Green materials have received great interest in wide industrial applications due to their desired properties. However, the reinforcing conditions have a significant impact on how they perform in their final use. The current study intends to statistically examine the effects of three key parameters on the average tensile strength of polypropylene composites. These factors included the type of fiber, the chemical treatment, and the fiber's weight percentage. The fibers were hemp and sisal, and the weight percentages were 10, 20, and 30. While some of them received sodium hydroxide (NaOH) treatment, the rest were left untreated. The main effect and the interaction effect were both examined using the analysis of variance (ANOVA). The findings demonstrated that, on average, the weight percentage had no tangible effect on the tensile strength of polypropylene (PP) composites. Additionally, the performance of sisal and hemp composites was unaffected by treatment. The strength, however, is significantly influenced by the type of fiber. The investigation also showed that there was little difference between untreated hemp and untreated sisal in terms of tensile strength.

This study aims to examine the potential improvement of uniform corrosion resistance and critical pitting potential of AISI 316L stainless steel (SS) in a simulated marine environment containing 3.5 wt. % NaCl by applying layer of gelatin containing HfO2 nanoparticles using spin coating. Also, to examine the statistical significance of using different weight fractions of HfO2 in the applied layer on the corrosion protection performance. The corrosion performance was assessed from potentiodynamic polarization. X-ray diffraction (XRD) was used to check the presence of HfO2 in gelatin matrix. Scanning electron microscopy (SEM), and energy dispersive X-ray analysis (EDX) were used to examine the surface morphology and elemental composition of corrosion products. The results showed that the applied nanocomposite coatings enhanced both uniform and localized corrosion resistance of the underlying AISI 316L SS, also Analysis of Variance (ANOVA) test approved that the weight fractions of dispersed HfO2 nanoparticles have a statistical significant effect on the corrosion performance. Nanocomposites coating having 2 wt.% of HfO2 showed the best performance as compared to other examined coatings.