Masters Theses

Wei Luo

Keywords and Phrases

Solid-liquid interface; Solidification rate

Abstract

”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.

Advisor(s)

Yin, Zhaozheng

Committee Member(s)

Jiang, Wei
Fu, Yanjie

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2018

Pagination

vii, 24 pages

Note about bibliography

Includes bibliographic references (pages 22-23).

Rights

© 2018 Wei Luo, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12092

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