
Monday, October 09, 2017 4:44:04 PM
US Patent Application Pub No.: US2017/0266762A1
Date: Sept 21, 2017
All the best,
Silversmith
An additive manufacturing method is disclosed that includes the following: 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.
A manufacturing method is disclosed that includes the following: identifying one or more regions within a part where defects are more likely to occur during the manufacturing method; recording sensor data from laser scans made within the identified one or more regions using an optical temperature sensor; generating a characteristic curve for each of the one or more regions using the sensor data collected for each of the recorded laser scans; comparing the characteristic curves to corresponding a baseline characteristic curves; and determining one or more 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.
Another additive manufacturing method is disclosed that includes the following: creating a metal part on a powder bed using a scanning laser; recording sensor data for scans made by the laser in select regions of the metal part using an optical temperature sensor; determining intensity and duration of each of the recorded scans; creating a characteristic curve for each of the regions of the metal part based on the intensity and duration of each scan associated with the region; comparing each of the characteristic curves to a baseline characteristic curve associated with each of the regions; and determining based on the comparing whether any of the regions are likely to have manufacturing defects.
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