Patents by Inventor Dirk Hartmann

Dirk Hartmann has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11982322
    Abstract: A friction surface clutch (10) for use in motor vehicles is provided. The friction surface clutch includes a first tapered element having a first friction surface and a second tapered element having a second friction surface, along with an actuating device having an actuating element for force-locked connection and disconnection of the tapered elements. The actuating device includes a pressure element coupled to the actuating element and a lever device interacting with the first tapered element. The first tapered element has a guide part in which the pressure element can be guided in a torsion-resistant way relative to the first tapered element prior to reaching a wear limit of the friction surfaces and can be engaged with the lever device to disconnect the force-locked connection. The pressure element can be detached from the guide part when the wear limit of the friction surfaces is reached.
    Type: Grant
    Filed: July 17, 2020
    Date of Patent: May 14, 2024
    Assignee: KENDRION (MARKDORF) GMBH
    Inventors: Manfred Gebhart, Martin Baschnagel, Dirk Hartmann, Alkan Ince, Christian Grosser, Björn Bergfeld
  • Publication number: 20240031388
    Abstract: For detecting a cyber-attack on a machine controller, a concurrent simulation of the machine is run in a secured access domain. From the machine controller actual control data are transmitted to the machine and resulting monitoring data are transmitted to a monitoring device. Furthermore, sensor data of the machine are transmitted to the concurrent simulation on a first secured transmission path. Based on the sensor data, the concurrent simulation simulates an operational behavior of the machine, thus inferring simulated monitoring data. The simulated monitoring data are then compared with the resulting monitoring, and an alarm signal is triggered depending on the comparison.
    Type: Application
    Filed: September 10, 2021
    Publication date: January 25, 2024
    Inventors: Rishith Ellath Meethal, Christoph Ernst Ludwig, Mohamed Khalil, Christoph Heinrich, Steffen Fries, Uwe Blöcher, Dirk Hartmann
  • Publication number: 20230235796
    Abstract: The invention relates to a friction surface clutch (10) for use in motor vehicles, in particular for switching an air compressor or the like, wherein the friction surface clutch comprises a first tapered element (11) having a first friction surface (12) and a second tapered element (13) having a second friction surface (14), wherein the friction surface clutch has an actuating device (15) having an actuating element (16) for force-locked connection and disconnection of the tapered elements, wherein the tapered elements are in force-locked connection in an unactuated operating state of the friction surface clutch, wherein the actuating device comprises a pressure element (21) coupled to the actuating element and a lever device (22) interacting with the first tapered element, wherein the pressure element can be engaged with the lever device in an actuated operating state of the friction surface clutch so that the force-locked connection can be disconnected, wherein the first tapered element has a guide part, in
    Type: Application
    Filed: July 17, 2020
    Publication date: July 27, 2023
    Inventors: Manfred GEBHART, Martin BASCHNAGEL, Dirk HARTMANN, ALKAN INCE, Christian GROSSER, Björn BERGFELD
  • Patent number: 11567470
    Abstract: In order to be able to take into account machining configurations more flexibly, a method for optimizing numerically controlled machining of a workpiece includes ascertaining geometric interaction data. A relationship between a force to be expected and a configuration parameter of the machining is determined on the basis of the interaction data. The force is calculated during the machining on the basis of the relationship and a current value of the at least one configuration parameter. The machining is adapted depending on the calculated force.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: January 31, 2023
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Dirk Hartmann, David Bitterolf, Hans-Georg Köpken, Birgit Obst, Florian Ulli Wolfgang Schnös, Sven Tauchmann
  • Patent number: 11551037
    Abstract: Provided is a method for determining a physical shape having a predefined physical target property that includes calculating a sensitivity landscape on the basis of a shape data record for the physical shape with the aid of a calculation device. The calculation device is a machine-taught artificial intelligence device. The shape data record identifies locations at or on the physical shape. For a plurality of these locations, the sensitivity landscape respectively indicates how the target property of the physical shape changes if the physical shape changes in the region of the location. Furthermore, the shape data record for the physical shape to be determined is changed on the basis of the sensitivity landscape in such a manner that the predefined physical target property is improved.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: January 10, 2023
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Stefan Gavranovic, Dirk Hartmann
  • Publication number: 20220382265
    Abstract: A method for operating a numerical controlled machine comprising receiving a sequence of control commands which, when executed by a numerical controlled machine, cause the numerical controlled machine to machine a workpiece to obtain a predetermined workpiece geometry, wherein the sequence of control commands includes while machining the workpiece based on the received sequence of control commands measuring a value of a first interaction parameter for a first position of the tool, comparing a measured value of the first interaction parameter for the first position of the tool with the simulated value of the first interaction parameter for the first position of the tool, and determining an adapted value of the second interaction parameter for a following position of the tool based on a result of the comparison.
    Type: Application
    Filed: November 18, 2020
    Publication date: December 1, 2022
    Inventors: Dirk Hartmann, Michael Jaentsch, Tobias Kamps, Birgit Obst, Daniel Regulin, Florian Ulli Wolfgang Schnös, Sven Tauchmann
  • Patent number: 11498219
    Abstract: Provided is a method for the computerized control of an end element of a machine tool. The method includes a method step of sensing a plurality of optical markers in a work environment of the machine tool by means of an optical measuring system. The method includes a method step of determining a first relative pose between the end element and a workpiece on the basis of the plurality of sensed optical markers. The method includes a method step of determining a first correction value on the basis of a comparison of the first relative pose with a reference pose. The method includes a method step of controlling the end element for machining the workpiece taking the first correction value into consideration.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: November 15, 2022
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Florian Ulli Wolfgang Schnös, Dirk Hartmann, Birgit Obst, Utz Wever
  • Publication number: 20220347923
    Abstract: In order to separate excess material from an additively manufactured component, spatially resolved structural data on the component are received. On the basis of the structural data, a process for emptying material from the component is simulated, wherein a sequence of emptying poses of the component is determined. For an associated emptying pose: the component is moved into the associated emptying pose in accordance with the simulated emptying process, movement of material is detected by sensors, as a result of a detection of a decrease in the movement of material, a trigger signal is generated, and a movement of the component into a subsequent emptying pose is initiated by the trigger signal, the trigger signal being considered higher priority than the simulated emptying process.
    Type: Application
    Filed: May 15, 2020
    Publication date: November 3, 2022
    Inventors: Dirk Hartmann, Christoph Kiener, Meinhard Paffrath
  • Publication number: 20220284153
    Abstract: A computing system may include a geometry access engine configured to access geometries associated with a topology optimization process, including an original geometry that represents a design space upon which the topology optimization process applies to as well as a topology optimized geometry that represents an output of the topology optimization process performed for the original geometry. The system may also include geometry processing engine configured to generate a final geometry from the topology optimized geometry, including by conforming the topology optimized geometry to the original geometry at portions of the topology optimized geometry that correspond to fixed regions of the original geometry as well as smoothing the topology optimized geometry at portions that correspond to non-fixed regions of the original geometry.
    Type: Application
    Filed: August 28, 2019
    Publication date: September 8, 2022
    Inventors: Stefan Gavranovic, Suraj Ravi Musuvathy, Dirk Hartmann, Peter Nanson, Richard Collins, Hiren Dedhia
  • Publication number: 20220250324
    Abstract: To separate excess material, the component moved by a movement device that is controlled by movement data, and a fill level of the component with material is measured. A process for emptying material from the component simulated for each different initial fill level with material, wherein movement data, which specify a simulated movement of the component, and a simulated fill level progression resulting from the simulated movement are assigned to the associated initial fill level. In addition, a corresponding initial fill level is selected in accordance with the measured fill level, and the movement device is controlled by movement data which are assigned to the selected initial fill level. The fill level is measured and compared to a simulated fill level progression assigned to the selected initial fill level. The steps of selecting a corresponding initial fill level (SAFG) and controlling the movement device (BV) are carried out.
    Type: Application
    Filed: May 15, 2020
    Publication date: August 11, 2022
    Inventors: Meinhard Paffrath, Dirk Hartmann, Christoph Kiener
  • Publication number: 20220253576
    Abstract: A computing system may include a design access engine and a design processing engine. The design access engine may be configured to access an object design to be constructed through additive manufacturing. The design processing engine may be configured to represent the object design as a combination of coarse geometric elements and high-resolution lattice elements and process the object design based on both the coarse geometric elements and the high-resolution lattice elements. Processing of the object design may include generation of lattice infills, lattice simulations, or a combination of both.
    Type: Application
    Filed: August 27, 2019
    Publication date: August 11, 2022
    Inventors: Suraj Ravi Musuvathy, David Madeley, Lucia Mirabella, Stefan Gavranovic, Dirk Hartmann
  • Publication number: 20220180027
    Abstract: A computer-implemented method and apparatus for generating a design for a technical system or a product is provided. Depending on a set of first parameters, specifying physical properties, and second parameters, specifying perceptible properties of the technical system or product, a design is generated for the technical system or product. A performance indicator that evaluates a physical performance of the generated design is obtained. The generated design of the technical system or product is presented to a user and perception data in response to the presentation of the generated design are measured by a perception capturing unit and a perception evaluation indicator is deduced from the measured perception data. An optimized design is determined by iteratively optimizing the performance indicator and/or the perception evaluation indicator by an optimization algorithm. The method and apparatus enable an autonomous closed design loop taking human perception into account.
    Type: Application
    Filed: March 23, 2020
    Publication date: June 9, 2022
    Inventors: Dirk Hartmann, Sanjeev Srivastava
  • Publication number: 20220088735
    Abstract: In order to be able to take into account machining configurations more flexibly, a method for optimizing numerically controlled machining of a workpiece includes ascertaining geometric interaction data. A relationship between a force to be expected and a configuration parameter of the machining is determined on the basis of the interaction data. The force is calculated during the machining on the basis of the relationship and a current value of the at least one configuration parameter. The machining is adapted depending on the calculated force.
    Type: Application
    Filed: December 17, 2019
    Publication date: March 24, 2022
    Applicant: Siemens Aktiengesellschaft
    Inventors: Dirk Hartmann, DAVID BITTEROLF, HANS-GEORG KÖPKEN, BIRGIT OBST, FLORIAN ULLI WOLFGANG SCHNÖS, SVEN TAUCHMANN
  • Patent number: 10953891
    Abstract: A method using machine learned, scenario based control heuristics including: providing a simulation model for predicting a system state vector of the dynamical system in time based on a current scenario parameter vector and a control vector; using a Model Predictive Control, MPC, algorithm to provide the control vector during a simulation of the dynamical system using the simulation model for different scenario parameter vectors and initial system state vectors; calculating a scenario parameter vector and initial system state vector a resulting optimal control value by the MPC algorithm; generating machine learned control heuristics approximating the relationship between the corresponding scenario parameter vector and the initial system state vector for the resulting optimal control value using a machine learning algorithm; and using the generated machine learned control heuristics to control the complex dynamical system modelled by the simulation model.
    Type: Grant
    Filed: April 26, 2018
    Date of Patent: March 23, 2021
    Inventors: Dirk Hartmann, Birgit Obst, Erik Olof Johannes Wannerberg
  • Patent number: 10604592
    Abstract: Provided is a dispersion stabilizer for suspension polymerization comprising an aqueous emulsion containing a dispersant (A), a dispersoid (B), a graft polymer (C), and an aqueous medium, wherein the dispersant (A) contains a surfactant, the dispersoid (B) contains a polymer having an ethylenically unsaturated monomer unit, the graft polymer (C) is obtained by graft polymerization of the ethylenically unsaturated monomer with the dispersant (A), a mass ratio [A/(A+B+C)] is 0.001 or more and less than 0.18, a mass ratio [C/(A+B+C)] is 0 or more and less than 0.04, and the total content of the dispersant (A), the dispersoid (B), and the graft polymer (C) is 35 to 70 mass %. A vinyl polymer to be obtained by suspension polymerization of a vinyl compound using the dispersion stabilizer has good plasticizer absorption. Further, the number of fish-eyes that occur when the vinyl polymer is formed is small, and the hue deterioration is also suppressed.
    Type: Grant
    Filed: April 8, 2015
    Date of Patent: March 31, 2020
    Assignee: KURARAY CO., LTD.
    Inventors: Tadahito Fukuhara, Yosuke Kumaki, Samuel Michel, Dirk Hartmann
  • Patent number: 10456979
    Abstract: A method (1) for optimizing a production process for a component (20, 32) that is to be manufactured by additive manufacturing by means of simulation (2) of the production process (50) includes: a) ascertaining a position of the component (20, 32) in a production space that has been optimized according to a process optimization criterion (7); b) calculating displacements and/or stresses in the component (20, 32) that can be caused by the production process (50); c) ascertaining supporting structures (31) that counteract the displacements and/or stresses that have been optimized according to the process optimization criterion (7); and d) ascertaining at least a portion of the design of the component (20, 32) that has been optimized according to a component optimization criterion (8).
    Type: Grant
    Filed: April 8, 2014
    Date of Patent: October 29, 2019
    Assignee: Siemens Aktiengesellschaft
    Inventors: Dirk Hartmann, Philipp Emanuel Stelzig, Utz Wever, Roland Gersch
  • Publication number: 20190325270
    Abstract: Provided is a method for determining a physical shape having a predefined physical target property that includes calculating a sensitivity landscape on the basis of a shape data record for the physical shape with the aid of a calculation device. The calculation device is a machine-taught artificial intelligence device. The shape data record identifies locations at or on the physical shape. For a plurality of these locations, the sensitivity landscape respectively indicates how the target property of the physical shape changes if the physical shape changes in the region of the location. Furthermore, the shape data record for the physical shape to be determined is changed on the basis of the sensitivity landscape in such a manner that the predefined physical target property is improved.
    Type: Application
    Filed: April 19, 2019
    Publication date: October 24, 2019
    Inventors: Stefan Gavranovic, Dirk Hartmann
  • Publication number: 20190152064
    Abstract: Provided is a method for the computerized control of an end element of a machine tool. The method includes a method step of sensing a plurality of optical markers in a work environment of the machine tool by means of an optical measuring system. The method includes a method step of determining a first relative pose between the end element and a workpiece on the basis of the plurality of sensed optical markers. The method includes a method step of determining a first correction value on the basis of a comparison of the first relative pose with a reference pose. The method includes a method step of controlling the end element for machining the workpiece taking the first correction value into consideration.
    Type: Application
    Filed: July 10, 2017
    Publication date: May 23, 2019
    Inventors: Florian Ulli Wolfgang Schnös, Dirk Hartmann, Birgit Obst, Utz Wever
  • Publication number: 20190137974
    Abstract: Design data are input for an object to be additively manufactured and to be optimised in terms of a physical optimisation target is provided. A volumetric model of the object is initialised with a material distribution according to the design data, the volumetric model having a plurality of volume elements. A respective local target property relating to the optimisation target is then determined for volume elements of the volumetric model, based on the material distribution. According to embodiments of the invention, each volume element is checked to determine whether the volume element is supported in terms of additive manufacturing. Based on this, the target property of this volume element is modified in such a way that it approaches the target property if it is supported and/or moves away from the optimisation target if it is not supported.
    Type: Application
    Filed: May 26, 2017
    Publication date: May 9, 2019
    Inventors: Utz Wever, David Vitoux, Stefan Gavranovic, Dirk Hartmann
  • Publication number: 20190031204
    Abstract: A method for performing an optimized control of a complex dynamical system using machine learned, scenario based control heuristics including: providing a simulation model for predicting a system state vector of the dynamical system in time based on a current scenario parameter vector and a control vector; using a Model Predictive Control, MPC, algorithm to provide the control vector during a simulation of the dynamical system using the simulation model for different scenario parameter vectors and initial system state vectors; calculating a scenario parameter vector and initial system state vector a resulting optimal control value by the MPC algorithm; generating machine learned control heuristics approximating the relationship between the corresponding scenario parameter vector and the initial system state vector for the resulting optimal control value using a machine learning algorithm; and using the generated machine learned control heuristics to control the complex dynamical system modelled by the simulat
    Type: Application
    Filed: April 26, 2018
    Publication date: January 31, 2019
    Inventors: Dirk Hartmann, Birgit Obst, Erik Olof Johannes Wannerberg