A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality
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/s10845-022-02031-x.pdf
Reference36 articles.
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2. Altintas, Y. (2016). Virtual High Performance Machining. Procedia CIRP, 46, 372–378. https://doi.org/10.1016/j.procir.2016.04.154
3. Brinksmeier, E., Aurich, J. C., Govekar, E., Heinzel, C., Hoffmeister, H., & Klocke, F. (2006). Advances in Modeling and Simulation of Grinding Processes. CIRP Annals, 55(1), 667–696. https://doi.org/10.1016/j.cirp.2006.10.003
4. Childs, T., Maekawa, K., Obikawa, T., & Yamane, Y. (2000). Tool damage. Metal Machining, 118–135. https://doi.org/10.1016/B978-0-08-052402-3.50007-1. Elsevier
5. Conroy, R. (2015). Sample size A rough guide https://doi.org/10.13140/RG.2.2.30497.51043
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