The parameters optimization of robotic polishing with force controlled for mold steel based on Taguchi method
Author:
Funder
Laboratory of Robotics and Intelligent Systems (CASQuanzhou), Scientific and Technological Project of Quanzhou
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-04889-9.pdf
Reference22 articles.
1. Zhang L, Yi AY (2020) Manufacturing of a microlens array mold by a two-step method combining microindentation and precision polishing. Appl Opt 59(23):6945–6952 (in English)
2. Chen C et al (2022) Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing. Sci China Technol Sci 65(9):1957–1974
3. Verma T, Chawla O, Jha S (2022) Mathematical modelling for prediction of surface roughness in Pneumatically Configurable Polishing process. Wear 504505:204434
4. Peng Z, Song WL, Ye CL, Shi P, Choi SB (2021) Model establishment of surface roughness and experimental investigation on magnetorheological finishing for polishing the internal surface of titanium alloy tubes. J Intell Mater Syst Struct 32(12):1278–1289 (in English)
5. Wang R, Cheng MN, Loh YM, Wang C, Fai Cheung C (2022) Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing. Expert Syst Appl 207:118024
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