Patents by Inventor Lars ASCHERMANN

Lars ASCHERMANN 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).

  • Publication number: 20240084716
    Abstract: The present invention relates to a method for inspecting a component, in particular a component of a turbomachine (1), including the steps of: capturing (S2) at least one X-ray or CT image of the component (10) using an image-capturing device (20); providing (S21) metadata about the component (10), the metadata including, in particular, a component type, a running time of the component (10), a number of remaining life cycles, and/or a repair history; classifying, by a machine learning system (30), the component (10) into a “serviceable” category or a “non-serviceable” category based on the image captured by the image-capturing device (20) and the provided metadata.
    Type: Application
    Filed: December 16, 2021
    Publication date: March 14, 2024
    Inventors: Marius Bonhage, Nils Weidlich, Lars Aschermann, Frank Seidel, Philipp Döbber, Dirk Wilhelm Reker
  • Publication number: 20230258574
    Abstract: Provided is a method for detecting defects, in particular cracks and/or pores, in a component, in particular in a component of a turbomachine, preferably in a component of an engine, the method including the following steps: applying penetrant to at least a sub-region of the component such that the penetrant penetrates into any defects, in particular cracks and/or pores, present in the component; cleaning the surface of the component of penetrant that has not penetrated into defects, in particular cracks and/or pores, of the component; capturing an image, in particular a complete image, of the component; inputting the captured image into a machine learning system trained to detect defects, in particular cracks and/or pores; and detecting defects, in particular cracks and/or pores, in the component by machine learning system on the basis of light emitted and/or reflected by the penetrant in the defects, in particular cracks and/or pores.
    Type: Application
    Filed: June 24, 2020
    Publication date: August 17, 2023
    Inventors: Marius BONHAGE, Lars ASCHERMANN, Frank SEIDEL, Uwe SCHULZE, Matthias LÜTKE, Philipp DÖBBER
  • Publication number: 20170226860
    Abstract: Disclosed is a repair method for guide blades of a gas turbine. The method comprises: providing at least one guide blade to be maintained; capturing the actual geometry of the guide blade to be maintained with application of at least one measuring method; comparing the actual geometry captured by the contactless measuring method to a predetermined desired geometry for a corresponding guide blade type; calculating a target geometry for the guide blade to be maintained, which corresponds as much as possible to the desired geometry, such that using optimization parameters, the desired geometry of the guide blade to be maintained is approximated at least in sections along its flow contour; applying material and removing material by machine on the guide blade, such that the calculated target geometry is produced.
    Type: Application
    Filed: January 30, 2017
    Publication date: August 10, 2017
    Inventors: Lars ASCHERMANN, Bastian MANIA, Alexandre MINSO, Frank SEIDEL, Matthias WAGNER