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LAYER-BASED DEFECT DETECTION USING NORMALIZED SENSOR DATA

  • US 20170266762A1
  • Filed: 03/21/2017
  • Published: 09/21/2017
  • Est. Priority Date: 03/21/2016
  • Status: Active Grant
First Claim
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1. An additive manufacturing method, comprising:

  • monitoring a heat source scanning across a powder bed using an optical temperature sensor;

    scanning across different portions of the powder bed with the heat source to produce a metal part;

    recording the intensity and duration of scans made by the heat source;

    generating a characteristic curve from the optical temperature sensor for one or more regions of the metal part using the recorded scan duration and intensity data;

    comparing the characteristic curve of each region with a baseline characteristic curve associated with the respective region; and

    determining one of the regions is defective when the comparing shows a difference between the characteristic curve of the region and the baseline characteristic curve that exceeds a predetermined threshold.

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