公开(公告)号：US20240181717A1

公开(公告)日：2024-06-06

申请号：US18553236

申请日：2021-04-06

Applicant: ABB Schweiz AG

Inventor： Thorsten Strassel ,  Chau Hon Ho ,  Elisabet Capon ,  Stefano Maranò ,  Ioannis Lymperopoulos ,  Robin Verschueren ,  Gabriel Schuler

IPC: B29C64/40 ,  B29C64/393 ,  B33Y30/00 ,  B33Y40/20 ,  B33Y50/02

CPC classification number: B29C64/40 ,  B29C64/393 ,  B33Y30/00 ,  B33Y40/20 ,  B33Y50/02

Abstract: A method of producing a three-dimensional object, the method including providing an object model of the three-dimensional object; providing a candidate support structure model of one or more support structures for the three-dimensional object based on the object model; selecting a removal strategy among a plurality of candidate removal strategies for removal of the one or more support structures from the three-dimensional object based on the object model; modifying the candidate support structure model based on the selected removal strategy to provide a modified support structure model; forming the three-dimensional object based on the object model, and the one or more support structures supporting the three-dimensional object based on the modified support structure model, by means of additive manufacturing; and removing the one or more support structures from the three-dimensional object based on the selected removal strategy.

公开(公告)号：US20230034769A1

公开(公告)日：2023-02-02

申请号：US17966012

申请日：2022-10-14

Applicant: ABB Schweiz AG

Inventor： Moncef Chioua ,  Marcel Dix ,  Benjamin Kloepper ,  Ioannis Lymperopoulos ,  Dennis Janka ,  Pablo Rodriguez

IPC: G05B13/02 ,  G05B23/02

Abstract: A method and computer program product including training a machine learning model by means of input data and score data, wherein the machine learning model is an artificial neural net, ANN; running the trained machine learning model by applying the first time-series to the trained machine learning model; and outputting, by the trained machine learning model, an output value, comprising at least a second criticality value of the at least one predicted observable process-value indicative of the abnormal behaviour of the industrial process in a predefined temporal distance.

公开(公告)号：US20200342988A1

公开(公告)日：2020-10-29

申请号：US16857234

申请日：2020-04-24

Applicant: ABB Schweiz AG

Inventor： Ioannis Lymperopoulos ,  Andrea Cortinovis ,  Mehmet Mercangoez

IPC: G16H50/20 ,  G16H40/67 ,  G16H20/70 ,  G16H20/30 ,  G16H40/20 ,  A63F13/798 ,  G08B21/18 ,  G08B21/04

Abstract: To minimize the probability of occurrences of a delayed control action of a human operator, at least the human operator's interactions, including control actions, with a process and process responses to control actions are measured and processed to determine the human operator's alertness level, and if the alertness level is low enough, an engagement session may be triggered.

公开(公告)号：US20230256514A1

公开(公告)日：2023-08-17

申请号：US18004098

申请日：2021-07-08

Applicant: ABB Schweiz AG

Inventor： Ioannis Lymperopoulos ,  Andrea Cortinovis ,  Stefano Maranò ,  Jacim Jacimovic ,  Elisabet Capon

IPC: B22F10/40 ,  B22F12/90 ,  B22F10/39 ,  B33Y40/20 ,  B33Y50/02

CPC classification number: B22F10/40 ,  B22F10/39 ,  B22F12/90 ,  B33Y40/20 ,  B33Y50/02

Abstract: A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. In the system and method, a marker is placed on the 3D printed component or on a support structure attached to the 3D printed component. The marker may be printed while the 3D printed component and the support structures are printed by a 3D printer. After printing, the marker may then be sensed to determine one or more cutting paths between the 3D printed component and the support structures. The 3D printed component may then be autonomously separated from the support structures by cutting through the cutting path.

公开(公告)号：US20220009164A1

公开(公告)日：2022-01-13

申请号：US17369052

申请日：2021-07-07

Applicant: ABB Schweiz Ag

Inventor： Jacim Jacimovic ,  Elisabet Capon ,  Ioannis Lymperopoulos ,  Andrea Cortinovis ,  Stefano Marano

IPC: B29C64/188 ,  B29C64/40 ,  B29C64/393 ,  B29C64/379 ,  B33Y10/00 ,  B33Y40/20 ,  B33Y50/02

Abstract: A system and method are described for post-processing 3D printed components. Post-processing may include removing support structures for the 3D printed components and may also include other processes like assembling 3D printed components into finished products. In the system and method, post-processing strategies are iteratively generated and performed on 3D printed components. Performance metrics of the post-processing strategies are compared with a user-defined performance indicator in a learning process to improve the post-processing strategy over a number of 3D printed components.

公开(公告)号：US20240216993A1

公开(公告)日：2024-07-04

申请号：US18554267

申请日：2021-04-12

Applicant: ABB Schweiz AG

Inventor： Stefano Maranò ,  Ioannis Lymperopoulos ,  Elisabet Capon ,  Andrea Cortinovis ,  Jacim Jacimovic ,  Thorsten Strassel ,  Robin Verschueren ,  Chau-Hon Ho

IPC: B22F10/47 ,  B22F10/28 ,  B22F12/90 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

CPC classification number: B22F10/47 ,  B22F10/28 ,  B22F12/90 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

Abstract: A support arrangement for additive manufacturing, the support arrangement including a base structure; and a plurality of elongated support elements for supporting a three-dimensional object during additive manufacture of the three-dimensional object, each support element having a longitudinal axis and being independently movable relative to the base structure along the associated longitudinal axis; wherein at least one of the support elements is rotatable about the associated longitudinal axis. An additive manufacturing device including a support arrangement, and a method of producing a three-dimensional object, are also provided.

公开(公告)号：US20230256683A1

公开(公告)日：2023-08-17

申请号：US18003755

申请日：2021-07-08

Applicant: Stefano MARANÒ ,  ABB Schweiz AG

Inventor： Jacim Jacimovic ,  Elisabet Capon ,  Ioannis Lymperopoulos ,  Andrea Cortinovis ,  Stefano Maranò

IPC: B29C64/40 ,  B22F10/30 ,  B22F10/40 ,  B22F10/60 ,  G06V10/26

CPC classification number: B29C64/40 ,  B22F10/30 ,  B22F10/40 ,  B22F10/60 ,  G06V10/26 ,  B33Y40/20

Abstract: A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. In the system and method, a first image of a component is stored in memory. A second image of a 3D printed component corresponding to the component is also captured. One or more cutting paths between the 3D printed component and the support structures is then determined based on the first image and the second image. The 3D printed component may then be autonomously separated from the support structures by cutting through the cutting path.

公开(公告)号：US20230080873A1

公开(公告)日：2023-03-16

申请号：US17993443

申请日：2022-11-23

Applicant: ABB Schweiz AG

Inventor： Dennis Janka ,  Benjamin Kloepper ,  Moncef Chioua ,  Pablo Rodriguez ,  Ioannis Lymperopoulos ,  Marcel Dix

IPC: G06F30/27

Abstract: A model generation system includes input and output units. The input unit receives a plurality of input value trajectories comprising operational input value trajectories and simulation input value trajectories relating to an industrial process. The processing unit implements a simulator of the industrial process and generates behavioral data for at least some of the plurality of input value trajectories. The processing unit further implements a machine learning algorithm that models the industrial process, and trains the machine learning algorithm.