Thermoplastic composites of polypropylene/biopolymer blends and wood flour: Parameter optimization with fuzzy-grey relational analysis

In this study, blends of polypropylene (PP) with polylactic acid (PLA) and polyhydroxybutyrate (PHB) biopolymers wood flour were prepared, Fuzzy Grey Multi-Criteria Decision-Making (MCDM) methods used to determine the best properties. The physical, mechanical, thermal, structural, morphological properties composites determined. obtained results showed that PLA generally improved mechanical PP composites. However, did not exhibit a homogeneous distribution in matrix. density increased addition both PHB. X-ray diffraction analysis crystallinity index decreased due low biopolymers. Thermal stability change PHB, but thermal stability. According MCDM analysis, similar.