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

Year 2021, Volume: 1 Issue: 1, 80 - 88, 30.08.2021

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 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.

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There are 12 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Articles
Authors

Naciye Burcu Kartal This is me

Publication Date August 30, 2021
Submission Date July 24, 2021
Published in Issue Year 2021 Volume: 1 Issue: 1

Cite

IEEE N. B. Kartal, “Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite”, Journal of Artificial Intelligence and Data Science, vol. 1, no. 1, pp. 80–88, 2021.

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