| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing of Metals: Complex Microstructures and Architecture Design
|
| Presentation Title |
Application of Photodiode Sensor for Contour Extraction of Part Features in the Laser Powder Bed Fusion Process |
| Author(s) |
Yuri Plotnikov, Mark White, Kyle Snyder, Marcus Thoreson, John Sions |
| On-Site Speaker (Planned) |
Yuri Plotnikov |
| Abstract Scope |
Metal additive manufacturing (AM) allows parts of highly complex geometry to be built to near exact shape from digital drawings and build instructions. Commercial viability of using laser powder bed fusion (L-PBF) technology to repair parts or to build upon traditionally manufactured parts is challenged by difficulties in aligning the existing part with the internal coordinate system of the AM machine. A team of CCAM researchers has created a novel solution, which uses the processing laser at low power levels to extract the contour of a part and construct a virtual part position map inside the build coordinate system. This solution utilizes the surface reflection on the part from laser beam exposure, allowing the reflected light to be captured by a fast-responding photosensor. The sensor signal is digitized at a high sampling rate and parsed into a two-dimensional map that can be used to align features within print software. |