Predicting viscosity in polyurethane polymerization for liquid composite molding using neural networks and surface methodology

Effect of Hybridization of Carbon Fibers on Mechanical Properties of Cellulose Fiber–Cement Composites: A Response Surface Methodology Study

“…The equation used for this purpose is based on a 2D quadratic polynomial (for flexural and compressive properties), with the orthogonal distance regression serving as the interaction algorithm (Equation ( 1)). For toughness, a planar function was employed to fit the response surface, using the Levenberg-Marquardt interaction algorithm (Equation ( 2)) [16].…”

“…to fit the response surface, using the Levenberg-Marquardt interaction algorithm (Equation ( 2)) [16].…”

“…None of these studies applied the Response Surface Methodology (RSM), which is a statistical and mathematical technique commonly used in experimental design and optimization. According to Cruz et al [16], RSM is particularly useful for studying the relationship between multiple independent variables and a response variable. In the work of Manral et al [17], RSM was applied with a face-centered central composite design to develop regression models, predicting the relationship between chemical treatment parameters for natural fibers using a quadratic model.…”