Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8048645 | Manufacturing Letters | 2018 | 8 Pages |
Abstract
The current industry trend in metal additive manufacturing is towards greater real time process monitoring capabilities during builds to ensure high quality parts. While the hardware implementations that allow for real time monitoring of the melt pool have advanced significantly, the knowledge required to correlate the generated data to useful metrics of interest are still lacking. This research presents promising results that aim to bridge this knowledge gap by determining a novel means to correlate easily obtainable sensor data (thermal emission) to key melt pool size metrics (e.g., melt pool cross sectional area).
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Brian A. Fisher, Brandon Lane, Ho Yeung, Jack Beuth,