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US Patent 11853033 Systems and methods for using wire printing process data to predict material properties and part quality

Patent 11853033 was granted and assigned to Relativity Space, Inc. on December, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Relativity Space, Inc.
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Current Assignee
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Relativity Space, Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118530330
Patent Inventor Names
Kevin Cedrone0
Forrest Pieper0
Duncan McCallum0
Salvador Barriga0
Elad Taig0
Paul Burke0
Date of Patent
December 26, 2023
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Patent Application Number
169336370
Date Filed
July 20, 2020
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Patent Citations
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US Patent 7335854 Method and system of determining wire feed speed
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US Patent 7384255 Rapid prototyping system with controlled material feedstock
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US Patent 7700893 System and method for calibrating wire feeder motor control
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US Patent 7754597 Bonding pad fabrication method, method for fabricating a bonding pad and an electronic device, and electronic device
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US Patent 7896209 Filament drive mechanism for use in extrusion-based digital manufacturing systems
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US Patent 7062849 Method for producing circuitry using molten metal droplets
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US Patent 7073561 Solid freeform fabrication system and method
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US Patent 7168935 Solid freeform fabrication apparatus and methods
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...
Patent Citations Received
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US Patent 12090565 Systems for printing three-dimensional objects
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Patent Primary Examiner
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Suresh Suryawanshi
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CPC Code
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B33Y 50/02
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Patent abstract

Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.

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