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http://bura.brunel.ac.uk/handle/2438/26505
Title: | Optimization of the process parameters for micro-milling thin-walled micro-parts using advanced algorithms |
Authors: | Wang, P Bai, Q Cheng, K Zhao, L Ding, H |
Keywords: | thin-walled micro-scale parts;micro-milling;fractal dimension;principal component analysis;advanced optimization algorithms |
Issue Date: | 28-Jul-2022 |
Publisher: | Springer Nature |
Citation: | Wang, P. et al. (2022) 'Optimization of the process parameters for micro-milling thin-walled micro-parts using advanced algorithms', International Journal of Advanced Manufacturing Technology, 121 (9-10), pp. 6255 - 6269. doi: 10.1007/s00170-022-09729-5. |
Description: | Please refer to the peer reviewed version at Springer Nature for the validated version at https://doi.org/10.1007/s00170-022-09729-5. The version archived on this institutional repository is a preprint from Research Square:that has not been peer reviewed. This version is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Data availability: The datasets used or analyzed during the current study are available from the corresponding author on reasonable request. |
URI: | https://bura.brunel.ac.uk/handle/2438/26505 |
DOI: | https://doi.org/10.1007/s00170-022-09729-5 |
ISSN: | 0268-3768 |
Other Identifiers: | ORCID iDs: Peng Wang https://orcid.org/0000-0002-2653-5367; Kai Cheng https://orcid.org/0000-0001-6872-9736. |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
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Preprint.pdf | This preprint is not peer reviewed. It is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). | 765 kB | Adobe PDF | View/Open |
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