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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 171339256 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tayyab%2C+Mohd%22">Tayyab, Mohd</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ahmad%2C+Shadab%22">Ahmad, Shadab</searchLink><relatesTo>2</relatesTo>, <i>shadab.gkp09@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Akhtar%2C+Md+Jamil%22">Akhtar, Md Jamil</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Sathikh%2C+Peer+M%22">Sathikh, Peer M</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Singari%2C+Ranganath%2E+M%2E%22">Singari, Ranganath. M.</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src 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: BibEntity: Identifiers: – Type: doi Value: 10.1080/0951192X.2022.2104462 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1295 Titles: – TitleFull: Prediction of mechanical properties for acrylonitrile-butadiene-styrene parts manufactured by fused deposition modelling using artificial neural network and genetic algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tayyab, Mohd – PersonEntity: Name: NameFull: Ahmad, Shadab – PersonEntity: Name: NameFull: Akhtar, Md Jamil – PersonEntity: Name: NameFull: Sathikh, Peer M – PersonEntity: Name: NameFull: Singari, Ranganath. M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 0951192X Numbering: – Type: volume Value: 36 – Type: issue Value: 9 Titles: – TitleFull: International Journal of Computer Integrated Manufacturing Type: main |
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