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公开(公告)号：US11878464B2
公开(公告)日：2024-01-23
申请号：US17047303
申请日：2018-08-10
Applicant: Hewlett-Packard Development Company, L.P.
IPC: B33Y50/02 , B29C64/20 , G06N3/08 , B22F10/85 , G06N3/044 , G06N3/045 , G06F30/27 , B22F10/20 , B29C64/393
CPC classification number: B29C64/20 , B22F10/85 , B33Y50/02 , G06F30/27 , G06N3/044 , G06N3/045 , G06N3/08 , B22F10/20 , B29C64/393
Abstract: A system includes a machine readable storage medium storing instructions and a processor. The processor is to execute instructions to receive contone agent maps of a three-dimensional (3D) part and sensed thermal maps from the 3D printing of the 3D part on a 3D printer. The processor is to execute instructions to generate layer sequences including the contone agent maps and the sensed thermal map for each layer of the 3D part. The processor is to execute instructions to select training samples from the layer sequences having temperature intensity variations within each layer or between neighboring layers. The processor is to execute instructions to train a neural network using the training samples to generate a model to predict thermal behavior in the 3D printer.
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公开(公告)号：US11872765B2
公开(公告)日：2024-01-16
申请号：US17252318
申请日：2019-03-29
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： David James Tucker , David Woodlock , Jun Zeng , Michelle Lynn Bockman
IPC: B29C64/386 , B33Y50/00 , G06F30/10 , G06F119/08 , G06F119/18
CPC classification number: B29C64/386 , B33Y50/00 , G06F30/10 , G06F2119/18
Abstract: An example of an apparatus is provided. The apparatus includes an input device to receive design data. The design data includes information about a geometry and load characteristics of an object. The apparatus further includes a structural design engine to generate print data to print the object on a three-dimensional printer based on the design data. The apparatus also includes a fluid design engine to generate fluidic data. The fluidic data represents a fluid channel within the object. In addition, the apparatus includes an output engine to generate an output file based on the print data and the fluidic data.
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公开(公告)号：US20230359169A1
公开(公告)日：2023-11-09
申请号：US18029217
申请日：2020-09-29
Inventor： Scott Alan WHITE , Alyne GOMES SOARES CANTAL , Juan Carlos CATANA SALAZAR , Jun Zeng
IPC: G05B19/4099
CPC classification number: G05B19/4099 , G05B2219/49023
Abstract: An example non-transitory computer-readable medium includes instructions that, when executed by a processor, cause the processor to retrieve a plurality of parts to be three-dimensionally (3D) printed and an output rate indicative of a rate at which previous 3D printed parts have been output, select a packing parameter that results in a packing time corresponding to the output rate, and compute a part packing of the plurality of parts for a print bed according to the packing parameter.
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公开(公告)号：US20230288910A1
公开(公告)日：2023-09-14
申请号：US18017288
申请日：2020-07-29
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Lei Chen , Maria Fabiola Leyva Mendivil , Jun Zeng
IPC: G05B19/4099 , B33Y50/00 , B22F10/85
CPC classification number: G05B19/4099 , B33Y50/00 , B22F10/85 , G05B2219/49023
Abstract: Examples of methods for thermal image determination are described. In some examples, a method may include determining, using a first machine learning model, a first thermal image of a first layer of additive manufacturing. In some examples, the method may include determining, using a second machine learning model, a second thermal image of a second layer based on a simulated thermal image. The second thermal image may have a second resolution that is greater than a first resolution of the simulated thermal image in some examples. In some examples, the method may include determining, using a third machine learning model, a third thermal image based on the first thermal image and the second thermal image.
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公开(公告)号：US11565473B2
公开(公告)日：2023-01-31
申请号：US16615612
申请日：2017-07-26
Inventor： Marcelo Riss , Jamie Machado Neto , Victor Praxedes , Ana Patricia Del Angel , Adriana Fontenele , Thiago Moura , Jun Zeng , Scott White , Sebastia Cortes i Herms
IPC: B29C64/393 , B33Y30/00 , B33Y50/02
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.
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Patent Agency Ranking
公开(公告)号：US20220388070A1
公开(公告)日：2022-12-08
申请号：US17774800
申请日：2019-12-05
Applicant: Hewlett-Packard Development Company, L.P.
Abstract: Examples of methods for predicting porosity are described herein. In some examples, a method includes predicting a height map. In some examples, the height map is of material for metal printing. In some examples, the method includes predicting a porosity of a precursor object. In some examples, predicting the porosity of the precursor object is based on the predicted height map.
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公开(公告)号：US11340597B2
公开(公告)日：2022-05-24
申请号：US16978227
申请日：2018-04-27
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Jun Zeng , Juan Carlos Catana , Sam A. Stodder
IPC: G05B19/418 , B33Y50/00 , B29C64/386 , G06Q10/06
Abstract: 3-D printing batch analysis is disclosed. A disclosed example apparatus includes a processor to generate a plurality of batches, wherein each of the batches represent an arrangement of a plurality of parts to be printed in a volume, discretize the batches into slices, and determine risk values of the slices based on the respective geometric primitives. The processor is to also determine aggregate risk values corresponding to the batches based on the risk values of the slices of the respective batches, and select a batch of the plurality of batches based on the aggregate risk values. The example apparatus also includes a printer to print the selected batch in the volume.
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公开(公告)号：US11335074B2
公开(公告)日：2022-05-17
申请号：US16345853
申请日：2016-12-19
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Ning Ge , Steven J. Simske , Chandrakant Patel , Jun Zeng , Paul J. Benning , Lihua Zhao
IPC: G05B19/4099 , G06T19/20 , B29C64/147 , G06T17/05 , B29C64/386
Abstract: According to an example, an apparatus may include a memory that may store instructions to cause a processor to generate, for each part to be fabricated in a build envelope of a 3D fabricating device, first level descriptions and second level descriptions for the part. The processor may determine, using the first level descriptions, whether there is an arrangement that results in the parts jointly fitting within the build envelope while providing certain thermal decoupling spaces between the parts. In response to a determination that the arrangement using the first level descriptions for the parts has not been determined, the processor may determine, using the second level descriptions, whether there is an arrangement that results in the parts jointly fitting within the build envelope while providing the certain thermal decoupling spaces.
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公开(公告)号：US20220088879A1
公开(公告)日：2022-03-24
申请号：US17420029
申请日：2019-01-23
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Sunil Kothari , Tod Heiles , Juan Carlos Catana Salazar , Jun Zeng , Gary J. Dispoto
IPC: B29C64/393 , B29C64/188 , B29C64/165 , G06N3/08 , B33Y50/02 , B33Y40/20
Abstract: Systems and methods of predicting temperature during a build of a three-dimensional (3D) part include determining a temperature profile at a plurality of layers of a part based on geometric characteristics of the 3D part as defined by a 3D part file, and adjusting a process parameter of the build based on the determined temperature.
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公开(公告)号：US20220088878A1
公开(公告)日：2022-03-24
申请号：US17415188
申请日：2019-06-11
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Jun Zeng , Carlos Alberto Lopez Collier de la Marliere , He Luan
IPC: B29C64/393 , B33Y50/02 , G06F30/27 , B22F12/90 , B22F10/85
Abstract: Examples of methods for adapting a simulation of three-dimensional (3D) manufacturing are described herein. In some examples, a method includes determining, using a machine learning model, a predicted thermal image based on a thermal imaging stream of 3D manufacturing. In some examples, a method includes adapting a simulation of the 3D manufacturing based on the predicted thermal image.
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