Hewlett-packard Development Company, L.p.

Instituto Atlantico

Other

Peridot Print LLC

Universidade Federal De Pernambuco-ufpe

Universidade Federal De Pernambuco

Scott A White

Jun Zeng

Sebastia Cortes I Herms

Ana Patricia Del Angel

Marcelo Aita Riss

Jan Morovic

Peter Morovic

Sebastia Cortes

Gary Joseph Dispoto

Juan Manuel Garcia Reyero Vinas

Alyne Gomes Soares Cantal

Pu Huang

Helen Balinsky

Matthew Allen Shepherd

Sergio Gonzalez

Veronica Teichrieb

Thiago Barbosa Lima De Moura

Diogo Henriques

Gustavo Charamba

Francisco Simoes

Silvio Melo

Thiago Chaves

Vinicius Castilho

Thiago Domingues

Walter Correia

Joao Teixeira

Alejandro Manuel De Pena

Nathan McPherson Moroney

Justin M Roman

Sergio Puigardeu Aramendia

Adrian John Baldwin

Jonathan Griffin

Salvador Sanchez Ribes

Ismael Chanclon Fernandez

Sergio Gonzalez Martin

Luis Garcia Garcia

Xavier Alonso Becerro

Samuel A Stodder

Glenn Thomas Haddick

Claude C White

Xavier Vilajosana

He Luan

Shivaun Albright

Jordi Roca Vila

Charles J Gazdik

Jordi Gonzalez Rogel

Carmen Blasco

Robert B Taylor

Barret Kammerzell

Phillip A Mccoog

Kristofer Erik Metz

Ji Won Jun

Brian Schmitz Tani

Josh Shepherd

Thiago Moura

André Silva

Nailson Boaz Costa Leite

Tanguy Delume

Gutenberg Barros

Adriana Fontenele

Victor Praxedes

Jamie Machado Neto

Thiago B Lima De Moura

John Pacella

Brian P Schmitz

Juan Manuel Garcia

Federico Martinez

Gutemberg Barros

Sebastia Cortes I Hermes

Systems and methods are described herein to determine positive or negative displacement distances for each pixel of an image of a graphical element. A displacement subsystem may determine surface displacement distances based on a function of a distance of each pixel to a nearest edge pixel of the image of the graphical element. A mapping subsystem may generate a surface displacement map of the graphical element to be applied to a surface of a three-dimensional object. The surface displacement map may be used to generate a mesh file and/or transmitted to a three-dimensional printing for printing on a surface of an object.

Graphical element surface displacements based on distance functions

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.

Object manufacturing visualization

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

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.

Packing arrangement determination for 3D printing of objects

An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a three-dimensional (3D) object representation and subdivide it into a triangular grid. Curved triangles may be calculated for triangles in the triangular grid. The triangles may be subdivided and differences calculated between corresponding sections of the curved triangles and the received 3D object representation.

Determination of vertices of triangular grids for three-dimensional object representations

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.

Propagation of a material through an interior volume of a three-dimensional object

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.

Three-dimensionally printed object

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.

3D object parts and cage fabrication

A controller-implemented method of controlling a three dimensional (3D) printing process, comprises presenting printing options () of the 3D printing process at a user interface (); accepting settings () from the user interface () based on the presented printing options (); determining a printing instruction () based on the settings (), the printing instruction () to be used to manufacture a three-dimensional (3D) object; and determining a post-processing instruction () based on the settings (), the post-processing instruction () to be used in post-processing the 3D object.

Additive manufacturing system and method for post-processing

In an example implementation, a method of compensating for dimensional variation in 3D printing includes receiving a 3D object model that represents a 3D part to be printed. The method also includes receiving a build material type and a position for printing the 3D part within a build volume. The method includes determining from the position, target subvolumes of the build volume into which the 3D part is to be printed, retrieving a dimensional compensation factor associated with each target subvolume, and then applying each dimensional compensation factor to the 3D object model to scale the 3D part according to the position of the 3D part within the build volume.

Compensating for dimensional variation in 3D printing

An example of a computer-readable medium is provided to store machine-readable instructions. The instructions may cause a processor to receive three-dimensional (3D) object representations of an object. The distance between points of a grid applied to 3D object representation and random points on the 3D object representation may provide a sampling error used in calculating a modeling accuracy between the 3D object representations.

Determination of modeling accuracy between three-dimensional object representations

Examples associated with digital composition hashing are described. One example method includes receiving a digital composition file from a user. The digital composition file may include a top-level design and a hierarchy of sub-level designs. A hashed structure may be generated from the digital composition file, where a node in the hashed structure for the first sub-level design is generated based on hashes of sub-level designs below the first sub-level design in the hierarchy. The hashed structure and a hash of the digital composition file are stored in association with the user.

Digital composition hashing

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.

3D print selection based on voxel property association and conflict resolution

One example of a method includes receiving a three-dimensional (3D) model of an object to be 3D printed and voxelizing the 3D model to define a plurality of voxel layers. Each voxel layer defines a plurality of voxel rows including an initial voxel row. The method includes for each voxel layer: exclusively oring (XORing) a key voxel row with the Initial voxel row to provide an initial delta row; and for each voxel row from the voxel row following the initial voxel row to a further voxel row of the plurality of voxel rows, XORing each voxel row with the previous voxel row to provide a delta row for each voxel row.

XOR processing of voxels of three-dimensional models

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.

Creating a voxel representation of a three dimensional (3-D) object

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Boise, ID, United States of America

Scott A White