Abstract:
According to examples, an apparatus includes a processor and a memory on which is stored machine readable instructions. The instructions may cause the processor to identify an intended surface property level for a surface of a three-dimensional (3D) object, determine an amount of radiation to be applied as a flash of radiation onto the surface to obtain the intended surface property level, and output the determined amount of radiation to be applied as a flash of radiation, in which a radiation source is to flash apply the determined amount of radiation onto the surface of the 3D object.
Abstract:
In an example, a processing apparatus includes an interface to receive data representing a three-dimensional object. The data includes an object description comprising object property data. The processing apparatus comprises a mapping module to map the object description to an object generation description which includes at least one print material instruction associated with a predetermined combination of print materials from a set of print materials. The mapping module includes a plurality of mapping resources and each mapping resource associates combinations of print materials from the set of print materials with values of at least one object property. At least one object property of one mapping resource is different to at least one object property of another mapping resource. The processing apparatus also includes a selection module to select, for at least part of the object, one of the plurality of mapping resources to carry out mapping of the object description.
Abstract:
An agent distributor may be to selectively deliver agent at a first contone density and at a second contone density different from the first contone density respectively onto an interior portion and a surface portion of successive layers of build material in respective first and second patterns in accordance with data representing a threedimensional object to be generated, so that the build material is to solidify to form slices of the three-dimensional object in accordance with the first and second patterns, and so that the three-dimensional object is to achieve a target surface roughness as a result of the second contone density of the second pattern.
Abstract:
In an example, a method includes receiving object model data describing at least a portion of an object to be generated by additive manufacturing. Object generation instructions for generating the object in its entirety may be derived based on the object model data. Where it is determined that the object model data comprises a data deficiency for deriving the object generation instructions, at least one attribute for the object may be inferred and object generation instructions may be derived based on the object model data and the inferred attribute.
Abstract:
Examples analyze three-dimensional printing specifications associated with a three-dimensional printing device to determine test angles for a test object and test surfaces corresponding to the test angles for the test object. Examples generate the test object for color calibration for the three-dimensional printing device based at least in part on the test angles and test surfaces that are configured with at least one test color.
Abstract:
In an example, a method includes determining an additive manufacturing process instruction, the additive manufacturing process instruction comprising an instruction specifying a coverage of a set of print agents comprising a fusing agent and a colorant to be applied to build material. A color and a behavioural property of carrying out an additive manufacturing process according to the additive manufacturing process instruction may be determined and, in response to a determination that the behavioural property meets predetermined parameters, the instruction and the color may be added to a color mapping resource.
Abstract:
According to an example, an apparatus may include an agent delivery device to selectively deliver an agent onto a layer of build material particles. The apparatus may also include an energy source to apply energy onto the layer of build material particles to selectively fuse the build material particles in the layer based upon the locations at which the agent was delivered and a chamber formed of a plurality of walls, in which the agent delivery device and the energy source are housed inside the chamber. The apparatus may further include a vapor source to supply vapor into the chamber to wet the build material particles inside the chamber.
Abstract:
A computer readable memory having machine readable instructions can comprise a QR code service to generate a two-dimensional barcode. The two-dimensional barcode can comprise a plurality of level identifiers wherein each of the plurality of level identifiers correspond to a hierarchical level in an organization. The two-dimensional barcode can also comprise an affiliate identifier, wherein the affiliate identifier corresponds to an affiliate at a lowest level of the plurality of level identifiers. The machine readable instructions can also comprise a source tracker to store a tracking history based on activity initiated by a scanning of the two-dimensional barcode. The machine readable instructions can further comprise an analytics system to provide analytics to a client associated with an affiliate at a given level, wherein the analytics comprise analytical information based on the tracking history for an affiliate below the given level.
Abstract:
One example discloses a system comprising a memory for storing machine readable instructions and a processing unit for accessing the memory and executing the machine readable instructions. The machine readable instructions can comprise a print order hub comprising an arrival time estimator to estimate an arrival timeframe for material provided from a print service provider (PSP). The material corresponds to a print order based on historical data related to a plurality of prior print orders, a delivery address of the print order and a job type corresponding to the print order.