Non-uniform flank wear prediction and tool orientation optimization for ball-end tool 5-axis machining based on real cutting length calculation
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-14247-7.pdf
Reference27 articles.
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2. Huang Y, Liang SY (2004) Modeling of CBN tool flank wear progression in finish hard turning. J Manuf Sci Eng 126:98–106. https://doi.org/10.1115/1.1644543
3. Luo X, Cheng K, Holt R, Liu X (2005) Modeling flank wear of carbide tool insert in metal cutting. Wear 259:1235–1240. https://doi.org/10.1016/j.wear.2005.02.044
4. Chinchanikar S, Choudhury SK (2015) Predictive modeling for flank wear progression of coated carbide tool in turning hardened steel under practical machining conditions. Int J Adv Manuf Technol 76:1185–1201. https://doi.org/10.1007/s00170-014-6285-6
5. Wu D, Jennings C, Terpenny J, Gao RX, Kumara S (2017) A comparative study on machine learning algorithms for smart manufacturing: tool wear prediction using random forests. J Manuf Sci Eng 139:071018. https://doi.org/10.1115/1.4036350
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