公开(公告)号：US20180009170A1

公开(公告)日：2018-01-11

申请号：US15539321

申请日：2015-01-28

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Sebastia Cortes ,  Xavier Vilajosana ,  Jun Zeng

IPC: B29C64/393 ,  B22F3/105 ,  B28B1/00

CPC classification number: B29C64/393 ,  B22F3/1055 ,  B22F2003/1057 ,  B28B1/001 ,  B29C64/00 ,  B29C64/153 ,  B29C64/20 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

Abstract: A sensor may be to detect a property indicative of a print dead zone caused by a defect of build material to be used for generating the three-dimensional object or a malfunction of a heater that is to heat the build material, a build material distributor that is to provide the material, or a carriage. A processor may be to receive, from the sensor, dead zone data relating to the print dead zone, and to prevent the malfunction of the heater, the build material distributor, or the carriage, or to modify data representing the three-dimensional object to cause the three-dimensional object to be shifted such that three-dimensional object is to be printed outside the print dead zone.

公开(公告)号：US20170322758A1

公开(公告)日：2017-11-09

申请号：US15522724

申请日：2014-12-19

Applicant: HEWLETT- PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Sunil Kothari ,  Jun Zeng ,  Thomas J Peck ,  Michael L Reasoner ,  Gary J Dispoto ,  Francisco Jose Oblea Ramirez

IPC: G06F3/12 ,  G06F17/30

Abstract: Systems and methods associated with resource provisioning are disclosed. One example method includes dividing a set of printing resources into a first partition and a second partition. The example method also includes provisioning the first partition to handle print jobs from a print queue that have a specified attribute. The first partition may be provisioned when print jobs having the specified attribute exceed a first predefined threshold.

公开(公告)号：US20170220902A1

公开(公告)日：2017-08-03

申请号：US15500916

申请日：2014-07-31

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Nathan Moroney ,  Jun Zeng

IPC: G06K9/62 ,  G06K9/46

CPC classification number: G06K9/6224 ,  G06K9/4638 ,  G06T7/11 ,  G06T7/162

Abstract: Examples relate to providing spatial analysis using attribute graphs. In one examples, there are a number of spatial points that each represent characteristics in a dimensional space. Non-data points are generated in the dimensional space, and a Delaunay triangulation is performed using the spatial points and the non-data points to generate a plurality of edges, where interior points of the plurality of non-data points that are in an interior space of the plurality of spatial points are excluded from the Delaunay triangulation. Next, spatial edges from the plurality of edges that each connect a spatial point that is connected to a first mixed edge to another spatial point that is connected to a second mixed edge are identified, where the spatial edges are used to generate a robust contour of a cluster of the spatial points.

公开(公告)号：US12229890B2

公开(公告)日：2025-02-18

申请号：US17792674

申请日：2020-01-31

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： He Luan ,  Juan Carlos Catana Salazar ,  Jun Zeng

IPC: G06T17/10 ,  G06T7/149

Abstract: Examples of methods for model prediction are described herein. In some examples, a method includes predicting a compensated model. In some examples, the compensated model is predicted based on a three-dimensional (3D) object model. In some examples, a method includes predicting a deformed model. In some examples, the deformed mode is predicted based on the compensated model.

公开(公告)号：US11738516B2

公开(公告)日：2023-08-29

申请号：US16963318

申请日：2018-03-14

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jordi Roca ,  Jun Zeng

IPC: B29C64/393 ,  G06N20/00 ,  G06N3/08 ,  G06T19/00 ,  B33Y50/00

CPC classification number: B29C64/393 ,  G06N3/08 ,  G06N20/00 ,  G06T19/00 ,  B33Y50/00

Abstract: Examples of the present disclosure relate to a method for processing three dimensional (3D) models. The method comprises categorizing the 3D models into geometrical characteristic categories, creating a geometrical template corresponding to each category, determining a label placement for each geometrical template, assigning a label to each 3D model based on the determined label placement and assigning a packing position to the 3D models based on their corresponding template. The method is such that some categories comprise more than one 3D model.

公开(公告)号：US11726449B2

公开(公告)日：2023-08-15

申请号：US16606967

申请日：2018-02-19

Applicant: INSTITUTO ATLANTICO ,  HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Marcelo Aita Riss ,  Thiago Barbosa Lima De Moura ,  Alyne Gomes Soares Cantal ,  Ana Patricia Del Angel ,  Jun Zeng ,  Scott A White ,  Sebastia Cortes i Herms

IPC: G05B19/4099 ,  G06T15/00

CPC classification number: G05B19/4099 ,  G06T15/00 ,  G05B2219/49023

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.

公开(公告)号：US20230226768A1

公开(公告)日：2023-07-20

申请号：US17576286

申请日：2022-01-14

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Sunil Kothari ,  Jacob Tyler Wright ,  Maria Fabiola Leyva Mendivil ,  Jun Zeng

IPC: B29C64/393 ,  G06T3/40

CPC classification number: B29C64/393 ,  G06T3/4046 ,  B33Y50/02

Abstract: Examples of methods are described. In some examples, a method includes generating, using a first branch of a machine learning model, a first agent map based on a layer image. In some examples, the method includes generating, using a second branch of the machine learning model, a second agent map. In some examples, the first agent map and the second agent map indicate printing locations for different agents.

公开(公告)号：US20230186524A1

公开(公告)日：2023-06-15

申请号：US17552219

申请日：2021-12-15

Applicant: Hewlett-Packard Development Company, L.P. ,  Instituto Atlantico

Inventor： Juan Carlos Catana Salazar ,  Marco Antonio Medrano Acosta ,  Alyne Gomes Soares Cantal ,  Jun Zeng

IPC: G06T9/00 ,  G06T17/00

CPC classification number: G06T9/001 ,  G06T17/005

Abstract: Examples of methods are described herein. In some examples, a method includes determining a quantity of inner voxels in a canonical direction from each surface voxel of a set of surface voxels of a three-dimensional (3D) object model. In some examples, the method includes generating an encoded representation of the 3D object model, the encoded representation indicating a location of each surface voxel and the quantity of inner voxels for each surface voxel.

公开(公告)号：US20230173746A1

公开(公告)日：2023-06-08

申请号：US17544541

申请日：2021-12-07

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Wei Huang ,  Jun Zeng

IPC: B29C64/141 ,  B33Y10/00 ,  B33Y80/00

CPC classification number: B29C64/141 ,  B33Y10/00 ,  B33Y80/00

Abstract: Examples of methods are described. In some examples, a method may include printing a first solid material phase region. In some examples, the method may include printing a second solid material phase region distanced from the first solid material phase region. In some examples, the method may include printing a plurality of distanced beams, each having a thickness that is not more than one millimeter, to form a weak material phase region between the first solid material phase region and the second solid material phase region. In some examples, the weak material phase region has a volumetric density less than one.

公开(公告)号：US20230051704A1

公开(公告)日：2023-02-16

申请号：US17792680

申请日：2020-01-31

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： He Luan ,  Juan Carlos Catana Salazar ,  Jun Zeng

IPC: B29C64/386

Abstract: Examples of methods for predicting object deformations are described herein. In some examples, a method includes predicting a point cloud. In some examples, the predicted point cloud indicates a predicted object deformation. In some examples, the point cloud may be predicted using a machine learning model and edges determined from an input point cloud.