Monitoring process stability in robotic wire-laser directed energy deposition based on multi-modal deep learning-Reference-Cited by-同舟云学术

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Monitoring process stability in robotic wire-laser directed energy deposition based on multi-modal deep learning

Published:2024-10 Issue: Volume:128 Page:111-124
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Cai Yuhua,Zhang Sennan,Wang Yuxing,Chen Hui,Xiong Jun

Funder

Sichuan Provincial Science and Technology Support Program

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Chinese Aeronautical Establishment

Publisher

Elsevier BV

Reference44 articles.

1. Chen C research status of laser additive manufacturing for metal: a review;Gong;J Mater Res Technol,2021

2. Molten pool behaviors and forming characteristics in wire-laser directed energy deposition with beam oscillation;Cai;J Mater Process Tech,2024

3. Height consistency compensation in laser-directed energy deposition of thin-walled parts;Ning;Int J Mech Sci,2024

4. A review of in-situ monitoring and process control system in metal-based laser additive manufacturing;Cai;J Manuf Syst,2023

5. A single-sensor multi-scale quality monitoring methodology for laser-directed energy deposition: example with height instability and porosity monitoring in additive manufacturing of ceramic thin-walled parts;Li;Addit Manuf,2024

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