Design of experiments informed deep learning for modeling of directed energy deposition process with a small-size experimental dataset

• Main Authors: Chen, Chengxi, Wong, Stanley Jian Liang, Raghavan, Srinivasan, Li, Hua
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; Directed Energy Deposition; Single-Track Deposition
• Online Access: https://hdl.handle.net/10356/165625
• Institution: Nanyang Technological University

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...