Optimization of the process parameters for micro-milling thin-walled micro-parts using advanced algorithms

Please use this identifier to cite or link to this item: 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 The version archived on this institutional repository is a preprint from Research Square:that has not been peer reviewed.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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