Composites, blends, and polymer membranes are all examples of processes that may
benefit from response surface methodology (RSM) to optimize material characteristics. RSM …

Graphene, a single layer of carbon atoms arranged in a two-dimensional honeycomb lattice,
has garnered significant attention in recent years due to its exceptional properties and …

This study aims to explore the tensile and impact properties (tensile strength, modulus of
elasticity, and impact strength) of polypropylene (PP)-based nanocomposites reinforced with …

This study aims to investigate the mechanical properties of hybrid polypropylene and
ethylene-propylene-monomer (EPDM)-based nanocomposites reinforced with graphene …

The present study investigates the mechanical and morphological properties of
polypropylene (PP)-based nanocomposites reinforced with basalt fiber, graphene …

Abstract Polyamide 6/Acrylonitrile butadiene rubber/Perlite nanocomposites with different
percentages of NBR phase and perlite nanoparticle were prepared using the melt mixing …

Abstract This study employed Deep Neural Networks (DNNs) and Response Surface
Methodology (RSM) for flexural analysis of 3D-printed sandwich beams with chiral cores …

The low deflection at break of unsaturated polyester resin-based composites is a problem in
many industrial applications. In this work an attempt was made to optimize the bulk molding …

A novel method is proposed to quickly predict the tensile strength of carbon/epoxy
composites with resin-missing defects. The univariate Chebyshev prediction model (UCPM) …

In this study, a comprehensive model was proposed in order to predict the tensile strength of
nanocomposites considering the effects of the random orientation of nanoparticles …