A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

doi:10.1088/2631-7990/acdb0a

International Journal of Extreme Manufacturing, Volume. 5, Issue 3, 35102(2023)

A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials

[in Chinese]1... [in Chinese]2,*, [in Chinese]3, [in Chinese]4, [in Chinese]1 and [in Chinese]1 |Show fewer author(s)

Author Affiliations

¹Tianjin Key Laboratory of Equipment Design and Manufacturing Technology, Department of Mechanical Engineering, Tianjin University, Tianjin 30054, People’s Republic of China

²Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Japan

³Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, People’s Republic of China

⁴School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, People’s Republic of China

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials[J]. International Journal of Extreme Manufacturing, 2023, 5(3): 35102

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Paper Information

Received: Dec. 20, 2022

Accepted: --

Published Online: Jul. 26, 2024

The Author Email: (yan@mech.keio.ac.jp)

DOI:10.1088/2631-7990/acdb0a

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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