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Mechanism and data hybrid-driven cutting forces prediction model for end milling.

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Title: Mechanism and data hybrid-driven cutting forces prediction model for end milling.
Authors: Ni, Chang1, Yang, Jixiang1, jixiangyang@hust.edu.cn, Ding, Han1
Source: Journal of Intelligent Manufacturing; Jan2026, Vol. 37 Issue 1, p481-503, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191287673
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Mechanism and data hybrid-driven cutting forces prediction model for end milling.
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  Data: <searchLink fieldCode="AU" term="%22Ni%2C+Chang%22">Ni, Chang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Jixiang%22">Yang, Jixiang</searchLink><relatesTo>1</relatesTo>, <i>jixiangyang@hust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Ding%2C+Han%22">Ding, Han</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Jan2026, Vol. 37 Issue 1, p481-503, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191287673
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10845-024-02555-4
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 481
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      – TitleFull: Mechanism and data hybrid-driven cutting forces prediction model for end milling.
        Type: main
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            NameFull: Ni, Chang
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            NameFull: Yang, Jixiang
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            NameFull: Ding, Han
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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            – TitleFull: Journal of Intelligent Manufacturing
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