Modeling and process parameter optimization of laser cutting based on artificial neural network and intelligent optimization algorithm-Reference-Cited by-同舟云学术

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Modeling and process parameter optimization of laser cutting based on artificial neural network and intelligent optimization algorithm

Published:2023-05-23 Issue:3-4 Volume:127 Page:1177-1188
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Ren Xingfei,Fan Jinwei,Pan Ri,Sun Kun

Funder

the construction of machine tools and equipment CNC interconnection platform and big data center and application platform

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-11543-6.pdf

Reference39 articles.

1. Boudjemline A, Boujelbene M, Bayraktar E (2020) Surface quality of Ti-6Al-4V titanium alloy parts machined by laser cutting. Eng Technol Appl Sci Res 10(4):6062–6067. https://doi.org/10.48084/etasr.3719

2. Parthiban A, Dhanasekaran C, Sivaganesan S, Sathish S (2020) Modeling on surface cut quality of CO2 laser cutting for austenitic stainless steel sheet. Mater Today: Proc 21:823–827. https://doi.org/10.1016/j.matpr.2019.07.428

3. Wang J, Sun Z, Gu L, Azimy H (2021) Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM). Infrared Phys Technol 118:103866. https://doi.org/10.1016/j.infrared.2021.103866

4. Luo Y, Wang H, Li Z, Wang X, Xie G (2019) Morphology investigation of sectional stripes and adhering slag based on vapor-to-melt ratio in Nd: YAG laser cutting of Al2O3 ceramics. J Laser Appl 31(3):032014. https://doi.org/10.2351/1.5093762

5. Raza MS, Datta S, Bule B, Saha P (2019) Parametric study of laser cutting of carbon fibre reinforced polymer (CFRP) and the effect of fibre orientation on cutting quality. Adv Mater Process Technol 5(2):202–212. https://doi.org/10.1080/2374068X.2018.1564865

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