The objective is focusing on the prediction of dielectric properties of the polypropylene
composites reinforced with banana fiber using an Artificial Neural Network (ANN). To …

AM, referred to as 3DP, has revolutionized the production of complex tools and micro-
manufactured products. Its ability to create intricate designs with varying mechanical …

The tuning of the viscosity of polyurethane (PU) during its polymerization enables its use in
different applications including the liquid composite molding (LCM). In this work, the …

Polybenzoxazine (BA‐a) based nanocomposites with varying amounts of Bi2O3 particles
reinforcement (10, 20, and 30 wt%) were produced. The structures of the Bi2O3 before and …

The development of low electrical and thermal properties of Polyamide (PA), which is used
in place of metals in engineering applications, draws attention to the developments in …

Polyamide 66 (PA 66) or Nylon 66 is a strong, easily processed polymer with high thermal
resistance and excellent mechanical properties. Tungsten carbide (WC/Co-Cr 86/10-4) …

Aiming at the prediction of rail wear and crack initiation, based on the data measurement
and analysis of the actual on-site wear and crack initiation of rails. A BP neural network …

Purpose The complex geometry of many composites is in a loose multi-phase and the large
difference in the mechanical and electrical properties of the different components makes it …

In order to establish a model for predicting partial wear and crack initiation of disc
suspension porcelain insulators, this article presents a novel approach for predicting …

Recently, plastic gears are given higher importance due to their reduced weight, cost-
effectiveness, lower noise, and vibration. Among the plastic gears, polyamide (PA) gears are …