A method of additively manufacturing includes generating a thermal model driven scan map that identifies an equiaxed cap region, a single crystal (SX) region, and a columnar to equiaxed transition (CET) region; and forming an active melt pool with respect to the thermal model driven scan map such that a depth of the active melt pool is greater than a thickness of the equiaxed transition (CET) region.

The biocompatible lattice structures and implants disclosed herein have an increased or optimized lucency, even when constructed from a metallic material. The lattice structures can also provide an increased or optimized lucency in a material that is not generally considered to be radiolucent. Lucency can include disparity, maximum variation in lucency properties across a structure, or dispersion, minimum variation in lucency properties across a structure. The implants and lattice structures disclosed herein may be optimized for disparity or dispersion in any desired direction. A desired direction with respect to lucency can include the anticipated x-ray viewing direction of an implant in the expected implantation orientation.

An apparatus for manufacturing a three dimensional shaped object includes: a manufacturing unit that manufactures a three dimensional shaped object in which a plurality of solidified layers are built up together by repeating to manufacture a solidified layer, which is layered, by performing solidification processing upon a material that is positioned in a region set according to a shape of the three dimensional shaped object that is to be manufactured, to supply a new material upon an upper portion of the solidified layer that has been manufactured, to perform the solidification processing upon the new material and thus to manufacture a new solidified layer; and an inspecting unit that inspects the solidified layer that has already been built up, while the plurality of solidified layers are being built up together.

An apparatus for producing a three-dimensional work piece is provided. The apparatus comprises an irradiation unit comprising at least one scanning unit configured to scan a radiation beam over an uppermost layer of raw material powder to predetermined sites of the uppermost layer of the raw material powder in order to solidify the raw material powder at the predetermined sites. An axis corresponding to the radiation beam when it impinges on the uppermost layer of raw material powder at an angle of 90° is defined as a central axis for the scanning unit. The apparatus further comprises a control unit configured to receive work piece data indicative of at least one layer of the three-dimensional work piece to be produced, and assign at least a part of a contour of the layer of the three-dimensional work piece to the at least one scanning unit. According to a first aspect, the control unit is configured to generate control data for controlling the irradiation unit, the control data defining a scan strategy of the radiation beam such that for more than 50% of a predefined length, the radiation beam moves away from the central axis, the predefined length being defined as a length the radiation beam moves along the contour assigned to the at least one scanning unit, excluding sections concentric with regard to the central axis. Further, corresponding methods and computer program products are provided.

According to an example, a device comprises a sidewall and a base. The sidewall and the base define a chamber for receipt of a volume of build material comprising loose build material and a solid object generated from the build material in an additive manufacturing process. The base is not permeable to build material but permeable to a gas to allow an influx of a gas into the chamber to fluidize loose build material around the solid object in the volume of build material in the chamber to facilitate the removal of the solid object from the loose build material.

A method for training a machine learning engine for modeling of a physical system includes receiving process data representing measurements of a physical system. The method includes applying a transform to values of the at least two variables of the process data to generate a dimensionless parameter having a parameter value corresponding to each measurement of the physical system for the at least two variables. The method includes training the machine learning engine using a set of generated training data including the non-dimensionalized parameter, to output a prediction of a value of a physical effect of the physical system for values of the variables that are not included in the process data. The method includes controlling an additive manufacturing process for the material by setting the at least one physical property to the value of the at least one process variable during fabrication of a part.

Embodiments of the systems can be configured to receive electromagnetic emissions of a substrate (e.g., a build material of a part being made via additive manufacturing) by a detector (e.g., a multi-spectral sensor) and generate a ratio of the electromagnetic emissions to perform spectral analysis with a reduced dependence on location and orientation of a surface of the substrate relative to the multi-spectral sensor. The additive manufacturing process can involve use of a laser to generate a laser beam for fusion of the build material into the part. The system can be configured to set the multi-spectral sensor off-axis with respect to the laser (e.g., an optical path of the multi-spectral sensor is at an angle that is different than the angle of incidence of the laser beam). This can allow the multi-spectral sensor to collect spectral data simultaneously as the laser is used to build the part.

An additive manufacturing path generation apparatus includes: a formation path generation unit that divides an additive manufacturing object into layers that are units of formation of the additive manufacturing object such that a formation height of a bead that forms the layers does not exceed an upper limit and generates formation paths that are paths for formation of the divided layers from layer definition information and a formation path surface, the layer definition information defining division of the additive manufacturing object into the layers, the formation path surface being a surface restricting positions of the formation paths; and a formation path correction unit that corrects the formation paths to a formation path that causes a plurality of layers to be partially formed in a collective manner while maintaining the formation height within a range between the upper limit and a lower limit.

A 3D item formed on a base having a cavity or void to form an anchor. An extruded filament of a heated material is first deposited into the cavity at a high temperature and high flow rate such that the material flows easier and fills the cavity and forms the anchor. After the cavity is filled such that the anchor is formed, the extrusion of the filament continues at a lower temperature and at a lower flow rate to form the 3D item upon the anchor. The extruded filament in the cavity and the 3D item are a unitary item.

A 3D item formed on a base having a cavity or void to form an anchor. An extruded filament of a heated material is first deposited into the cavity at a high temperature and high flow rate such that the material flows easier and fills the cavity and forms the anchor. After the cavity is filled such that the anchor is formed, the extrusion of the filament continues at a lower temperature and at a lower flow rate to form the 3D item upon the anchor. The extruded filament in the cavity and the 3D item are a unitary item.