About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Presentation Title |
Reconstructing 3D Melt Pool Geometry from Coaxial Melt Pool Image for Powder Bed Fusion Additive Manufacturing |
Author(s) |
Zhuo Yang, Yan Lu, Ho Yeung, Brandon Lane, Jaehyuk Kim |
On-Site Speaker (Planned) |
Zhuo Yang |
Abstract Scope |
Coaxial camera of powder bed fusion machine records real-time melt pool surface during the build. Those images provide insight into melting conditions such as melting area, shape, intensity, and spatters. However, the optical melt pool image can only capture the information at the 2D level. This intrinsic disadvantage is limited to further layerwise analysis. This paper develops a method to reconstruct the 3D melt pool geometry from 2D optical melt pool images. First, it estimates the melt pool depth based on the width-depth ratio measured from historical data under different process conditions. Secondly, the method generates the melt pool cross-sections based on previous morphological analysis. The reconstruction also uses image pre-processing to remove noise and distinguish spatters from the melt pool. This paper investigates the practical way to estimate the melt pool depth based on accessible information. Future work would design an single-track experiment to fully validate the proposed method. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |