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A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality.

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Title: A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality.
Authors: Jamshidi, Hamid1,2, Budak, Erhan1, ebudak@sabanciuniv.edu
Source: Journal of Intelligent Manufacturing; Jan2024, Vol. 35 Issue 1, p161-173, 13p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality.
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        Value: 10.1007/s10845-022-02031-x
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        Text: English
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        PageCount: 13
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              Text: Jan2024
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              Y: 2024
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