About this Abstract |
Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
|
Symposium
|
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
|
Presentation Title |
Using Coaxial Melt Pool Images to Construct In-Process 3D Volume Model in Powder Bed Fusion Additive Manufacturing |
Author(s) |
Zhuo Yang, Brandon Lane, Aaron Kulvatunyou, Yan Lu, Ho Yeung |
On-Site Speaker (Planned) |
Zhuo Yang |
Abstract Scope |
Coaxial melt pool images are widely used to monitor melting conditions in laser powder bed fusion, capturing key features such as melt pool shape, size, and intensity. While valuable for detecting lack-of-fusion and over-fusion defects, their two-dimensional nature limits analysis to surface layers, leaving defects uncharacterized in 3D. Additionally, critical areas like overhang downskins cannot be evaluated in real-time without supplementary in-situ data. This study proposes a method to construct an in-process 3D volume model using melt pool images and historical cross-sectional measurements. The model distinguishes overhangs and solid supports to predict corresponding 3D melt pool volumes. An integrated model is further used to reconstruct the entire 3D part volume across layers. A case study demonstrates reconstruction of an overhang region based on 10-layer melt pool images, showing strong agreement with micro-XCT measurements in density, dross depth, and shape, thus validating the method’s potential for real-time 3D defect analysis. |
Proceedings Inclusion? |
Planned: Post-meeting proceedings |