Study of cutting force predictability, signal complexity of different end milling CWE stages with different modelling methods

Hui Xie, Guangxian Li, Andrew Longstaff, Simon Fletcher, Songlin Ding, Wencheng Pan

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

8 Citations
2 Article
1 Review article

3 results

2025
Prediction of cutting force via machine learning: state of the art, challenges and potentials
Liu, M., Xie, H., Pan, W., Ding, S. & Li, G., 1 Feb 2025, In: Journal of Intelligent Manufacturing. 36, 2, p. 703-764 62 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
File
38 Link opens in a new tab Citations (Scopus)
2023
The machinability of titanium alloy thin-wall parts in cooling minimum quantity lubrication (CMQL) environments
Wu, G., Mao, X., Pan, W., Li, G. & Ding, S., 1 Dec 2023, In: International Journal of Advanced Manufacturing Technology. 129, 7-8, p. 2875-2895 21 p.
Research output: Contribution to journal › Article › peer-review

Open Access
8 Link opens in a new tab Citations (Scopus)
2022
Experimental investigation of eco-friendly cryogenic minimum quantity lubrication (CMQL) strategy in machining of Ti–6Al–4V thin-wall part
Wu, G., Li, G., Pan, W., Raja, I., Wang, X. & Ding, S., 10 Jul 2022, In: Journal of Cleaner Production. 357, 17 p., 131993.
Research output: Contribution to journal › Article › peer-review

Open Access
File
47 Link opens in a new tab Citations (Scopus)