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In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach.

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Title: In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach.
Authors: Atwya, Mohamed1, Matwya1@sheffield.ac.uk, Panoutsos, George1
Source: Journal of Intelligent Manufacturing; Aug2024, Vol. 35 Issue 6, p2719-2742, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178293590
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PubType: Academic Journal
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  Data: In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Aug2024, Vol. 35 Issue 6, p2719-2742, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178293590
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        Value: 10.1007/s10845-023-02170-9
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 2719
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      – TitleFull: In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach.
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            NameFull: Atwya, Mohamed
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              M: 08
              Text: Aug2024
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              Y: 2024
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