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.
Primary Language | English |
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Subjects | Artificial Intelligence |
Journal Section | Research Articles |
Authors | |
Publication Date | August 30, 2021 |
Submission Date | July 24, 2021 |
Published in Issue | Year 2021 Volume: 1 Issue: 1 |
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