Abstract
Industrial applications of PBFAM continue to expand, and there is a growing interest in the use of sensors to monitor the build process. Sensor data collected during the build process provides insight into process physics and may also lead to a reduction in overall fabrication time and cost by offering an alternative to extensive post-build nondestructive inspection for quality control. Ultimately, sensor data may serve as feedback for real-time control systems that automatically repair flaws before they are buried by subsequent layers. In this work, high resolution images are explored as a means of monitoring the PBFAM build process inside a 3D Systems ProX320. Key design considerations for camera selection and integration are discussed. Methods and algorithms are developed to calibrate and map layer-wise imagery to laser scan vectors. Images are stacked and exported to standardized 3D data formats to enable easy inspection and comparison to post-build 3D computed tomography (CT) volumes.
Original language | English (US) |
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Pages | 1382-1399 |
Number of pages | 18 |
State | Published - 2020 |
Event | 28th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2017 - Austin, United States Duration: Aug 7 2017 → Aug 9 2017 |
Conference
Conference | 28th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2017 |
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Country/Territory | United States |
City | Austin |
Period | 8/7/17 → 8/9/17 |
All Science Journal Classification (ASJC) codes
- Surfaces, Coatings and Films
- Surfaces and Interfaces