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Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder

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Τίτλος: Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder
Συγγραφείς: Obeidat, SuleimanAff1, Hasan, RakibAff2, Anik, Rahagir RidwanAff1, Faruqui, Syed Hasib AkhterAff1, IDs0017002618483x_cor1
Πηγή: The International Journal of Advanced Manufacturing Technology. 145(34):2861-2875
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s00170-026-18483-x
    Name: EDS - Springer Nature Journals (s7799221)
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <i>The International Journal of Advanced Manufacturing Technology</i>. 145(34):2861-2875
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        Value: 10.1007/s00170-026-18483-x
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      – Text: English
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        PageCount: 15
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      – TitleFull: Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder
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            NameFull: Obeidat, Suleiman
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            NameFull: Hasan, Rakib
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            NameFull: Anik, Rahagir Ridwan
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            – D: 01
              M: 07
              Type: published
              Y: 2026
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              Value: 145
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              Value: 34
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