Patents Examined by Yuhui R Pan
  • Patent number: 11117360
    Abstract: A device and method for generating scan data and/or slice data for use in an additive manufacturing process, in which an energy beam is scanned across layers of flowable material to consolidate the material in a layer-by-layer manner to build a part. The device includes a display and a processor. The processor is arranged to determine scan data for slices and/or slices of the part to be built in the additive manufacturing process and cause the display to display scan data and/or slices that has been determined whilst determining scan data for other ones of the slices and/or other ones of the slices from the geometric data.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: September 14, 2021
    Assignee: RENISHAW PLC
    Inventors: Ramkumar Revanur, Michael Joseph McClelland
  • Patent number: 11110663
    Abstract: The invention belongs to the field of filament additive manufacturing, and discloses a polymer multi-material high-flexibility laser additive manufacturing system and a method thereof. The system comprises a first robot arm, a second robot arm, a positioner, a rotational extrusion nozzle in which a plurality of extrusion modules are disposed and a laser, each extrusion module is used for extruding one kind of filament, and the rotational extrusion nozzle is connected with the first robot which drives the rotational extrusion nozzle to move according to a preset trajectory; the laser is connected with the second robot, and is used for emitting a laser to fuse the filament extruded from the rotational extrusion nozzle, and through the cooperative motion of the first robot and the second robot, the extrusion and fusion of the filament are performed synchronously; the positioner serves as a forming mesa, and the rotation of the positioner cooperates with the motions of the two robots.
    Type: Grant
    Filed: January 15, 2019
    Date of Patent: September 7, 2021
    Assignee: Huazhong University of Science and Technology
    Inventors: Chunze Yan, Hongzhi Wu, Yusheng Shi, Shifeng Wen, Lichao Zhang
  • Patent number: 11106196
    Abstract: A method and also an associated computer program (product) and an apparatus for shaping a production process for producing a product made up of multiple subproducts in a production system having multiple production modules is provided. The claimed method has the following steps: generating a process model using data about production steps to be carried out for the product and the subproducts thereof, from which process model at least some of the data about at least one production step are read and a respective production module that is available and associated for carrying out the respective production step is ascertained and using a signal connection to provide instructions that correspond to the respective production step for the production module.
    Type: Grant
    Filed: May 26, 2017
    Date of Patent: August 31, 2021
    Inventors: Wendelin Feiten, Sebastian Albrecht
  • Patent number: 11097470
    Abstract: A laser 3D printing method with orthopedic function, comprising the following steps: step one, measuring a projection characteristic of each spot within a scanning plane, to obtain a deformation quantity of a focused light spot at the each spot within the scanning plane before rectifying; step two, setting compensation quantities of the each spot within the scanning plane of a light spot orthopedic device according to the measuring result of the step one, so that the size of the focused light spot at the each spot within the scanning plane is consistent; step three, turning on the laser, and dynamically matching the light spot orthopedic device and a scanning device to perform the laser 3D printing. The laser 3D printing method and system thereof with orthopedic function could ensure the size of the focused light spot is consistent within the scanning plane, thereby ensuring the quality of 3D printing.
    Type: Grant
    Filed: December 29, 2018
    Date of Patent: August 24, 2021
    Assignees: Inno Laser Technology Corporation Limited, Jiangsu Weina Laser Application Technology Research Institute Co., Ltd.
    Inventors: Xiaojie Zhao, Sha Tao
  • Patent number: 11100221
    Abstract: A system including a deep learning processor receives one or more control signals from one or more of a factory's process, equipment and control (P/E/C) systems during a manufacturing process. The processor generates expected response data and expected behavioral pattern data for the control signals. The processor receives production response data from the one or more of the factory's P/E/C systems and generates production behavioral pattern data for the production response data. The process compares at least one of: the production response data to the expected response data, and the production behavioral pattern data to the expected behavioral pattern data to detect anomalous activity. As a result of detecting anomalous activity, the processor performs one or more operations to provide notice or cause one or more of the factory's P/E/C systems to address the anomalous activity.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: August 24, 2021
    Assignee: Nanotronics Imaging, Inc.
    Inventors: Matthew C. Putman, John B. Putman, Vadim Pinskiy, Damas Limoge, Andrew Sundstrom, James Williams, III
  • Patent number: 11090872
    Abstract: Method and system arranged for obtaining an electronic 3D model of a 3D object to be fabricated. The method further including generating control instructions based on the electronic 3D model and process parameters of the fabrication process, determining a mesh model representing the electronic 3D model, the mesh model including elements each having at least one property that is affectable by at least one of the process parameters, and performing simulation of the fabrication process in time using the control instructions, the mesh model and the process parameters. The simulation includes establishing a deviation of the at least one property relative to a reference thereof for each element of the mesh model, wherein the deviation is induced by at least one of the process parameters, and establishing an adaptation for the at least one property of each element of the mesh model to compensate for the deviation.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: August 17, 2021
    Assignee: BOND HIGH PERFORMANCE 3D TECHNOLOGY B.V.
    Inventors: Nienke Koopmans, Alireza Azarfar, Thijs Tromper
  • Patent number: 11086305
    Abstract: A method for configuring a semiconductor manufacturing process, the method including: obtaining a first value of a first parameter based on measurements associated with a first operation of a process step in the semiconductor manufacturing process and a first sampling scheme; using a recurrent neural network to determine a predicted value of the first parameter based on the first value; and using the predicted value of the first parameter in configuring a subsequent operation of the process step in the semiconductor manufacturing process.
    Type: Grant
    Filed: February 11, 2021
    Date of Patent: August 10, 2021
    Assignee: ASML Netherlands B.V.
    Inventors: Sarathi Roy, Edo Maria Hulsebos, Roy Werkman, Junru Ruan
  • Patent number: 11072111
    Abstract: A three-dimensional (3D) printer includes a tool configured to extrude a material onto a surface to produce a 3D object. The printer also includes a first movement device configured to move the tool in a first direction. The printer also includes a first sensor configured to measure a first electrical parameter of the first movement device as the first movement device moves the tool in the first direction. A distance between the tool and the surface is varied in response to a comparison of the first electrical parameter and a first electrical parameter threshold of the first movement device.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: July 27, 2021
    Assignee: XEROX CORPORATION
    Inventor: Christopher D. Blair
  • Patent number: 11068821
    Abstract: An energy optimization system for participating in a capacity market program (CMP) includes one or more memory devices storing instructions, that, when executed on one or more processors, cause the one or more processors to receive a nominated capacity value, generate an objective function and one or more CMP constraints, wherein the one or more CMP constraints cause an optimization of the objective function with the CMP constraints to generate a resource allocation that reduces the load of the facility by the nominated capacity value in response to receiving the dispatch from the utility, receive the dispatch from the utility, optimize the objective function based on the nominated capacity value, the dispatch, and the one or more CMP constraints to determine the resource allocation, and control one or more pieces of building equipment based on the determined resource allocation.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: July 20, 2021
    Assignee: Johnson Controls Technology Company
    Inventors: Michael J. Wenzel, Mohammad N. Elbsat
  • Patent number: 11063965
    Abstract: A system including a deep learning processor obtains response data of at least two data types from a set of process stations performing operations as part of a manufacturing process. The system analyzes factory operation and control data to generate expected behavioral pattern data. Further, the system uses the response data to generate actual behavior pattern data for the process stations. Based on an analysis of the actual behavior pattern data in relation to the expected behavioral pattern data, the system determines whether anomalous activity has occurred as a result of the manufacturing process. If it is determined that anomalous activity has occurred, the system provides an indication of this anomalous activity.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: July 13, 2021
    Assignee: Nanotronics Imaging, Inc.
    Inventors: Matthew C. Putman, John B. Putman, Vadim Pinskiy, Damas Limoge, Andrew Sundstrom, James Williams, III
  • Patent number: 11040493
    Abstract: Described herein is an Intuitive Creation System for Additive Manufacturing (AM) Devices which automates the design and manufacturing process in order to minimize or eliminate the need to teach and train new users in the art of Additive Manufacturing (AM). This system and methodology allows anyone, with little to no technical know-how, to successfully operate an AM device to produce products that improve their quality of life, on demand, locally, and during events that cause disruption of traditional global manufacturing supply chains. Additionally, the described systems and methods also allow anyone to design and create products with little to no prior technical know-how. This is accomplished by integrating computational systems and processors into the physical device such that 3D model data can be interrupted and translated into actions by the AM device without the need for a highly trained operator or user.
    Type: Grant
    Filed: November 29, 2020
    Date of Patent: June 22, 2021
    Inventor: Joseph Matthew Sinclair
  • Patent number: 11029614
    Abstract: A method of determining topographical variation across a substrate on which one or more patterns have been applied. The method includes obtaining measured topography data representing a topographical variation across a substrate on which one or more patterns have been applied by a lithographic process; and combining the measured topography data with knowledge relating to intra-die topology to obtain derived topography data having a resolution greater than the resolution of the measured topography data. Also disclosed is a corresponding level sensor apparatus and lithographic apparatus having such a level sensor apparatus, and a more general method of determining variation of a physical parameter from first measurement data of variation of the physical parameter across the substrate and intra-die measurement data of higher resolution than the first measurement data and combining these.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: June 8, 2021
    Assignee: ASML Netherlands B.V.
    Inventors: Wim Tjibbo Tel, Frank Staals, Martin Jules Marie-Emile De Nivelle, Tanbir Hasan
  • Patent number: 11022965
    Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: June 1, 2021
    Assignee: International Business Machines Corporation
    Inventors: Robert J. Baseman, Jayant R. Kalagnanam, Young M. Lee, Jie Ma, Jian Wang, Guan Qun Zhang
  • Patent number: 11022962
    Abstract: A high availability industrial automation system in disclosed. The system has a primary industrial automation controller, a secondary industrial automation controller, and a communication network connected to the primary industrial automation controller and the secondary industrial automation controller. The primary industrial automation controller includes a processor and a memory configured to store a plurality of instructions, a plurality of automation tasks, input/output (I/O) data, and internal storage data. The processor is operative to execute the plurality of instructions to cross load information from the primary industrial automation controller to the secondary industrial automation controller. The cross loading of information can be less than the maximum amount of communicable information capable of being cross loaded. Also disclosed are methods of communicating over the high availability industrial automation system.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: June 1, 2021
    Assignee: Rockwell Automation Technologies, Inc.
    Inventor: Mark A. Flood
  • Patent number: 11024148
    Abstract: An actuator in an HVAC system is provided. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to an HVAC component for driving the HVAC component between multiple positions. The actuator further includes a processing circuit. The processing circuit is coupled to the motor and configured to transmit control signals to operate the motor to drive the HVAC component between a first position and a second position, monitor temperature data received from one or more temperature sensors, determine that the temperature data does not meet an expected performance criterion and transmit an alarm signal.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: June 1, 2021
    Assignee: Johnson Controls Technology Company
    Inventors: John T. Pierson, John K. Krenzer, Aaron D. Wagner
  • Patent number: 11014210
    Abstract: A controller of a machine tool includes a plurality of feed axes that feed a tool, machines a workpiece while making the tool oscillate and includes: an oscillation command creation unit which creates an oscillation command based on a machining condition; and a control unit which machines, based on the oscillation command and a movement command, the workpiece while making the tool oscillate, and the oscillation command creation unit creates, when the machining condition indicates machining by an interpolation operation of one feed axis of the plurality of feed axes, the oscillation command so as to make the tool oscillate in a direction along a machining path and changes, when the machining condition indicates machining by a simultaneous interpolation operation of the plurality of feed axes, the oscillation command so as to change the direction of the oscillation with respect to the machining path.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: May 25, 2021
    Assignee: FANUC CORPORATION
    Inventors: Kenta Yamamoto, Masashi Yasuda
  • Patent number: 11009898
    Abstract: A system for determining the relative space heating energy contribution of different tenant spaces in a multiple tenant building that is heated via a central steam piping distribution system. A steam piping distribution system is connected to a central heat source such as a steam boiler plant or a local utility district steam service. The steam distribution system includes terminal units located throughout the building which deliver heat to different spaces. Data collected at regular intervals from sensors located throughout the building are analyzed by a computer in order to calculate the fraction of the overall building's steam use that is delivered to particular tenant spaces over a given interval in time.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: May 18, 2021
    Inventors: Marc Zuluaga, Jason Block
  • Patent number: 10999092
    Abstract: A modular door and frame that can be manufactured and supplied to end users with various combinations of intelligent features. The intelligent features allow functions to be performed by the door and/or frame. Also, conditions or events to be detected and monitored at the intelligent door and/or remote locations. Data relating to the various functions, events, or conditions can be communicated across a network that is communicatively coupled to the door.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: May 4, 2021
    Assignee: EDST, LLC
    Inventors: Dave Marcinkowski, Thomas Mandry
  • Patent number: 10998725
    Abstract: Accurately predicting a power generation of a natural energy power generation device that is affected by a peak cut loss. A processor of a computer is caused to execute: an insolation analysis step and a power generation prediction step. The power generation prediction step determines a first insolation that is the insolation required to obtain a first power generation that is zero and the minimum output power, and a second power generation that is the capacity. The power generation prediction step also determines a second insolation that is the insolation in a case where the capacity is satisfied. In a case where the insolation is lower than the first insolation, the power generation prediction step determines the first power generation as the power generation, and in a case where the insolation exceeds the second insolation, the power generation prediction step determines the second power generation as the power generation.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: May 4, 2021
    Assignee: Hide Housing Corporation
    Inventors: Hideyuki Takahashi, Yoshio Horiuchi
  • Patent number: 10987742
    Abstract: A method of controlling a positioning control apparatus includes the steps of: deriving a predetermined relational expression in advance; detecting the pressing force during machining by a force sensor; calculating the sideslip amount corresponding to the pressing force detected by the force sensor, in accordance with the predetermined relational expression at any time; correcting a position command value of an arm tip of the positioning control apparatus based on the calculated sideslip amount; and machining the workpiece while moving the arm tip of the positioning control apparatus in accordance with the corrected position command value.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: April 27, 2021
    Assignee: KAWASAKI JUKOGYO KABUSHIKI KAISHA
    Inventors: Yuhei Horiuchi, Daisuke Kawakami, Kazunori Hara, Jun Fujimori, Hajime Kashiki