Optimal Formulation of Hybrid Polypropylene Composites Reinforced Crab Shell Flour and Rubberwood Sawdust after Immersing in Different Water Conditions for Applications in Tropical Countries

Author:

Khamtree Sriwan1,Homkhiew Chatree2,Sriva Chainarong2,Ratanawilai Thanate3,Rawangwong Surasit2

Affiliation:

1. Songkhla Rajabhat University

2. Rajamangala University of Technology Srivijaya

3. Prince of Songkla University

Abstract

Abstract

Hybrid recycled polypropylene (rPP) composites reinforced with crab shell (CS) waste and rubberwood sawdust (RWS) were developed for applications in tropical countries. The D-optimal mixture design was applied in experiments, to determine the effects of the three main fractions including rPP, RWS, and CS on the mechanical properties after immersing in distilled water and seawater. Response Surface Methodology (RSM) was used to identify the optimal formulation that maximizes the mechanical properties of the hybrid composites. The results indicated that the mechanical properties fit best with the quadratic models. Statistical analysis revealed that all the models had a less p-value than 0.05 (α = 0.05) and could accurately predict the mechanical properties. Moreover, these factors negatively affected the mechanical properties whereas the CS had the highest coefficient of all the models. The mechanical properties of the hybrid composites immersed in seawater decreased significantly compared to those immersed in distilled water. Therefore, an optimal formulation of overall mechanical properties was 55.1 wt% rPP, 32.5 wt% RWS, 6.9 wt% CS, 4.0 wt% maleic anhydride-grafted polypropylene, 0.5 wt% ultraviolet stabilizer, and 1.0 wt% lubricant with a desirability score of 0.976. Finally, the optimal formulation of the hybrid composites has been presented and is expected to be applied for applications and waste management from natural materials. Keywork: Hybrid composites, Crab shell, Rubberwood sawdust, Mechanical Properties, Optimal formulation

Publisher

Research Square Platform LLC

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