Machine learning-based prediction of directed energy deposition process with small-size experimental data

The inconstancy in material properties and complex geometry make directed energy deposition (DED) a difficult process to control and optimize. Understanding the process-structure-property relationship and modeling geometry from track, to layer and multi-layer are keys to advancing DED. Experimentati...

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Bibliographic Details
Main Author: Chen, Chengxi
Other Authors: Li Hua
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173602
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Institution: Nanyang Technological University
Language: English