Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite

This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new biocomposite system. Finally, multiple non-linear models determine the maximum tensile strength and elongation achievable within the constraints. It is found what the optimum input parameters are needed to achieve maximum tensile strength and elongation at break values of the material and that the type of scenario and the choice of constraints for design variables are critical in the optimization problem.

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maximum optimization values material constraints strength multiple models elongation tensile mechanical composite properties variables determine non-linear Finally critical system biocomposite optimize predict problem design choice achievable within scenario optimum parameters approach needed achieve stochastic analysis
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Detaylı Görünüm
Eser Adı
(dc.title)
Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite
Eser Sahibi
(dc.contributor.author)
Naciye Burcu KARTAL
Yayın Tarihi
(dc.date.issued)
2021
Yayıncı
(dc.publisher)
Journal of Artificial Intelligence and Data Science
Tür
(dc.type)
Makale
Özet
(dc.description.abstract)
This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new biocomposite system. Finally, multiple non-linear models determine the maximum tensile strength and elongation achievable within the constraints. It is found what the optimum input parameters are needed to achieve maximum tensile strength and elongation at break values of the material and that the type of scenario and the choice of constraints for design variables are critical in the optimization problem.
Kayıt Giriş Tarihi
(dc.date.accessioned)
2022-06-06
Açık Erişim Tarihi
(dc.date.available)
2022-06-06
Yayın Dili
(dc.language.iso)
eng
Konu Başlıkları
(dc.subject)
Composite material
Konu Başlıkları
(dc.subject)
Kompozit malzemeler
Atıf için Künye
(dc.identifier.citation)
N. B. Kartal , "Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite", Journal of Artificial Intelligence and Data Science, c. 1, sayı. 1, ss. 80-88, Ağu. 2021
ISSN
(dc.identifier.issn)
2791-8335
Yayının ilk sayfa sayısı
(dc.identifier.startpage)
80
Yayının son sayfa sayısı
(dc.identifier.endpage)
88
Dergi Adı
(dc.relation.journal)
Journal of Artificial Intelligence and Data Science
Dergi Sayısı
(dc.identifier.issue)
1
Dergi Cilt
(dc.identifier.volume)
1
Haklar
(dc.rights)
Open access
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/11469/1933
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