Abstract: Examples of methods for object manufacturing visualization by an electronic device are described herein. In some examples, a predicted thermal image of additive manufacturing is determined using a machine learning model. In some examples, a captured thermal image is obtained. In some examples, a graphical overlay of the predicted thermal image with the captured thermal image is presented.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that when executed by the processor are to cause the processor to access a reduced resolution three-dimensional (3D) model file of an object to be built in a build bed of a 3D printing system, the reduced resolution 3D model file comprising a reduced resolution file of a first resolution 3D model file of the object. The instructions may also cause the processor to determine a packing arrangement for the object and a plurality of other objects to be built in the build bed through use of the reduced resolution 3D model file and output the determined packing arrangement for the 3D printing system to print the object and the other objects.

Abstract: Examples include apparatuses, processes, and methods for generating three-dimensional objects. An example apparatus comprises build material distributor and a controller. Examples distribute a particular build layer in a build area of the apparatus over a previous build layer. Examples determine a build layer temperature corresponding to the particular build layer. Examples analyze build layer coverage for the particular build layer based at least in part on a build layer temperature of the previous build layer and the build layer temperature of the particular build layer. Examples selectively recoat the particular build layer with additional build material based at least in part on the build layer coverage for the particular build layer.

Abstract: Examples include apparatuses, processes, and methods for generating three-dimensional objects. An example apparatus comprises build material distributor and a controller. Examples distribute a particular build layer in a build area of the apparatus over a previous build layer. Examples determine a build layer temperature corresponding to the particular build layer. Examples analyze build layer coverage for the particular build layer based at least in part on a build layer temperature of the previous build layer and the build layer temperature of the particular build layer. Examples selectively recoat the particular build layer with additional build material based at least in part on the build layer coverage for the particular build layer.

Abstract: An image processing system acquires a first three-dimensional model of an object. The image processing system includes a processor and storage medium encoded with instructions executable by the processor. The instructions include instructions to define a material potential function for a material. The material potential function is a function of a three-dimensional origin point of the material in the object, a three-dimensional propagation limit of the material in the object, and a three-dimensional propagation function of the material in the object. The instructions include instructions to generate a second three-dimensional model of the object based in part on the material potential function and the first model. The second model illustrates propagation of the material through an interior volume of the object at a unit level. A controller generates control signals based on the second model, and a fluid ejection engine performs an additive manufacturing process based on the control signals.

Abstract: A method of manufacturing an object via three-dimensional printing is disclosed. Data regarding the object is received. The object is three-dimensionally printed from the data. A wrapper is also three-dimensionally printed from the data. The wrapper encloses the object and includes information regarding the object.

Abstract: According to examples, a three-dimensional (3D) fabrication system may include fabrication components and a controller. The controller may control the fabrication components to fabricate parts of a 3D object in a build envelope, the parts to be assembled together to form the object, and in which the parts are fabricated at locations corresponding to relative positions of the parts with respect to each other in the assembled object. The controller may also control the fabrication components to fabricate a cage around the parts in the build envelope.

Abstract: According to one aspect there is provided a three-dimensional printer. The printer comprises a controller to obtain data relating to a layer of a build model, to process non-empty layers according to a first operating mode and to process empty layers according to a second operating mode.

Abstract: Examples disclosed herein relate to selecting a 3D printing parameter based on voxel property association and conflict resolution. In one implementation, a processor assigns properties to a voxel of a 3D print object based on a first and second zone including the voxel and a condition of a first property associated with the first zone and a condition of a second property associated with the second zone. The processor may update the assigned properties to resolve conflicts between the properties and select a 3D printing parameter based on the assigned properties.

Abstract: Apparatus, computer readable medium, or method to determine a layer volume change in a processed layer of powder, and distribute an additional amount of powder in a subsequent layer based on the determined layer volume change.

Abstract: Apparatus, computer readable medium, or method to determine a layer volume change in a processed layer of powder, and distribute an additional amount of powder in a subsequent layer based on the determined layer volume change.

Abstract: An example technique for creating a voxel representation of a three dimensional (3-D) object can include obtaining a shape specification of a 3-D object and a number of 3-D objectives. The example technique for creating a voxel representation of the 3-D object can also include creating a voxel representation of the 3-D object by assigning a material type from a number of material types to each voxel of the voxel representation that defines the 3-D object. The example technique creating a voxel representation of a 3-D object can also include evaluating the voxel representation to determine whether the number of objectives are met.

Abstract: Examples of methods for object manufacturing visualization by an electronic device are described herein. In some examples, a predicted thermal image of additive manufacturing is determined using a machine learning model. In some examples, a captured thermal image is obtained. In some examples, a graphical overlay of the predicted thermal image with the captured thermal image is presented.

Abstract: In one example, a control process for additive manufacturing includes: forming an extent of unfused build material on a support; applying a coolant to unfused build material within the extent of unfused build material in a pattern of spots; capturing a thermal image of the extent of unfused build material with a thermal imaging device; mapping a pixel location in the thermal image to a physical location for each of multiple spots in the pattern; and based on the mapping, establishing a transform between pixels on the thermal imaging device and physical locations on the support.

Abstract: A method is described in which a 3D printing file is processed, the 3D printing file having a header and including a plurality of compressed files. The method comprises reading a content of the header of the 3D printing file, identifying, based on the header content, a relation file among the plurality of compressed files, identifying, based on the relation file, a main 3D model file among the plurality of compressed files. Further the method comprises creating, by uncompressing the main 3D model file, a data stream, and analyzing, with a parser, the data stream, thereby directly processing the main 3D model file when being uncompressed.

Abstract: A method comprises determining an amount of print materials consumed in at least part of a build job comprising a plurality of objects, and distributing the amount of print materials consumed on an object by object basis to the plurality of objects forming the build job.

Abstract: According to examples, a three-dimensional (3D) fabrication system may include fabrication components and a controller. The controller may control the fabrication components to fabricate parts of a 3D object in a build envelope, the parts to be assembled together to form the object, and in which the parts are fabricated at locations corresponding to relative positions of the parts with respect to each other in the assembled object. The controller may also control the fabrication components to fabricate a cage around the parts in the build envelope.

Abstract: According to an example, a processing device may slice a 3D model along a first direction to generate a plurality of layers in parallel planes defined across a second direction and a third direction, in which each of the plurality of layers is composed of respective polygons representing portions of the 3D model. The plurality of layers may be partitioned into a plurality of stacked boxes containing the respective polygons and for each stacked box of the plurality of stacked boxes, the polygons in the stacked box may be assembled into a superset polygon and the superset polygon may be partitioned into bounding shapes. A shape profile of the 3D object may be generated using the bounding shapes.

Abstract: Apparatus, computer readable medium, or method to determine a layer volume change in a processed layer of powder, and distribute an additional amount of powder in a subsequent layer based on the determined layer volume change.

Abstract: In an example, a method includes receiving a first data model of an object to be generated in additive manufacturing, at a processor. Using the processor, a second data model may be determined. Determining the second data model may include generating for each of plurality of contiguous, non-overlapping sub-volumes of a volume containing the object, a sub-volume octree characterising the sub-volume and having a root node. Determining the second data model may further include generating a volume octree characterising the volume containing the object, the volume octree characterising in its lowest nodes the root nodes of the sub-volume octrees.