Hewlett-Packard Development Company, L.p.

Jordi Gonzalez Rogel

Sergio Gonzalez Martin

Sergio Gonzalez

Lluis Abello Rosello

Alex Carruesco Llorens

Josep Giralt Adroher

Alvar Vinacua

Pere Brunet

Marc Comino

Matthew Allen Shepherd

Scott A White

Sebastia Cortes I Herms

Jordi Sanroma Garrit

Jordi Roca Vila

Sebastia Cortes Herms

Jordi Raventos Catasus

Roger Tarres Noguera

In an example, a method includes receiving, by at least one processor, object model data describing a geometry of at least part of at least one object to be generated using additive manufacturing. The object model data defines a first geometrical transformation to be applied to the object model data. It may be determined if a second geometrical transformation is to be applied to the object model data. If a second geometrical transformation is to be applied, the first and second geometrical transformations may be applied to the object model data to determine modified object model data. Otherwise, the first geometrical transformation may be applied to the object geometry to determine modified object model data.

Geometrical transformations in additive manufacturing

In some examples, a system receives a first representation of structures to be combined for building a three-dimensional (3D) object by an additive manufacturing machine; and generates, based on the first representation, a second representation comprising voxels that represent the 3D object, the generation of the second representation comprising an evaluation of Boolean operations with respect to voxels in a voxel space to produce the second representation.

Generation of representations of three-dimensional objects using Boolean operations

In an example, a method includes receiving, at a processor, an indication of a volume of a fabrication chamber and determining a characteristic of a build material for use in fabricating an object within the fabrication chamber. Based on the build material characteristic, a virtual object volume within the fabrication chamber may be determined, wherein the virtual object volume provides a virtual boundary within which to position virtual objects representing objects to be generated in the fabrication chamber.

Virtual object volumes

In an example, a method includes receiving, at a processor, object model data representing an object that is to be generated by an additive manufacturing apparatus by fusing build material within a fabrication chamber wherein a dimensional compensation has been applied to the object model data based on an expected object placement position. The method may comprise receiving, from the additive manufacturing apparatus, an indication of an object generation placement position within a fabrication chamber where the object is to be generated and comparing, by the processor, the expected object placement position with the object generation placement position. If the expected object placement position matches the object generation placement position, the method may comprise determining, by the processor, that the dimensional compensation is valid and otherwise determining, by the processor, that the dimensional compensation is invalid.

Validation of object model dimensions for additive manufacturing

An additive manufacturing apparatus includes an additive manufacturing engine and an input to receive a plurality of part files to create a plurality of parts. Each part file includes a description of a part to be created by the additive manufacturing engine. A processor interprets a part file to read the description of the part from the part file, stores at least a portion of the description of the part, and repeats the interpretation and storing for each of the received part files. A job composer generates a manufacturing job using the stored descriptions and using characteristics of the additive manufacturing engine, and provides the generated manufacturing job to the additive manufacturing engine.

Generating a manufacturing job

In an example, a method includes acquiring, at a processor, a first data model and a second data model. The first data model comprises a representation of at least one property of at least part of a first object and the second data model comprises a representation of at least one property of at least part of a second object. The first and second objects are to be generated in a common additive manufacturing operation. The method may include generating a first print layer model and a second, different, print layer model using the processor by combining at least parts of the first data model and the second data model and generating additive manufacturing instructions based on the first print layer model and the second print layer model.

Generating additive manufacturing instructions

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.

Sub-volume octrees

In an example, a method includes receiving, at a processor, data representing at least part of an object to be manufactured in a layer-by-layer manufacturing process. A serialised octree representation of at least part of the object may be generated from the data. In the serialised octree representation, nodes are ordered such that (i) a node representing a volume which includes a layer of the object to be generated earlier in an intended order of object generation precedes a node representing a volume which consists of layer(s) of the object to be generated subsequently; (ii) nodes representing a volume which includes a given layer of the object are ordered based on a level of the nodes within the octree representation, wherein parent nodes appear before descendent nodes; and (iii) nodes representing a volume which includes a given layer of the object and being of the same level within the octree representation are ordered according to a location encoding pattern.

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Sant Cugat del Valles, Spain

Jordi Gonzalez Rogel