Multi-objective optimization of machining parameters in micro-milling LF 21 based on the AHP-entropy weight method
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13261-z.pdf
Reference27 articles.
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2. Wang W, Kweon S, Yang S (2005) A study on roughness of the micro-end-milled surface produced by a miniatured machine tool. J Mater Process Tech 162:702–708. https://doi.org/10.1016/j.jmatprotec.2005.02.141
3. Lu XH, Luo JQ, Cong C, Xv K (2023) Prediction of top burr size and optimization of process parameters in micro-milling aluminum alloy LF21. J Jilin Univ Eng Technol Ed 1–7. https://doi.org/10.13229/j.cnki.jdxbgxb.20230228
4. Shi WT, Hou YJ, Liu YD, Li QQ (2016) Overview on formation mechanism and research progresses of burrs in micro cutting. Chin J Mech Eng-En 29(01):9–11. https://doi.org/10.3969/j.issn.1004-132X.2019.23.006
5. Guo MX, Jiang XH, Ye Y, Ding ZS, Zhang ZY (2019) Investigation of redistribution mechanism of residual stress during multi-process milling of thin-walled parts[J]. Int J Adv Manuf Technol 103(1):1459–1466. https://doi.org/10.1007/s00170-019-03640-2
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