Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm.

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Title: Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm.
Authors: Tayyab, Mohd1, Ahmad, Shadab2, shadab.gkp09@gmail.com, Akhtar, Md Jamil2, Sathikh, Peer M3, Singari, Ranganath. M.1,2
Source: International Journal of Computer Integrated Manufacturing; Sep2023, Vol. 36 Issue 9, p1295-1312, 18p, 6 Diagrams, 8 Charts, 10 Graphs
Database: Applied Science & Technology Source
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An: 171339256
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  Data: Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Integrated+Manufacturing%22">International Journal of Computer Integrated Manufacturing</searchLink>; Sep2023, Vol. 36 Issue 9, p1295-1312, 18p, 6 Diagrams, 8 Charts, 10 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171339256
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0951192X.2022.2104462
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1295
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      – TitleFull: Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm.
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            NameFull: Tayyab, Mohd
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            NameFull: Ahmad, Shadab
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            NameFull: Akhtar, Md Jamil
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            NameFull: Sathikh, Peer M
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            NameFull: Singari, Ranganath. M.
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          Dates:
            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 36
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              Value: 9
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            – TitleFull: International Journal of Computer Integrated Manufacturing
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