A physical simulation-machine learning model for optimal process schemes in laser-based directed energy deposition process-Reference-Cited by-同舟云学术

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A physical simulation-machine learning model for optimal process schemes in laser-based directed energy deposition process

Published:2024-10 Issue: Volume:177 Page:111096
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Liu Weiwei^ORCID,Liu Huanqiang^ORCID,Li Wanyang^ORCID,Liu Bingjun,Ma Zongyu,Song Jianrong,Wang Tandong,Lyu Zhenxin,Hu Guangda,Fan Haoyv,Zhang Yingzhong,Zhang Hongchao

Publisher

Elsevier BV

Reference38 articles.

1. Material-structure-performance integrated laser-metal additive manufacturing;Gu;Science,2021

2. Additive manufacturing of metallic components – Process, structure and properties;DebRoy;Prog. Mater Sci.,2018

3. Density of additively-manufactured, 316L SS parts using laser powder-bed fusion at powers up to 400 W;Kamath;Int. J. Adv. Manuf. Technol.,2014

4. Machine learning and deep learning based predictive quality in manufacturing: a systematic review;Tercan;J. Intell. Manuf.,2022

5. Heat transfer and material flow during laser assisted multi-layer additive manufacturing;Manvatkar;J. Appl. Phys.,2014

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1. Three-dimensional polarization-dependent full-wavelength beam splitter written by femtosecond laser in LiNbO₃ crystal;Optics Express;2024-07-10

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