Keywords and Phrases
Solid-liquid interface; Solidification rate
”Studying the melt pool dynamics in laser powder bed fusion (LPBF) additive manufacturing is vital to predict the microstructure of the built part. High-speed synchrotron hard X-ray imaging is an advanced technique to monitor the LPBF process in situ and in real time. However, it is very challenging to track the solid-liquid interface due to the low image contrast, high image noise and unstable intensity of the image sequences.
In this paper, we propose an solid-liquid interface detector with human interaction to track the interface to compute the solidification rate of the melt pool. The proposed method includes six independent modules for solid-liquid interface identification: image preprocessing for contrast enhancement, image background removal, intelligent scissor for initialization, interface segmentation, human-interacted mistake correction and solidification rate computation. Our approach is validated on the LPBF process of aluminum image sequences, and the good performance shows its potential to enable semi-automatic characterization of LPBF processes”--Abstract, page iii.
M.S. in Computer Science
Missouri University of Science and Technology
vii, 24 pages
© 2018 Wei Luo, All rights reserved.
Thesis - Open Access
Luo, Wei, "Solidification rate detection through solid-liquid interface tracking" (2018). Masters Theses. 8079.