Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process-Reference-Cited by-同舟云学术

Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process

Published:2023-04-18 Issue: Volume: Page:1-15
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Zhibo¹^ORCID,Sahu Chandan Kumar²^ORCID,Singh Shubhendu Kumar²,Rai Rahul²^ORCID,Yang Zhuo³,Lu Yan⁴

Affiliation:

1. Manufacturing and Design Lab (MADLab), University at Buffalo, Buffalo, NY, USA

2. Geometric Reasoning and Artificial Intelligence Lab (GRAIL), Clemson University International Center for Automotive Research (CU-ICAR), Clemson, SC, USA

3. Mechanical and Industrial Engineering Department, University of Massachusetts Amherst, Amherst, MA, USA

4. National Institute of Standards and Technology, Gaithersburg, MD, USA

Funder

Army Research Laboratory

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2201860

Reference64 articles.

1. MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning

2. Simple method to construct process maps for additive manufacturing using a support vector machine

3. On the limitations of Volumetric Energy Density as a design parameter for Selective Laser Melting

4. A novel high-efficient finite element analysis method of powder bed fusion additive manufacturing

5. Claesen, Marc, and Bart De Moor. 2015. “Hyperparameter Search in Machine Learning.” arXiv preprint arXiv:1502.02127.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of Machine Learning to Improve Additive Manufacturing Processes;Applied Sciences;2024-08-01

2. Deep learning-based prediction of thermal residual stress and melt pool characteristics in laser-irradiated carbon steel;International Communications in Heat and Mass Transfer;2024-06

3. L-PBF AM process failures causal chain: an FMEA-based monitoring approach for process control;International Journal of Production Research;2024-04-25

4. Melt Pool Width Extraction Method in Laser Directed Energy Deposition Based on Variable Step Size Erosion Model;IEEE Access;2024

5. Physics-Guided Long Short-Term Memory Networks for Emission Prediction in Laser Powder Bed Fusion;Journal of Manufacturing Science and Engineering;2023-10-17