Invention Grant
- Patent Title: Additive manufacturing machine calibration based on a test-page based object
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Application No.: US16127545Application Date: 2018-09-11
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Publication No.: US10884394B2Publication Date: 2021-01-05
- Inventor: Subhrajit Roychowdhury , Thomas Spears , Justin Gambone, Jr. , Ruijie Shi , Naresh Iyer
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G05B19/4099
- IPC: G05B19/4099 ; B33Y50/00

Abstract:
A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.
Public/Granted literature
- US20200081414A1 ADDITIVE MANUFACTURING MACHINE CALIBRATION BASED ON A TEST-PAGE BASED OBJECT Public/Granted day:2020-03-12
Information query
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