Material removal profile and surface topography prediction of ultrasonic vibration-assisted polished based on gray wolf optimization neural network-Reference-Cited by-同舟云学术

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Material removal profile and surface topography prediction of ultrasonic vibration-assisted polished based on gray wolf optimization neural network

Published:2024-06-19 Issue:9-10 Volume:133 Page:4235-4249
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Cui Zhijie,Liang Yingdong,Meng Fanwei,Ma Zhelun,Yu Tianbiao,Zhao Ji,Wang Zixuan

Funder

Fundamental Research Funds for Central Universities of the Central South University

Innovative Research Group Project of the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-13907-y.pdf

Reference44 articles.

1. Li Y, Feng Z, Cheng D, Wang Y (2021) Designing double freeform surfaces for large ray bending irradiance tailoring of extended LED sources. Opt Express 29:13469. https://doi.org/10.1364/oe.423629

2. Xu D, Wen Z, Coleto AG et al (2021) Verification of cascade optical coherence tomography for freeform optics form metrology. Opt Express 29:8542. https://doi.org/10.1364/oe.413844

3. Lou Z, Yan Y, Wang J et al (2023) Exploring the structural color of micro-nano nomposite gratings with FDTD simulation and experimental validation. Opt Express 32:2432–2451. https://doi.org/10.1364/oe.510400

4. Piao Y, Li C, Hu Y et al (2024) Nanoindentation induced anisotropy of deformation and damage behaviors of MgF2 crystals. J Mater Res Technol 28:4615–4625. https://doi.org/10.1016/j.jmrt.2024.01.034

5. Duan Z, Li C, Zhang Y et al (2023) Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological lubricant. Front Mech Eng 18:1–15. https://doi.org/10.1007/s11465-022-0720-4

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