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 R^2_training, R^2_testing, R^2_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.
Composite material mechanical properties neuro-regression analysis optimization
Birincil Dil | İngilizce |
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Konular | Yapay Zeka |
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 30 Ağustos 2021 |
Gönderilme Tarihi | 24 Temmuz 2021 |
Yayımlandığı Sayı | Yıl 2021 Cilt: 1 Sayı: 1 |
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