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A generalized machine learning framework for data-driven prediction of relative density in laser powder bed fusion parts.

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Title: A generalized machine learning framework for data-driven prediction of relative density in laser powder bed fusion parts.
Authors: Khalad, Abdul1,2 (AUTHOR), Telasang, Gururaj3 (AUTHOR), Kadali, Kondababu1,2 (AUTHOR), Zhang, Peng Neo4 (AUTHOR), Xu, Wei2 (AUTHOR), Chinthapenta, Viswanath1 (AUTHOR) viswanath@mae.iith.ac.in
Source: International Journal of Advanced Manufacturing Technology. Dec2024, Vol. 135 Issue 9/10, p4147-4167. 21p.
Database: Academic Search Ultimate
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  Data: A generalized machine learning framework for data-driven prediction of relative density in laser powder bed fusion parts.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Dec2024, Vol. 135 Issue 9/10, p4147-4167. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180991388
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00170-024-14735-w
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 4147
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      – TitleFull: A generalized machine learning framework for data-driven prediction of relative density in laser powder bed fusion parts.
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            NameFull: Khalad, Abdul
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            NameFull: Telasang, Gururaj
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            NameFull: Kadali, Kondababu
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            NameFull: Zhang, Peng Neo
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            NameFull: Xu, Wei
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            NameFull: Chinthapenta, Viswanath
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            – D: 15
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 135
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            – TitleFull: International Journal of Advanced Manufacturing Technology
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