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Cited article:

Data-driven material removal rate estimation in bonnet polishing process

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IFAC-PapersOnLine 59 (6) 211 (2025)
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Machine Learning Based Calibration of Force Sensors for Bonnet Polishing Process

Michal Darowski, Muhammad Faisal Aftab, David Walker, Hongyu Li, Guoyu Yu, Chenghui An and Christian W. Omlin
IFAC-PapersOnLine 58 (14) 115 (2024)
https://doi.org/10.1016/j.ifacol.2024.08.323

Prediction of the material removal rate in bonnet polishing using a Bayesian optimization deep neural network

Xiang Shixiong, Zhang Yun, Deng Yonghong, Hu Yue and Chen Zhongjun
Optics Express 32 (24) 42810 (2024)
https://doi.org/10.1364/OE.540513

Data-based systematic error extraction and compensation methods based on wavelet transform in ultra-precision optical polishing

Hanjie Li, Songlin Wan, Pandeng Jiang, Shuo Yan, Yichi Han, Lin Wang, Zhenqi Niu, Chen Hu, Guochang Jiang, Zhen Cao, Yifan Zhang, Chaoyang Wei and Jianda Shao
Optics Letters 49 (15) 4366 (2024)
https://doi.org/10.1364/OL.527827

Bridging the Divide Between Iterative Optical Polishing and Automation

David Walker, Juan I. Ahuir-Torres, Yasemin Akar, Paul A. Bingham, Xun Chen, Michal Darowski, Oliver Fähnle, Philippe Gambron, Frankie F. Jackson, Hongyu Li, Luke Mason, Rakesh Mishra, Abdullah Shahjalal and Guoyu Yu
Nanomanufacturing and Metrology 6 (1) (2023)
https://doi.org/10.1007/s41871-023-00197-3

Statistical perception of the chaotic fabrication error and the self-adaptive processing decision in ultra-precision optical polishing

Hanjie Li, Songlin Wan, Zhenqi Niu, et al.
Optics Express 31 (5) 7707 (2023)
https://doi.org/10.1364/OE.484309

Fourier convolution–parallel neural network framework with library matching for multi-tool processing decision-making in optical fabrication

Hao Guo, Songlin Wan, Hanjie Li, Lanya Zhang, Haoyang Zhang, Haojin Gu, Qing Lu, Guochang Jiang, Yichu Liang, Chaoyang Wei and Jianda Shao
Optics Letters 48 (9) 2468 (2023)
https://doi.org/10.1364/OL.489809