Methods for joining components, and apparatuses comprising components to be joined, are described. An apparatus in accordance with an aspect of the present disclosure comprises a first component comprising a first feature having a first surface profile, and an additively-manufactured second component comprising a second feature having a second surface profile, wherein the second surface profile is generated at least in part from the first surface profile of the first interface, such that the first surface profile is configured to mate with the second surface profile.

A method for performing a thermal simulation of an additive manufacturing process that includes accessing a voxel model representing a representative system using one or more processors. The voxel model includes a first transition associated with a first group of one or more voxels transitioning between liquid and vapor, a second transition associated with a second group of one or more voxels transitioning between solid and liquid, a third transition associated with a third group of one or more voxels undergoing sinter, and a fourth transition associated with a fourth group of one or more voxels undergoing a solid state phase change. The method determines a flux imbalance metric based on a flux, a rate of change of the first transition, a rate of change of the second transition, a rate of change of the third transition, and a rate of change of the fourth transition. The method determines one or more temperatures for the representative system based on the flux imbalance metric.

A geometry model is defined of a part targeted for a manufacturing operation that includes an additive process followed by a subtractive process. Potential build orientations of the geometry model used in the additive processes are defined, as are one or more removal tools of the subtractive process. For each of the potential build orientations, supports that are used by the additive process at the orientation are determined. One of the build orientations is selected that minimizes portions of one of the supports that are inaccessible via at least one of the removal tools.

A geometry model is defined of a part targeted for a manufacturing operation that includes an additive process followed by a subtractive process. Potential build orientations of the geometry model used in the additive processes are defined, as are one or more removal tools of the subtractive process. For each of the potential build orientations, supports that are used by the additive process at the orientation are determined. One of the build orientations is selected that minimizes portions of one of the supports that are inaccessible via at least one of the removal tools.

A three-dimensional object model is divided into slices that are targeted for an additive manufacturing process operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes. For each of the slices, a thinning algorithm is applied to contours of the slice to form a meso-skeleton. Topological features of the thinned slice are reduced over a number of passes such that a portion of the meso-skeleton is reduced to a single pixel wide line. Based on the number of passes, a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes is determined. An adjusted slice is formed by sweeping the meso-skeleton with the slice-specific printable feature size. The adjusted slices are assembled into an object model which is used to create a manufactured object.

A method and an apparatus for collecting powder samples in real-time in powder bed fusion additive manufacturing may involves an ingester system for in-process collection and characterizations of powder samples. The collection may be performed periodically and uses the results of characterizations for adjustments in the powder bed fusion process. The ingester system of the present disclosure is capable of packaging powder samples collected in real-time into storage containers serving a multitude purposes of audit, process adjustments or actions.

An embodiment of a shutter assembly is described that comprises a support structure with a number of stations and operatively coupled to a motor configured to translate each of the stations to a position in front of a detector, wherein a first station comprises a first aperture, a first charged particle filter, and a first window; and a second station comprises a second aperture larger than the first aperture, a second charged particle filter, and a second window thinner than the first window.

An embodiment of a shutter assembly is described that comprises a support structure with a number of stations and operatively coupled to a motor configured to translate each of the stations to a position in front of a detector, wherein a first station comprises a first aperture, a first charged particle filter, and a first window; and a second station comprises a second aperture larger than the first aperture, a second charged particle filter, and a second window thinner than the first window.

An unpacking device (4) for unpacking an additively manufactured three-dimensional object (2) from the unsolidified construction material (3) surrounding it after completion of an additive construction process, wherein the unpacking device (4) is formed as a robot (7) having at least three robot axes (A1-A6), especially an industrial robot, wherein at least one unpacking tool (10) is arranged or formed on a robot axis (A6), which is provided for unpacking an additively manufactured three-dimensional object (2) from the unsolidified construction material (3) surrounding it after completion of an additive construction process, or the unpacking device (4) comprises at least one such robot (7).

Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.