Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26505
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dc.contributor.authorWang, P-
dc.contributor.authorBai, Q-
dc.contributor.authorCheng, K-
dc.contributor.authorZhao, L-
dc.contributor.authorDing, H-
dc.date.accessioned2023-05-24T07:34:13Z-
dc.date.available2023-05-24T07:34:13Z-
dc.date.issued2022-07-28-
dc.identifierORCID iDs: Peng Wang https://orcid.org/0000-0002-2653-5367; Kai Cheng https://orcid.org/0000-0001-6872-9736.-
dc.identifier.citationWang, 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.en_US
dc.identifier.issn0268-3768-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26505-
dc.descriptionPlease 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 The version archived on this institutional repository is a preprint from Research Square:that has not been peer reviewed.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/).en_US
dc.descriptionData availability: The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.-
dc.format.extent6255 - 6269-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.rightsThis preprint is not peer reviewed. It is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectthin-walled micro-scale partsen_US
dc.subjectmicro-millingen_US
dc.subjectfractal dimensionen_US
dc.subjectprincipal component analysisen_US
dc.subjectadvanced optimization algorithmsen_US
dc.titleOptimization of the process parameters for micro-milling thin-walled micro-parts using advanced algorithmsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1007/s00170-022-09729-5-
dc.relation.isPartOfInternational Journal of Advanced Manufacturing Technology-
pubs.issue9-10-
pubs.publication-statusPublished-
pubs.volume121-
dc.identifier.eissn1433-3015-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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