A digital twin-driven cutting force adaptive control approach for milling process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-023-02193-2.pdf
Reference32 articles.
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3. Cai, Y., Starly, B., Cohen, P., & Lee, Y.-S. (2017). Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing. Procedia Manufacturing, 10, 1031–1042. https://doi.org/10.1016/j.promfg.2017.07.094
4. Denkena, B., & Flöter, F. (2012). Adaptive cutting force control on a milling machine with hybrid axis configuration. Procedia CIRP, 4, 109–114. https://doi.org/10.1016/j.procir.2012.10.020
5. Ferry, W. B., & Altintas, Y. (2008). Virtual five-axis flank milling of jet engine impellers—part i: Mechanics of five-axis flank milling. Journal of Manufacturing Science and Engineering. https://doi.org/10.1115/1.2815761
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