Design of experiments informed deep learning for modeling of directed energy deposition process with a small-size experimental dataset
In order to address the high throughput data generation challenges in the directed energy deposition (DED) process development, a design of experiments (DOE) informed deep learning (DL) model is developed for modeling of laser powder-based DED process. A small-size experimental dataset is obtained a...
Main Authors: | Chengxi Chen, Stanley Jian Liang Wong, Srinivasan Raghavan, Hua Li |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-10-01
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Series: | Materials & Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522007201 |
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