a) for scanning a first working beam (50a) over a first working field and (40a) and a second deflection unit (10b) comprising a second scanning device (12b) for scanning a second working beam (50b) over a second working field (40b). At least a movable mirror (12a-2) of the first scanning device (12a) and at least a movable mirror (12b-2) of the second scanning device (12b) are arranged mirror-symmetrically with respect to each other. The first working field (40a) and the second working field (40b) overlap in a common overlap area (42).

The invention refers to a deflection module comprising a first deflection unit (10a) comprising a first scanning device (12a) for scanning a first working beam (50a) over a first working field and (40a) and a second deflection unit (10b) comprising a second scanning device (12b) for scanning a second working beam (50b) over a second working field (40b). At least a movable mirror (12a-2) of the first scanning device (12a) and at least a movable mirror (12b-2) of the second scanning device (12b) are arranged mirror-symmetrically with respect to each other. The first working field (40a) and the second working field (40b) overlap in a common overlap area (42).

An apparatus for the layer-by-layer formation of three-dimensional objects, the apparatus comprising a gas extraction system and an enclosed working space from which gas is to be extracted, wherein the working space is enclosed by side walls, a ceiling and a working surface, and comprises a working space inlet for allowing gas to enter into the working space, a working space outlet for allowing gas to exit the working space, and a build bed surface in which a layer of the object is formed; wherein the gas extraction system comprises: a primary conduit comprising at least a first primary inlet, at least a first interfacing inlet, and a primary outlet; and at least a first secondary conduit comprising a respective first secondary inlet and a respective first secondary outlet, the first secondary inlet being in fluidic communication with the working space for extracting gas from the working space, and the first secondary outlet being in fluidic communication with the first interfacing inlet; wherein the or each primary inlet is open to an environment external to the working space, and wherein the primary outlet is connectable to an external extraction source so as to suction gas from the primary conduit; and wherein the gas extraction system further comprises one or more flow control devices for controlling the flow of gas from the working space into the first secondary conduit, and thence into the primary outlet of the primary conduit. Methods for operating the apparatus, and a controller for controlling the apparatus and carrying out the methods, are also provided.

We describe a system for simulating process monitoring by a sensor system in an additive layer manufacturing, in particular selective laser melting, process used to solidify material from which a three-dimensional workpiece is to be produced, wherein the system comprises: a data input coupleable to a data output of the sensor system and configured to receive, from the sensor system, sensor data relating to the process monitored by the sensor system, wherein the data input is further configured to receive one or more input parameters (i) relating to the additive layer manufacturing process and/or (ii) associated with an additive layer manufacturing apparatus used for the additive layer manufacturing process and/or (iii) associated with the process monitoring and/or the sensor system; and a processing unit coupled to the data input and configured to generate, from the sensor data and the one or more input parameters, a model for simulating said process monitoring.

In one example in accordance with the present disclosure, a method is described. The example method determining parameters for a pulsed laser to generate a melt pool pattern in a three-dimensional (3D) object to produce different phases in the 3D object that vary according to the melt pool pattern. The example method also includes controlling the pulsed laser to form the 3D object in an additive manufacturing process based on the determined parameters and the melt pool pattern.

In one example in accordance with the present disclosure, a method is described. The example method determining parameters for a pulsed laser to generate a melt pool pattern in a three-dimensional (3D) object to produce different phases in the 3D object that vary according to the melt pool pattern. The example method also includes controlling the pulsed laser to form the 3D object in an additive manufacturing process based on the determined parameters and the melt pool pattern.