Machine learning enhanced high dynamic range fringe projection profilometry for in-situ layer-wise surface topography measurement during LPBF additive manufacturing-Reference-Cited by-同舟云学术

Machine learning enhanced high dynamic range fringe projection profilometry for in-situ layer-wise surface topography measurement during LPBF additive manufacturing

Published:2023-11 Issue: Volume:84 Page:1-14
ISSN:0141-6359
Container-title:Precision Engineering
language:en
Short-container-title:Precision Engineering

Author:

Zhang Haolin,Prasad Vallabh Chaitanya Krishna^ORCID,Zhao Xiayun

Publisher

Elsevier BV

Subject

General Engineering

Reference51 articles.

1. Additive manufacturing applications in medical cases: a literature based review;Javaid;Alexandria Journal of Medicine,2019

2. Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing;Everton;Mater Des,2016

3. The rise of 3-D printing: the advantages of additive manufacturing over traditional manufacturing;Attaran;Bus Horiz,2017

4. Part-scale thermal simulation of laser powder bed fusion using graph theory: effect of thermal history on porosity, microstructure evolution, and recoater crash;Yavari;Mater Des,2021

5. Selective laser melting of biocompatible metals for rapid manufacturing of medical parts;Vandenbroucke;Rapid Prototyp J,2007

Cited by 8 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. Evaluating and correlating multimodal process dynamics, microstructure features, and mechanical properties in laser powder bed fusion;Journal of Manufacturing Processes;2024-10

2. Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps;Journal of Manufacturing Systems;2024-08

3. Single-pixel imaging-based PSF compensation for large depth-of-field fringe projection profilometry;Measurement;2024-08

4. A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion;Additive Manufacturing;2024-07

5. Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing;Journal of Computing and Information Science in Engineering;2024-04-22