Investigation on high-speed dry milling stability of high strength steel by compound Simpson prediction method
Author:
Funder
National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13911-2.pdf
Reference23 articles.
1. Xu Q, Zhao J, Ai X, Huang W, Wang G (2019) Optimum selection of tool materials for machining of high-strength steels based on fuzzy comprehensive evaluation method. Proc Inst Mech Eng B J Eng Manuf 233:145–153. https://doi.org/10.1177/0954405417713041
2. Zhang J, Huang X, Kang X, Yi H, Wang Q, Cao H (2023) Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials. Front Mech Eng 18:28. https://doi.org/10.1007/s11465-022-0744-9
3. Le TH, Pham VB, Tien DH (2022) Surface finish comparison of dry and coolant fluid high-speed milling of Jis sdk61 mould steel. Eng Technol Appl Sci Res 12:8023–8028
4. Liu B, Liu C, Yu X, Zhou Y, Wang D (2022) Prediction, detection, and suppression of regenerative chatter in milling. Adv Mech Eng 14:1992380385. https://doi.org/10.1177/16878132221129746
5. Wang H, Wang J, Zhang J, Tao K, Wu D (2020) Identification and analysis of cutting force coefficients in the helical milling process. J Adv Mech Des Syst Manuf 14:JAMDSM0020. https://doi.org/10.1299/jamdsm.2020jamdsm0020
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