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Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg.

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Title: Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg.
Authors: Luo, Qixiang1, Huang, Nancy1, Bartles, Dean L.2, Simpson, Timothy W.3,4, Beese, Allison M.1,4, amb961@psu.edu
Source: Journal of Intelligent Manufacturing; Feb2026, Vol. 37 Issue 2, p909-931, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191453189
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg.
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  Data: <searchLink fieldCode="AU" term="%22Luo%2C+Qixiang%22">Luo, Qixiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Nancy%22">Huang, Nancy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Bartles%2C+Dean+L%2E%22">Bartles, Dean L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Simpson%2C+Timothy+W%2E%22">Simpson, Timothy W.</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Beese%2C+Allison+M%2E%22">Beese, Allison M.</searchLink><relatesTo>1,4</relatesTo>, <i>amb961@psu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Feb2026, Vol. 37 Issue 2, p909-931, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191453189
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        Value: 10.1007/s10845-025-02576-7
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg.
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            NameFull: Luo, Qixiang
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            NameFull: Huang, Nancy
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            NameFull: Bartles, Dean L.
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            NameFull: Simpson, Timothy W.
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 37
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