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...

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Bibliographic Details
Main Authors: Chengxi Chen, Stanley Jian Liang Wong, Srinivasan Raghavan, Hua Li
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522007201

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