公开(公告)号：US10983505B2

公开(公告)日：2021-04-20

申请号：US15824206

申请日：2017-11-28

Applicant: General Electric Company

Inventor： Subhrajit Roychowdhury ,  Brian McCarthy ,  Michael Tucker ,  David C Bogdan, Jr. ,  Michael Evans Graham ,  William Carter ,  Victor Ostroverkhov

IPC: G05B19/4099 ,  B33Y50/02

Abstract: Some embodiments facilitate creation of an industrial asset item via an additive manufacturing process wherein motion is provided between a build plate and a print arm. A correction engine may receive, from an industrial asset item definition data store containing at least one electronic record defining the industrial asset item, the data defining the industrial asset item. A correction engine computer processor may then correct the motion provided between the build plate and the print arm such that the motion deviates from a path indicated by the data defining the industrial asset item. The three-dimension printer may be a rotary printer such that the build plate rotates about a vertical axis and moves along the vertical axis during printing. In these cases, a pre-compensation algorithm may be applied to correct the motion provided between the build plate and the print arm before transmitting data to the three-dimensional additive manufacturing printer.

公开(公告)号：US10884394B2

公开(公告)日：2021-01-05

申请号：US16127545

申请日：2018-09-11

Applicant: General Electric Company

Inventor： Subhrajit Roychowdhury ,  Thomas Spears ,  Justin Gambone, Jr. ,  Ruijie Shi ,  Naresh Iyer

IPC: G05B19/4099 ,  B33Y50/00

Abstract: A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

公开(公告)号：US10753955B2

公开(公告)日：2020-08-25

申请号：US15638943

申请日：2017-06-30

Applicant: General Electric Company

Inventor： Rogier Sebastiaan Blom ,  John Freer ,  Dean Michael Robinson ,  Subhrajit Roychowdhury ,  Harry Kirk Mathews, Jr.

IPC: B33Y50/02 ,  G01N35/10 ,  B22F3/105 ,  G06F19/00 ,  B33Y10/00 ,  B33Y30/00

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is provided. The manufacturing computer device includes at least one processor in communication with at least one memory device. The at least one memory device stores a build file for building the part including a plurality of geometries that each include one or more values of a first build parameter. The processor is programmed to receive sensor information of a build of the part by a machine, compare the sensor information for each geometry of the plurality of geometries to the corresponding one or more values of the first build parameter, determine one or more values for a second build parameter for each of the geometries based on the one or more differences, and generate an updated build file for the part including the one or more values for the second build parameter.

公开(公告)号：US20190143406A1

公开(公告)日：2019-05-16

申请号：US15810308

申请日：2017-11-13

Applicant: General Electric Company

Inventor： William Thomas Carter ,  David Charles Bogdan, JR. ,  Jason Harris Karp ,  Justin John Gambone, JR. ,  Victor Petrovich Ostroverkhov ,  Marshall Gordon Jones ,  Kevin George Harding ,  Younkoo Jeong ,  Michael Robert Tucker ,  Subhrajit Roychowdhury

IPC: B22F3/00 ,  B22F3/105 ,  B29C64/153 ,  B29C64/245 ,  B29C64/386

Abstract: An additive manufacturing apparatus includes first and second spaced apart side walls defining a build chamber therebetween. The first and second spaced apart side walls are configured to rotate through an angle θ, about a z-axis along a pre-defined path. A build platform is defined within the first and second spaced apart side walls and is configured to rotate through an angle θ about the z-axis and vertically moveable along the z-axis. The apparatus further includes one or more build units mounted for movement along the pre-defined path. An additive manufacturing method is additionally disclosed.

公开(公告)号：US20190004496A1

公开(公告)日：2019-01-03

申请号：US15638998

申请日：2017-06-30

Applicant: General Electric Company

Inventor： Rogier Sebastiaan Blom ,  John Freer ,  Dean Michael Robinson ,  Subhrajit Roychowdhury ,  Harry Kirk Mathews, JR.

IPC: G05B19/4099 ,  G01B11/02 ,  G01B11/22 ,  G01B11/28 ,  G01J5/10 ,  B33Y50/00

CPC classification number: G05B19/4099 ,  B33Y50/00 ,  G01B11/02 ,  G01B11/22 ,  G01B11/285 ,  G01J5/0037 ,  G01J5/047 ,  G01J5/0809 ,  G01J5/10

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is configured to store a build file for building the part including one or more build parameters and receive build information. The manufacturing computer device is also configured to compare the sensor information to the one or more build parameters to determine one or more differences. The computer device is further configured to determine one or more adjustments to the one or more build parameters. Moreover, the computer device is configured to generate an updated build file based on the one or more adjustments. In addition, the computer device is further configured to transmit the updated build file to at least one machine of the plurality of machines for manufacture.

公开(公告)号：US12158597B2

公开(公告)日：2024-12-03

申请号：US18321349

申请日：2023-05-22

Applicant: General Electric Company

Inventor： Robert John Filkins ,  Subhrajit Roychowdhury ,  Juan Borja ,  Thomas Adcock

IPC: G02B5/00 ,  B22F1/00 ,  B22F10/28 ,  B22F10/36 ,  B22F10/362 ,  B22F12/44 ,  B22F12/49 ,  B23K26/06 ,  B29C64/153 ,  B29C64/268 ,  B33Y10/00

Abstract: A system includes a first group of optic lenses within a focusing unit positioned along the propagation direction of a collimated laser beam, the first group of optic lenses separated by a predetermined fixed distance. The first group of optic lenses in conjunction cause the collimated beam to form as an annular beam as it passes through the first group of optic lenses. An axicon lens located distal from the first group of optic lenses along the propagation direction, the axicon lens operable to bifurcate the annular beam into two deflected collimated beam sections, and the axicon lens having a focus that causes the two deflected collimated beam sections to merge at a distance distal from the axicon lens to create an interference pattern region.

公开(公告)号：US12017301B2

公开(公告)日：2024-06-25

申请号：US16818650

申请日：2020-03-13

Applicant: General Electric Company

Inventor： Naresh S. Iyer ,  Subhrajit Roychowdhury ,  Christopher D. Immer ,  Xiaohu Ping ,  Rogier S. Blom ,  Jing Yu

IPC: B23K26/342 ,  B23K26/03 ,  B23K26/06 ,  B23K26/073 ,  B23K26/082 ,  B23K31/00 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

CPC classification number: B23K26/342 ,  B23K26/032 ,  B23K26/0626 ,  B23K26/073 ,  B23K26/082 ,  B23K31/003 ,  B23K31/006 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

Abstract: An example additive manufacturing apparatus includes an energy source to melt material to form a component in an additive manufacturing process, a camera aligned with the energy source to obtain image data of the melted material during the additive manufacturing process, and a controller to control the energy source during the additive manufacturing process in response to processing of the image data. The controller adjusts control of the energy source based on a correction determined by: applying an artificial intelligence model to image data captured by a camera during an additive manufacturing process, the image data including an image of a melt pool of the additive manufacturing process; predicting an error in the additive manufacturing process using an output of the artificial intelligence model; and compensating for the error by generating a correction to adjust a configuration of the energy source during the additive manufacturing process.

公开(公告)号：US20230410412A1

公开(公告)日：2023-12-21

申请号：US17840401

申请日：2022-06-14

Applicant: General Electric Company

Inventor： Subhrajit Roychowdhury ,  Rogier Sebastiaan Blom ,  Steven J. Duclos ,  Anthony J. Vinciquerra ,  Xiaohu Ping ,  Voramon S. Dheeradhada

IPC: G06T15/08 ,  G05B19/4099 ,  B33Y50/00 ,  B29C64/386

CPC classification number: G06T15/08 ,  G05B19/4099 ,  G05B2219/35134 ,  B29C64/386 ,  G05B2219/49023 ,  B33Y50/00

Abstract: Methods and apparatus for sensor-based part development are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to translate at least one user-defined material property selection into a desired process observable, the desired process observable including a meltpool property, perform voxel-based autozoning of an input part geometry, the input part geometry based on a computer-generated design, and output a voxelized reference map for the input part geometry based on the desired process observable and the voxel-based autozoning.

公开(公告)号：US20230046049A1

公开(公告)日：2023-02-16

申请号：US17398604

申请日：2021-08-10

Applicant: General Electric Company

Inventor： Saikat K. Ray Majumder ,  Naresh S. Iyer ,  Xiaohu Ping ,  Subhrajit Roychowdhury

IPC: B22F10/28 ,  B33Y50/02 ,  B33Y10/00 ,  G06T7/00 ,  G06N3/08

Abstract: An additive manufacturing apparatus, a computing system, and a method for operating an additive manufacturing apparatus are provided. The method includes obtaining two or more images corresponding to respective build layers at a build plate, wherein each image comprises a plurality of data points comprising a feature and corresponding location at the build plate; removing variation between the features of the plurality of data points; and normalizing each feature to remove location dependence in the plurality of data points.

公开(公告)号：US11580430B2

公开(公告)日：2023-02-14

申请号：US16257367

申请日：2019-01-25

Applicant: General Electric Company

Inventor： Lembit Salasoo ,  Vipul K. Gupta ,  Xiaohu Ping ,  Subhrajit Roychowdhury ,  Justin Gambone, Jr. ,  Naresh Iyer ,  Xiaolei Shi ,  Mengli Wang

IPC: G06N7/00 ,  G06N20/00 ,  G06F30/00 ,  B22F10/20 ,  B33Y10/00 ,  B33Y50/02 ,  G06F119/18 ,  B22F10/30

Abstract: Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.