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1.发明公开公开(公告)号：US20240231330A1
公开(公告)日：2024-07-11
申请号：US18560960
申请日：2022-05-03
IPC分类号： G05B19/418
CPC分类号： G05B19/41835 , G05B2219/31368
摘要： Computer-implemented method and control apparatus for controlling a machine by executing program steps which verifiably execute predefined control tasks is provided, including manipulating data based on input data received from the machine and resulting in reference data by data programming steps structured according to a declarative programming paradigm in a data processing unit, and performing control program steps verifying the reference data with respect to explicit conditions, without any further manipulation of the reference data in the control program steps in a control processing unit, and providing instructions resulting from the performed control program steps to the machine for execution of the instructions by the machine.
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公开(公告)号：US20220168840A1
公开(公告)日：2022-06-02
申请号：US17432316
申请日：2020-02-13
IPC分类号： B23K26/03 , B23K26/34 , B22F10/28 , B22F12/90 , B22F10/366 , B22F12/49 , B33Y30/00 , B33Y50/02 , B33Y10/00
摘要： In order to allow real-time monitoring of a tracing process during additive manufacture, a device is disclosed for the additive manufacture of a workpiece. A scanning unit (2) is designed to direct a fusing beam (3) onto a tracing spot (4). The device also has a local-resolution optical detector (5), a control unit (6) and an imaging unit (7). The imaging unit (7) is designed to image a portion (8) of the tracing surface (1) on the detector (5). The control unit (6) is designed to control the device in order to change the position of the portion (8) during manufacture.
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公开(公告)号：US20190091770A1
公开(公告)日：2019-03-28
申请号：US15719082
申请日：2017-09-28
发明人： Victor Balanica , Felix Buggenthin , Siegmund Düll , Mitchell Joblin , Clemens Otte , Axel Reitinger , Michael Caelers , Jonas Eriksson , Jerry Fornander , Andreas Graichen , Yi Huang , Vincent Sidenvall , Sunil Viswanathan
IPC分类号： B22F3/105 , G05B19/4099 , B33Y50/02 , B33Y30/00
摘要： The present invention provides an enhanced setup of a 3D-printing device, especially to a laser powder bed fusion 3D-printing device. It is for this purpose, that data relating to previously printed products are stored in a database. When a new product is to be printed, the features of the new product are matched with features of previously printed products stored in the database. Accordingly, a suggestion for setting-up the 3D-printing device based on corresponding previously printed products and their setup parameters can be automatically determined and applied to the 3D-printing device.
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公开(公告)号：US20240310794A1
公开(公告)日：2024-09-19
申请号：US18578841
申请日：2022-07-07
发明人： Ferdinand Strixner , Daniel Hein , Markus Michael Geipel , Dieter Bogdoll , Axel Reitinger , Johannes Kehrer , Carlos Andres Palacios Valdes
IPC分类号： G05B13/02
CPC分类号： G05B13/0245
摘要： To configure a machine controller by an action execution tree, predefined action patterns are read in. A multiplicity of action execution trees for a machine to be controlled is also generated. For a respectively generated action execution tree, a performance for controlling the machine based on the respective action execution tree is determined. The predefined action patterns are also sought in the respective action execution tree. An action pattern found in the respective action execution tree is then replaced at least in part by a reference to the predefined action pattern. A tree size of the thus modified action execution tree is furthermore determined. Based on the generated action execution trees, a numerical optimization method is then used to determine an action execution tree that is optimized with regard to better performance and smaller tree size, and this is output in order to configure the machine controller.
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公开(公告)号：US20220198287A1
公开(公告)日：2022-06-23
申请号：US17604584
申请日：2020-03-31
IPC分类号： G06N5/02 , G05B19/418
摘要： Controlling a manufacturing process by a computer-generated classification model is provided. This is combined with a reward system based on a distributed ledger and smart contracts. The classification model is trained by: Providing data entities being indicative of a property of a manufacturing of a product. Acquiring labels for each of the data entities from an agent. Determining labeling metrics based on the acquiring of the agent. Training the classification model, wherein the training set includes the data entities and their labels. Validating the trained classification model yielding a classifier score. Training a labeling score model based on the data entities, the respective labels, the labeling metrics and the classifier score. Determining a labeling score for the agent based on the labeling score model, the labels and the set of labeling metrics.
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公开(公告)号：US10549349B2
公开(公告)日：2020-02-04
申请号：US15719082
申请日：2017-09-28
发明人： Victor Balanica , Felix Buggenthin , Siegmund Düll , Mitchell Joblin , Clemens Otte , Axel Reitinger , Michael Caelers , Jonas Eriksson , Jerry Fornander , Andreas Graichen , Yi Huang , Vincent Sidenvall , Sunil Viswanathan
IPC分类号： B22F3/105 , G05B19/4099 , B33Y30/00 , B33Y50/02
摘要： The present invention provides an enhanced setup of a 3D-printing device, especially to a laser powder bed fusion 3D-printing device. It is for this purpose, that data relating to previously printed products are stored in a database. When a new product is to be printed, the features of the new product are matched with features of previously printed products stored in the database. Accordingly, a suggestion for setting-up the 3D-printing device based on corresponding previously printed products and their setup parameters can be automatically determined and applied to the 3D-printing device.
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公开(公告)号：US20220350308A1
公开(公告)日：2022-11-03
申请号：US17724731
申请日：2022-04-20
IPC分类号： G05B19/4155
摘要： A computer implemented method for automatically generating a behavior tree program for controlling a machine includes the steps of: transmitting a sequence of machine commands input by a user from a user interface to a controller, receiving supervision data in the user interface from the controller while the machine commands are executed in the controller controlling the machine, observing and copying the machine commands and supervision data transmitted between the controller and the user interface, storing the machine commands and the supervision data in a logging unit, generating a behavior tree program derived from the stored machine commands and the supervision data by statistical inference, and sending the generated behavior tree program to the controller unit to control the machine.
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8.发明申请公开(公告)号：US20200264594A1
公开(公告)日：2020-08-20
申请号：US16647931
申请日：2018-09-21
发明人： Felix Buggenthin , Siegmund Düll , Mitchell Joblin , Clemens Otte , Axel Reitinger , Victor Balanica , Michael Caelers , Jonas Eriksson , Jerry Fornander , Andreas Graichen , Vincent Sidenvall
IPC分类号： G05B19/418 , G06F3/0482 , B33Y50/00 , B29C64/386
摘要： Provided is a method for computer-aided processing of quality information of an object manufactured by stacked printed layers in an additive manufacturing system, including the steps of: receiving a quality indicator for each printed layer of the object from the manufacturing system, assigning a color out of a predefined set of colors to each quality indicator depending on the value of the quality indicator, visualizing the quality indicators of the received manufactured layers as a sequence of colored bars ordered according to the sequence of the manufactured layers the color of each bar indicating the value of the quality indicator of the respective printed layer on a graphical user interface.
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9.发明申请公开(公告)号：US20200230884A1
公开(公告)日：2020-07-23
申请号：US16650754
申请日：2018-09-19
发明人： Felix Buggenthin , Siegmund Düll , Mitchell Joblin , Clemens Otte , Axel Reitinger , Victor Balanica , Michael Caelers , Jonas Eriksson , Jerry Fornander , Andreas Graichen , Vincent Sidenvall
IPC分类号： B29C64/386 , B33Y50/00 , G05B19/418
摘要： An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.
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公开(公告)号：US11782419B2
公开(公告)日：2023-10-10
申请号：US17724731
申请日：2022-04-20
IPC分类号： G05B19/4155
CPC分类号： G05B19/4155 , G05B2219/33051
摘要： A computer implemented method for automatically generating a behavior tree program for controlling a machine includes the steps of: transmitting a sequence of machine commands input by a user from a user interface to a controller, receiving supervision data in the user interface from the controller while the machine commands are executed in the controller controlling the machine, observing and copying the machine commands and supervision data transmitted between the controller and the user interface, storing the machine commands and the supervision data in a logging unit, generating a behavior tree program derived from the stored machine commands and the supervision data by statistical inference, and sending the generated behavior tree program to the controller unit to control the machine.
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