Machining accuracy reliability optimization of three-axis CNC machine tools using doubly-weighted vector projection response surface method
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13426-w.pdf
Reference33 articles.
1. Zhang ZL, Liu ZF, Cai LG, Cheng Q, Qi Y (2017) An accuracy design approach for a multi-axis NC machine tool based on reliability theory. Int J Adv Manuf Tech 91(5–8):1547–1566. https://doi.org/10.1007/s00170-016-9824-5
2. Patil RA, Gombi SL (2022) Operational cutting force identification in end milling using inverse technique to predict the fatigue tool life. Iran J Sci Technol Trans Mech Eng 46:3–41. https://doi.org/10.1007/s40997-020-00388-z
3. Cai LG, Zhang ZL, Cheng Q, Liu ZF, Gu PH (2015) A geometric accuracy design method of multi-axis NC machine tool for improving machining accuracy reliability. Eksploatacja i Niezawodnosc-Maint Reliab 17(1):143–155. https://doi.org/10.17531/ein.2015.1.19
4. Wang ZM, Yuan H (2021) Enhancing machining accuracy reliability of multi-axis CNC machine tools using an advanced importance sampling method. Eksploatacja i Niezawodnosc - Maint Reliab 23(3):559–568. https://doi.org/10.17531/ein.2021.3.17
5. Li GL, Wu CF, Xu K, Ran QF, Cao B (2023) Pivotal errors identification of the face gear worm grinding machine tool with a piecewise sensitivity analysis. Mech Mach Theory 181:105206. https://doi.org/10.1016/j.mechmachtheory.2022.105206
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